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We are seeking an experienced Data Engineering Manager to lead a team of 10 skilled data engineers. The successful candidate will collaborate closely with business and technology stakeholders across multiple regions in APAC, translating business needs into a clear and prioritized delivery backlog. You will be accountable for driving data engineering best practices, ensuring timely delivery, and fostering a high-performance culture within the team. Role Description

We are seeking an experienced Data Engineering Manager to lead a team of 10 skilled data engineers. The successful candidate will collaborate closely with business and technology stakeholders across multiple regions in APAC, translating business needs into a clear and prioritized delivery backlog. You will be accountable for driving data engineering best practices, ensuring timely delivery, and fostering a high-performance culture within the team.

Key Responsibilities

Lead, mentor, and manage a team of 10 data engineers, ensuring high-quality deliverables and adherence to engineering best practices. Partner with stakeholders from multiple APAC regions to understand business priorities, gather requirements, and translate them into a well-defined product backlog. Prioritize and manage the backlog to align with strategic business objectives and technical feasibility. Oversee the design, development, and maintenance of scalable, high-performance data pipelines and data models. Ensure data quality, security, and governance standards are met across all projects. Facilitate effective communication between the data engineering team and cross-functional teams, including data scientists, analysts, and product managers. Monitor delivery timelines, proactively identify risks, and implement mitigation plans. Drive continuous improvement in processes, tools, and team capabilities.

Required Skills & Qualifications

15+ years of experience in data engineering, with at least 3 years in a people management role. Proven track record in managing distributed teams and delivering complex data engineering projects. Strong experience with cloud-based data platforms (e.g., Azure, AWS, GCP) and modern data engineering tools. Solid understanding of data modeling (dimensional and relational), ETL/ELT design, and data warehouse architectures. Strong stakeholder management and communication skills, with experience engaging teams across multiple geographies. Ability to prioritize work, manage competing demands, and deliver results under tight timelines. Familiarity with Agile methodologies and backlog management tools (e.g., Jira, Azure DevOps).

Preferred Qualifications

Experience with Azure Data Factory, Azure Synapse Analytics, Databricks, and ADLS Gen2. Knowledge of data governance tools and frameworks. Exposure to APAC market dynamics and cross-cultural collaboration.

Skills

Data Engineering,Data Management,Excellent Communication Seniority level

Seniority level Not Applicable Employment type

Employment type Full-time Job function

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Select how often (in days) to receive an alert:

Date: 8 Aug 2025

Service Line / Portfolios: Engineering, AI & Data

Location:

Manila, PH

Title: Cloud Consultant based in Deloitte Consulting Philippines Delivery Center

Are you ready to unleash your potential?

At Deloitte, our purpose is to make an impact that matters for our clients, our people, and the communities we serve.

We believe we have a responsibility to be a force for good, and WorldImpact is our portfolio of initiatives focused on making a tangible impact on society’s biggest challenges and creating a better future. We strive to advise clients on how to deliver purpose-led growth and embed more equitable, inclusive as well as sustainable business practices.

Hence, we seek talented individuals driven to excel and innovate, working together to achieve our shared goals.

We are committed to creating positive work experiences that foster a culture of respect and inclusion, where diverse perspectives are celebrated, and everyone is recognized for their contributions.

Ready to unleash your potential with us? Join the winning team now!

Work you will do

Deloitte’s Engineering offers help to enable organization’s end-to-end journey from on-premise legacy systems to the cloud, from design through deployment, and leading to the ultimate destination—a transformed organization primed for growth.

As a Cloud Engineer, you will help build and connect sustainable cloud-native systems to thrive in the cloud ecosystem. Services include: Strategy & Architecture; Assets & Industry Solutions; Engineering & Integration

• Based on selection criteria set up driver tables for key migration objects to track data through migration process
• Based on mapping rules, develop data migration transform jobs using SQL with adequate tracing
• Establish exception handling through transform process
• Set up store procedures in Amazon Aurora PostgreSQL database to automate the migration pipeline
• Setup and manage code versioning using CodeCommit in AWS
• Follow best practice coding principles ensuring it is well structured and comments are included in code so it can be understood and diagnosed by another developer
• Produce documentation outlining pipeline and key code elements to enable handover of code
• Use AWS Data Migration Service to load data into target structure
• Perform and monitor ETL activities for test loads in Non-Production environments
• Receive feedback from peer review of code
• Promptly raise questions/issues or escalate blockers regarding the mapping documents so rules can be clarified by the team
• Clearly communicate and track progress within delivery tracking tools (ADO)

Your role as a leader

At Deloitte, we believe in the importance of empowering our people to be leaders at all levels. We connect our purpose and shared values to identify issues as well as to make an impact that matters to our clients, people and the communities. Additionally, Consultants across our Firm are expected to:

• Demonstrate a strong commitment to personal learning and development.
• Understand how our daily work contributes to the priorities of the team and business.
• Understand the set expectations and demonstrate accountability in keeping personal performance on track.
• Actively focus on developing effective communications and relationship-building skills with stakeholders, clients and team.
• Demonstrate an appreciation for working with others.
• Understand what is fundamental to Deloitte’s success as a business.
• Demonstrate integrity and an awareness of strengths, differences, and personal impact.
• Develop their understanding of Deloitte and offer a fresh perspective.

Enough about us, let’s talk about you

• Bachelor’s degree in Software Engineering, Information Technology, or equivalent
• Bachelor’s degree in Software Engineering, Information Technology, or equivalent
• At least 7 years working experience as a Data Engineer; adept experience in data engineering principles and how to apply advanced data manipulation processes to various types of data.
• Knowledge and experience of setting up and managing data engineering (ETL) and store procedures in AWS platform
• Built SQL to perform transformation of data for either analytical reporting or migration purposes – can provide an example of how it was applied and how it was ensured to be performant
• Experience in taking mapping rules to convert into code and then generating technical documentation
• Experience of generating code that is performant across high volume datasets and tuning to ensure transformation can run within the cutover window
• Experience in generating technical documentation
• High attention to detail
• Motivated and interested to learn
• Clear written and spoken communication in English

What is in store for you?

• Embrace the dynamic nature of our work environment with the opportunity to work on a hybrid set-up and on a shifting schedule.
• Rewards platform – your hard work won't go unnoticed at Deloitte!
• Training and development - at Deloitte we believe in investing in our best assets, the people! You will have access to world class training and funding towards industry and other professional certifications.
• Receive support andv mentoring to progress your career. You will have access to mentors and coaches who will help you pave a path for career progression.
• Benefits effective upon hiring including paid time off and holidays, health, and life insurance!

Next Steps

Sound like the sort of role for you? Apply now.

Due to volume of applications, we regret only shortlisted candidates will be notified.

Candidates will only be contacted by authorized Deloitte Recruiters via firm’s business contact number or business email address.

In Philippines, the services are provided by Navarro Amper & Co and other related entities in Philippines ("Deloitte in Philippines"), which are affiliates of Deloitte Southeast Asia Ltd. Deloitte Southeast Asia Ltd is a member firm of Deloitte Touche Tohmatsu Limited. Deloitte in Philippines, which is within the Deloitte Network, is the entity that is providing this Website.

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Select how often (in days) to receive an alert: Date: 8 Aug 2025 Service Line / Portfolios: Engineering, AI & Data Location: Manila, PH

Title:

Cloud Consultant based in Deloitte Consulting Philippines Delivery Center Are you ready to unleash your potential? At Deloitte, our purpose is to make an impact that matters for our clients, our people, and the communities we serve. We believe we have a responsibility to be a force for good, and WorldImpact is our portfolio of initiatives focused on making a tangible impact on society’s biggest challenges and creating a better future. We strive to advise clients on how to deliver purpose-led growth and embed more equitable, inclusive as well as sustainable business practices. Hence, we seek talented individuals driven to excel and innovate, working together to achieve our shared goals. We are committed to creating positive work experiences that foster a culture of respect and inclusion, where diverse perspectives are celebrated, and everyone is recognized for their contributions. Ready to unleash your potential with us? Join the winning team now! Work you will do Deloitte’s Engineering offers help to enable organization’s end-to-end journey from on-premise legacy systems to the cloud, from design through deployment, and leading to the ultimate destination—a transformed organization primed for growth. As a Cloud Engineer, you will help build and connect sustainable cloud-native systems to thrive in the cloud ecosystem. Services include: Strategy & Architecture; Assets & Industry Solutions; Engineering & Integration Based on selection criteria set up driver tables for key migration objects to track data through migration process Based on mapping rules, develop data migration transform jobs using SQL with adequate tracing Establish exception handling through transform process Set up store procedures in Amazon Aurora PostgreSQL database to automate the migration pipeline Setup and manage code versioning using CodeCommit in AWS Follow best practice coding principles ensuring it is well structured and comments are included in code so it can be understood and diagnosed by another developer Produce documentation outlining pipeline and key code elements to enable handover of code Use AWS Data Migration Service to load data into target structure Perform and monitor ETL activities for test loads in Non-Production environments Receive feedback from peer review of code Promptly raise questions/issues or escalate blockers regarding the mapping documents so rules can be clarified by the team Clearly communicate and track progress within delivery tracking tools (ADO) Your role as a leader At Deloitte, we believe in the importance of empowering our people to be leaders at all levels. We connect our purpose and shared values to identify issues as well as to make an impact that matters to our clients, people and the communities. Additionally, Consultants across our Firm are expected to: Demonstrate a strong commitment to personal learning and development. Understand how our daily work contributes to the priorities of the team and business. Understand the set expectations and demonstrate accountability in keeping personal performance on track. Actively focus on developing effective communications and relationship-building skills with stakeholders, clients and team. Demonstrate an appreciation for working with others. Understand what is fundamental to Deloitte’s success as a business. Demonstrate integrity and an awareness of strengths, differences, and personal impact. Develop their understanding of Deloitte and offer a fresh perspective. Enough about us, let’s talk about you Bachelor’s degree in Software Engineering, Information Technology, or equivalent Bachelor’s degree in Software Engineering, Information Technology, or equivalent At least 7 years working experience as a Data Engineer; adept experience in data engineering principles and how to apply advanced data manipulation processes to various types of data. Knowledge and experience of setting up and managing data engineering (ETL) and store procedures in AWS platform Built SQL to perform transformation of data for either analytical reporting or migration purposes – can provide an example of how it was applied and how it was ensured to be performant Experience in taking mapping rules to convert into code and then generating technical documentation Experience of generating code that is performant across high volume datasets and tuning to ensure transformation can run within the cutover window Experience in generating technical documentation High attention to detail Motivated and interested to learn Clear written and spoken communication in English What is in store for you? Embrace the dynamic nature of our work environment with the opportunity to work on a hybrid set-up and on a shifting schedule. Rewards platform – your hard work won't go unnoticed at Deloitte! Training and development - at Deloitte we believe in investing in our best assets, the people! You will have access to world class training and funding towards industry and other professional certifications. Receive support andv mentoring to progress your career. You will have access to mentors and coaches who will help you pave a path for career progression. Benefits effective upon hiring including paid time off and holidays, health, and life insurance! Next Steps Sound like the sort of role for you? Apply now. Due to volume of applications, we regret only shortlisted candidates will be notified. Candidates will only be contacted by authorized Deloitte Recruiters via firm’s business contact number or business email address. In Philippines, the services are provided by Navarro Amper & Co and other related entities in Philippines ("Deloitte in Philippines"), which are affiliates of Deloitte Southeast Asia Ltd. Deloitte Southeast Asia Ltd is a member firm of Deloitte Touche Tohmatsu Limited. Deloitte in Philippines, which is within the Deloitte Network, is the entity that is providing this Website.

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EDWARDS LIFESCIENCES (MALAYSIA) SDN. BHD. 4.6 5 reviews · View all jobs

Add expected salary to your profile for insights

Innovation starts from the heart. Edwards Lifesciences is the leading global structural heart innovation company, driven by a passion to improve patient lives. With millions of patients served in over 100 countries, each team makes a meaningful contribution by improving patient outcomes and discovering lasting solutions for unmet patient needs.Our Associate Analyst, Data Engineering (Advanced Analytics & Insight) position is a unique career opportunity that could be your next step towards an exciting future.

How you will make an impact :

• Oversee JAPAC Edwards Data architecture, strategically design data solutions and managing projects for timely delivery of business value.
• Design state-of-the-art data structure to fulfill Edwards's data needs.
• Engage in agile discussion with team members to produce the best approach for data.
• Convert business requirements into specifications and devise data structure using the Snowflake platform.
• Define data structure guidelines and execute the solution.
• Outline and administer technical infrastructural prerequisites for deploying data solutions while adhering to IT security protocols.
• Liaise with key Edwards stakeholders, articulating clear solution roadmaps and rollout schemes.
• Troubleshoot technical challenges and handle risks to expedite completion schedules.
• Fine-tune data performance, solve operational glitches, and refine functionalities.
• Support Operations lead with issue escalation and resolution to adhere to SLA commitments.

What you'll need (Requir ements):

• Bachelor’s degree in engineering, mathematical or technical field (e.g., Computer Science, Information Management System) with 1-2 years’ experience required progressively direct experience delivering projects with Snowflake or SQL is a must.
• Proven experience as a data engineer, with a deep understanding of data structure concepts and methodologies ideally within a regulated commercial operations context & Snowflake environment.
• Prior experience or taken part in data migration exercises would be advantageous.
• Competence in intricate technical project management.
• Certification from Snowflake would be advantageous.

What else we look for (Preferred) :

• Advanced skills in Snowflake or SQL are preferred.
• Knowledge and experience in Tableau & Salesforce are desirable.
• Fluency in programming languages such as SQL.
• A strong background in relational databases and IT infrastructure components.
• High-level communication and presentation abilities.
• Adeptness to work effectively in both autonomous and collaborative team settings.
• An extensive comprehension of healthcare or medical device sectors is an asset.
• Valuable insights into complex global business operations.

SHARE THIS JOB

Unlock job insights

Salary match Number of applicants Skills match

Healthcare & Medical More than 10,000 employees

We are a global leader in patient-focused medical innovations for structural heart disease, as well as critical care and surgical monitoring. Driven by a passion to help patients, we collaborate with the world's leading clinicians and researchers to address unmet healthcare needs, working to improve patient outcomes and enhance lives. Headquartered in Irvine, California, we have extensive operations in North America, Europe, Japan, Latin America, and Asia and currently employ over 14,000 individuals worldwide.

For us, helping patients is not a slogan - it's our life's work. From developing devices that replace or repair a diseased heart valve to creating new technologies that monitor vital signs in the critical care setting, we focus on helping patients regain and improve the quality of their life.

We are a global leader in patient-focused medical innovations for structural heart disease, as well as critical care and surgical monitoring. Driven by a passion to help patients, we collaborate with the world's leading clinicians and researchers to address unmet healthcare needs, working to improve patient outcomes and enhance lives. Headquartered in Irvine, California, we have extensive operations in North America, Europe, Japan, Latin America, and Asia and currently employ over 14,000 individuals worldwide.

For us, helping patients is not a slogan - it's our life's work. From developing devices that replace or repair a diseased heart valve to creating new technologies that monitor vital signs in the critical care setting, we focus on helping patients regain and improve the quality of their life.

Be careful This job ad has not been subjected to our hirer verification process. Proceed cautiously and do your own checks before providing any personal information. Learn how to protect yourself Report this job ad

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EDWARDS LIFESCIENCES (MALAYSIA) SDN. BHD. 4.5 4 reviews · View all jobs

Add expected salary to your profile for insights

Innovation starts from the heart. Edwards Lifesciences is the leading global structural heart innovation company, driven by a passion to improve patient lives. With millions of patients served in over 100 countries, each team makes a meaningful contribution by improving patient outcomes and discovering lasting solutions for unmet patient needs.Our Associate Analyst, Data Engineering (Advanced Analytics & Insight) position is a unique career opportunity that could be your next step towards an exciting future.

How you will make an impact :

• Oversee JAPAC Edwards Data architecture, strategically design data solutions and managing projects for timely delivery of business value.
• Design state-of-the-art data structure to fulfill Edwards's data needs.
• Engage in agile discussion with team members to produce the best approach for data.
• Convert business requirements into specifications and devise data structure using the Snowflake platform.
• Define data structure guidelines and execute the solution.
• Outline and administer technical infrastructural prerequisites for deploying data solutions while adhering to IT security protocols.
• Liaise with key Edwards stakeholders, articulating clear solution roadmaps and rollout schemes.
• Troubleshoot technical challenges and handle risks to expedite completion schedules.
• Fine-tune data performance, solve operational glitches, and refine functionalities.
• Support Operations lead with issue escalation and resolution to adhere to SLA commitments.

What you'll need (Requir ements):

• Bachelor’s degree in engineering, mathematical or technical field (e.g., Computer Science, Information Management System) with 1-2 years’ experience required progressively direct experience delivering projects with Snowflake or SQL is a must.
• Proven experience as a data engineer, with a deep understanding of data structure concepts and methodologies ideally within a regulated commercial operations context & Snowflake environment.
• Prior experience or taken part in data migration exercises would be advantageous.
• Competence in intricate technical project management.
• Certification from Snowflake would be advantageous.

What else we look for (Preferred) :

• Advanced skills in Snowflake or SQL are preferred.
• Knowledge and experience in Tableau & Salesforce are desirable.
• Fluency in programming languages such as SQL.
• A strong background in relational databases and IT infrastructure components.
• High-level communication and presentation abilities.
• Adeptness to work effectively in both autonomous and collaborative team settings.
• An extensive comprehension of healthcare or medical device sectors is an asset.
• Valuable insights into complex global business operations.

SHARE THIS JOB

How do your skills match this job?

How do your skills match this job? Sign in and update your profile to get insights.

Healthcare & Medical More than 10,000 employees

We are a global leader in patient-focused medical innovations for structural heart disease, as well as critical care and surgical monitoring. Driven by a passion to help patients, we collaborate with the world's leading clinicians and researchers to address unmet healthcare needs, working to improve patient outcomes and enhance lives. Headquartered in Irvine, California, we have extensive operations in North America, Europe, Japan, Latin America, and Asia and currently employ over 14,000 individuals worldwide.

For us, helping patients is not a slogan - it's our life's work. From developing devices that replace or repair a diseased heart valve to creating new technologies that monitor vital signs in the critical care setting, we focus on helping patients regain and improve the quality of their life.

We are a global leader in patient-focused medical innovations for structural heart disease, as well as critical care and surgical monitoring. Driven by a passion to help patients, we collaborate with the world's leading clinicians and researchers to address unmet healthcare needs, working to improve patient outcomes and enhance lives. Headquartered in Irvine, California, we have extensive operations in North America, Europe, Japan, Latin America, and Asia and currently employ over 14,000 individuals worldwide.

For us, helping patients is not a slogan - it's our life's work. From developing devices that replace or repair a diseased heart valve to creating new technologies that monitor vital signs in the critical care setting, we focus on helping patients regain and improve the quality of their life.

Be careful This job ad has not been subjected to our hirer verification process. Proceed cautiously and do your own checks before providing any personal information. Learn how to protect yourself Report this job ad

#J-18808-Ljbffr

Innovation starts from the heart. Edwards Lifesciences is the leading global structural heart innovation company, driven by a passion to improve patient lives. With millions of patients served in over 100 countries, each team makes a meaningful contribution by improving patient outcomes and discovering lasting solutions for unmet patient needs. Our Associate Analyst, Data Engineering (Advanced Analytics & Insight) position is a unique career opportunity that could be your next step towards an exciting future.
**How you will make an impact** **:**
+ Oversee JAPAC Edwards Data architecture, strategically design data solutions and managing projects for timely delivery of business value.
+ Design state-of-the-art data structure to fulfill Edwards's data needs.
+ Engage in agile discussion with team members to produce the best approach for data.
+ Convert business requirements into specifications and devise data structure using the Snowflake platform.
+ Define data structure guidelines and execute the solution.
+ Outline and administer technical infrastructural prerequisites for deploying data solutions while adhering to IT security protocols.
+ Liaise with key Edwards stakeholders, articulating clear solution roadmaps and rollout schemes.
+ Troubleshoot technical challenges and handle risks to expedite completion schedules.
+ Maintain comprehensive documentation for data structure.
+ Fine-tune data performance, solve operational glitches, and refine functionalities.
+ Support Operations lead with issue escalation and resolution to adhere to SLA commitments.
**What you'll need (Requir** **ements):**
+ Bachelor's degree in engineering, mathematical or technical field (e.g., Computer Science, Information Management System) with 1-2 years' experience required progressively direct experience delivering projects with Snowflake or SQL is a must.
+ Proven experience as a data engineer, with a deep understanding of data structure concepts and methodologies ideally within a regulated commercial operations context & Snowflake environment.
+ Prior experience or taken part in data migration exercises would be advantageous.
+ Competence in intricate technical project management.
+ Certification from Snowflake would be advantageous.
**What else we look for (Preferred)** **:**
+ Advanced skills in Snowflake or SQL are preferred.
+ Knowledge and experience in Tableau & Salesforce are desirable.
+ Fluency in programming languages such as SQL.
+ A strong background in relational databases and IT infrastructure components.
+ High-level communication and presentation abilities.
+ Adeptness to work effectively in both autonomous and collaborative team settings.
+ An extensive comprehension of healthcare or medical device sectors is an asset.
+ Valuable insights into complex global business operations.

EDWARDS LIFESCIENCES (MALAYSIA) SDN. BHD. 4.6 5 reviews · View all jobs Add expected salary to your profile for insights Innovation starts from the heart. Edwards Lifesciences is the leading global structural heart innovation company, driven by a passion to improve patient lives. With millions of patients served in over 100 countries, each team makes a meaningful contribution by improving patient outcomes and discovering lasting solutions for unmet patient needs.Our Associate Analyst, Data Engineering (Advanced Analytics & Insight) position is a unique career opportunity that could be your next step towards an exciting future. How you will make an impact

: Oversee JAPAC Edwards Data architecture, strategically design data solutions and managing projects for timely delivery of business value. Design state-of-the-art data structure to fulfill Edwards's data needs. Engage in agile discussion with team members to produce the best approach for data. Convert business requirements into specifications and devise data structure using the Snowflake platform. Define data structure guidelines and execute the solution. Outline and administer technical infrastructural prerequisites for deploying data solutions while adhering to IT security protocols. Liaise with key Edwards stakeholders, articulating clear solution roadmaps and rollout schemes. Troubleshoot technical challenges and handle risks to expedite completion schedules. Fine-tune data performance, solve operational glitches, and refine functionalities. Support Operations lead with issue escalation and resolution to adhere to SLA commitments. What you'll need (Requir

ements): Bachelor’s degree in engineering, mathematical or technical field (e.g., Computer Science, Information Management System) with 1-2 years’ experience required progressively direct experience delivering projects with Snowflake or SQL is a must. Proven experience as a data engineer, with a deep understanding of data structure concepts and methodologies ideally within a regulated commercial operations context & Snowflake environment. Prior experience or taken part in data migration exercises would be advantageous. Competence in intricate technical project management. Certification from Snowflake would be advantageous. What else we look for (Preferred)

: Advanced skills in Snowflake or SQL are preferred. Knowledge and experience in Tableau & Salesforce are desirable. Fluency in programming languages such as SQL. A strong background in relational databases and IT infrastructure components. High-level communication and presentation abilities. Adeptness to work effectively in both autonomous and collaborative team settings. An extensive comprehension of healthcare or medical device sectors is an asset. Valuable insights into complex global business operations. SHARE THIS JOB

Unlock job insights

Salary match Number of applicants Skills match Healthcare & Medical More than 10,000 employees We are a global leader in patient-focused medical innovations for structural heart disease, as well as critical care and surgical monitoring. Driven by a passion to help patients, we collaborate with the world's leading clinicians and researchers to address unmet healthcare needs, working to improve patient outcomes and enhance lives. Headquartered in Irvine, California, we have extensive operations in North America, Europe, Japan, Latin America, and Asia and currently employ over 14,000 individuals worldwide. For us, helping patients is not a slogan - it's our life's work. From developing devices that replace or repair a diseased heart valve to creating new technologies that monitor vital signs in the critical care setting, we focus on helping patients regain and improve the quality of their life. We are a global leader in patient-focused medical innovations for structural heart disease, as well as critical care and surgical monitoring. Driven by a passion to help patients, we collaborate with the world's leading clinicians and researchers to address unmet healthcare needs, working to improve patient outcomes and enhance lives. Headquartered in Irvine, California, we have extensive operations in North America, Europe, Japan, Latin America, and Asia and currently employ over 14,000 individuals worldwide. For us, helping patients is not a slogan - it's our life's work. From developing devices that replace or repair a diseased heart valve to creating new technologies that monitor vital signs in the critical care setting, we focus on helping patients regain and improve the quality of their life. Be careful This job ad has not been subjected to our hirer verification process. Proceed cautiously and do your own checks before providing any personal information. Learn how to protect yourself Report this job ad

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Company Description

Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we’re living in and that we have the power to shape.

Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality.

Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward.

Job Description

We are looking for a curious and motivated Junior Data Management Engineer with foundational experience in machine learning to join our growing data team. This role is perfect for someone early in their career who is eager to contribute to data engineering tasks while gaining hands-on exposure to machine learning workflows. You'll help ensure data pipelines are optimized for analytics and ML model development, supporting both operational and strategic decision-making.

Essential Duties And Responsibilities

• Work with multiple stakeholders to identify, diagnose and resolve manufacturing process related problems such as quality excursions, manufacturing excellence and cost improvement.
• Responsible to perform exploratory data analysis (EDA) from different data sources and perform correlation find out the best variables for Fault Detection (FD), Prediction and Run-to-Run modelling setup.
• Responsible to setup ETL pipeline for data integration from different sources to databases.
• Assist in implementing basic machine learning models (e.g., regression, classification) under guidance.
• Monitor data quality and support model performance tracking in production.
• Design and develop machine learning (ML) applications to implement in manufacturing process.
• Build dashboards and reports to visualize process variables, ML outputs and business KPIs.
• Document data flows, ML pipelines, and model metadata for transparency and reproducibility.
  
  

Qualifications

REQUIRED:

• Bachelor’s degree in Computer Science, Data Science, Engineering, Statistics, or a related field.
• 0–2 years of experience in data analytics, data engineering, or machine learning.
• Proficiency in SQL for data querying and manipulation.
• Basic Python programming skills, particularly for data analysis (e.g., pandas, NumPy).
• Understanding of machine learning fundamentals (e.g., supervised learning, model evaluation, overfitting).
  
  

Preferred

• Exposure to building or assisting in ML models using libraries like scikit-learn or TensorFlow.
• Experience with data visualization tools (e.g., Spotfire, Power BI, Tableau).
• Familiarity with version control tools such as Git.
• Experience working in cloud environments (e.g., AWS, GCP, Azure), especially with ML tools like SageMaker or Vertex AI.
• Exposure to ML lifecycle tools like MLflow, DVC, or Kubeflow.
• Familiar with semiconductor manufacturing process, control system functions, manufacturing system (MES/RMS) and communication protocols such as SECS-GEM is an added advantage.
  
  

Skills

• Data preprocessing and feature engineering techniques.
• Basic data pipeline development and ETL/ELT workflows.
• Ability to interpret and visualize data insights.
• Strong analytical and problem-solving mindset.
• Attention to detail and a commitment to data accuracy and integrity.
• Effective written and verbal communication.
• Team collaboration and a proactive learning attitude.
  
  

Additional Information

Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.

Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

NOTICE TO CANDIDATES: Sandisk has received reports of scams where a payment is requested on Sandisk’s behalf as a condition for receiving an offer of employment. Please be aware that Sandisk and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to Sandisk Ethics Helpline or email #J-18808-Ljbffr

**Company Description**
Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today's needs and tomorrow's next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we're living in and that we have the power to shape.
Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality.
Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward.
**Job Description**
We are looking for a curious and motivated Junior Data Management Engineer with foundational experience in machine learning to join our growing data team. This role is perfect for someone early in their career who is eager to contribute to data engineering tasks while gaining hands-on exposure to machine learning workflows. You'll help ensure data pipelines are optimized for analytics and ML model development, supporting both operational and strategic decision-making.
**ESSENTIAL DUTIES AND RESPONSIBILITIES:**
+ Work with multiple stakeholders to identify, diagnose and resolve manufacturing process related problems such as quality excursions, manufacturing excellence and cost improvement.
+ Responsible to perform exploratory data analysis (EDA) from different data sources and perform correlation find out the best variables for Fault Detection (FD), Prediction and Run-to-Run modelling setup.
+ Responsible to setup ETL pipeline for data integration from different sources to databases.
+ Assist in implementing basic machine learning models (e.g., regression, classification) under guidance.
+ Monitor data quality and support model performance tracking in production.
+ Design and develop machine learning (ML) applications to implement in manufacturing process.
+ Build dashboards and reports to visualize process variables, ML outputs and business KPIs.
+ Document data flows, ML pipelines, and model metadata for transparency and reproducibility.
**Qualifications**
REQUIRED:
+ Bachelor's degree in Computer Science, Data Science, Engineering, Statistics, or a related field.
+ 0-2 years of experience in data analytics, data engineering, or machine learning.
+ Proficiency in SQL for data querying and manipulation.
+ Basic Python programming skills, particularly for data analysis (e.g., pandas, NumPy).
+ Understanding of machine learning fundamentals (e.g., supervised learning, model evaluation, overfitting).
PREFERRED:
+ Exposure to building or assisting in ML models using libraries like scikit-learn or TensorFlow.
+ Experience with data visualization tools (e.g., Spotfire, Power BI, Tableau).
+ Familiarity with version control tools such as Git.
+ Experience working in cloud environments (e.g., AWS, GCP, Azure), especially with ML tools like SageMaker or Vertex AI.
+ Exposure to ML lifecycle tools like MLflow, DVC, or Kubeflow.
+ Familiar with semiconductor manufacturing process, control system functions, manufacturing system (MES/RMS) and communication protocols such as SECS-GEM is an added advantage.
SKILLS:
+ Data preprocessing and feature engineering techniques.
+ Basic data pipeline development and ETL/ELT workflows.
+ Ability to interpret and visualize data insights.
+ Strong analytical and problem-solving mindset.
+ Attention to detail and a commitment to data accuracy and integrity.
+ Effective written and verbal communication.
+ Team collaboration and a proactive learning attitude.
**Additional Information**
Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.
Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at ( ) to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
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