162 Data Engineering Manager jobs in Singapore

Data Engineering Manager (Data Governance) - Data Cycling Centre

Data Engineering Manager (Data Governance) - Data Cycling Centre

1 week ago Be among the first 25 applicants

Responsibilities
About Data Cycling Center
AI is the new electricity and data is the energy for AI. Our core belief is that unstructured data contains the untapped wisdom of humanity — and by building the best AI-ready data infrastructure, we enable more meaningful, responsible, and creative uses of AI.
Data Cycling Center (DCC) is a Data Science team that is responsible for building the mid-platform data layer that powers AI development across all business lines of TikTok, including e-commerce, advertising, livestreaming, and emerging technologies. Our initiatives include:
- Scaled human-in-the-loop (HITL) data processing (including capability, methodology, E2E process, platform), delivering the most cost-effective results at benchmark quality levels that outperform leading tech peers.
- Built a highly automated end-to-end data pipeline for AI-generated content (AIGC) that supports strong model performance with minimal resource input.
- Develop a comprehensive content understanding and insight generation system, setting new benchmarks for marketing intelligence in the online ads ecosystem.
DCC aims to be the number 1 data service provider in the AI era. Our mission is to build the most effective (lossless and affordable) content understanding capabilities to fully satisfy AI needs of TikTok and to help the industry push the limit.
About the role
As a Lead Data Engineer, you will be responsible for building up both the team and the data pipeline. You will be working on cutting-edge challenges in the big data and AI industry which requires strong passion and capability of innovation. You will collaborate closely with cross-functional teams to understand business requirements and translate them into technical solutions. Additionally, you will provide technical guidance, mentorship, and support to junior team members.
Responsibilities:
- Architect efficient, scalable and reliable data pipelines and infrastructure for ingesting, processing, and transforming large volumes of data
- Define the technical strategy and roadmap for data engineering projects in alignment with business objectives, actively evaluate and bring in industry best practices and state-of-the-art technical approaches, and timely update the strategy according to the rapid change of the industry
- Build and lead a high-performing data engineering team with a clear strategy, providing business, technical, and personal development coaching
- Own and drive data engineering projects by leveraging both internal and cross-functional resources, setting meaningful and challenging targets, and achieving them with innovative approaches
- Foster a collaborative and inclusive team culture within and across teams, collaborate with data scientists
Why Join Us
- Shape the Future of AI
Work at the core of TikTok’s AI development, where your data powers cutting-edge applications across e-commerce, ads, livestream, and more.
- Massive Scale, Real-World Impact
Process petabytes of unstructured data to influence real products used by over a billion users worldwide.
- Global Team, Local Leadership
Join a diverse, high-performing team spread across Singapore, New York, San Jose, Shanghai, and more
- Build What Others Benchmark Against
Our innovations in HITL systems, AIGC pipelines, and content understanding set the industry standard - not just keep up with it.
- From Data to Strategy
We don’t just process data — we turn it into actionable insight that shapes product and business strategy across all TikTok verticals.
- Dynamic, Fast-Paced, Fun
Experience the energy of a high-impact team that moves fast, breaks new ground, and never stops learning.
Qualifications
Minimum Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, or related field.
- At least 5 years of experience in data engineering, with proven expertise in building scalable data pipelines and infrastructure.
- Experience with big data technologies such as Apache Spark, Hadoop, and Kafka along with strong proficiency in programming languages such as Python, SQL, and Java.
- Strong understanding of database systems, data warehousing, and distributed computing concepts.
- Proven experience in team management, with a strong track record of leading teams and collaboration with stakeholders at a regional or global level; proven track record of leading teams and delivering complex data engineering projects.
- Excellent communication and expression skills, logical thinking, teamwork and execution abilities. Independent thinking and capable of exploring and prioritising the core business needs.
- Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively.
About TikTok
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
Trust & Safety
TikTok recognises that keeping our platform safe for the TikTok communities is no ordinary job which can be both rewarding and psychologically demanding and emotionally taxing for some. This is why we are sharing the potential hazards, risks and implications in this unique line of work from the start, so our candidates are well informed before joining.
We are committed to the wellbeing of all our employees and promise to provide comprehensive and evidence-based programs, to promote and support physical and mental wellbeing throughout each employee's journey with us. We believe that wellbeing is a relationship and that everyone has a part to play, so we work in collaboration and consultation with our employees and across our functions in order to ensure a truly person-centred, innovative and integrated approach.

Seniority level

• Seniority level

  Executive

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Technology, Information and Internet

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Senior Manager - Enterprise Data & AI Transformation

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VP, Data Business Analyst, Data Strategy Group

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Key Position Summary:

We are seeking a highly skilled expert data engineer to lead the development and maintenance of large-scale data processing systems. As a critical team member, you will be responsible for designing and building scalable architectures using industry-leading tools.

• Design and develop cutting-edge data processing architectures leveraging Hadoop ecosystem tools such as HDFS, Hive, Impala, Oozie, Sqoop, and Spark on YARN.
• Develop migration strategies to move data from existing storage systems to cloud-based solutions like ADLS, S3, or GCS.
• Implement robust data reconciliation methods to ensure accuracy and consistency across source and target systems.
• Design and implement automated test frameworks for ETL pipelines to guarantee data quality and integrity.

• Strong understanding of Hadoop ecosystem tools and technologies.
• Experience in designing and implementing data migration strategies.
• Knowledge of Databricks architecture and its components such as Workspaces, Unity Catalog, Clusters, Delta Lake, and Workflows.
• Ability to work closely with business stakeholders to understand data requirements and design effective data solutions.
• Strong documentation and governance mindset.

• Delta Lake: ACID transactions, time travel, schema evolution, and Z-ordering.
• Unity Catalog: Catalog/schema/table design, access control, lineage, and tags.
• Workflows/Jobs: Orchestration, job clusters vs. all-purpose clusters.
• SQL Endpoints / Databricks SQL: Designing downstream consumption models.
• Performance Tuning: Partitioning, caching, adaptive query execution (AQE), and photon runtime.

• Excellent communication and problem-solving skills.
• Flexibility and adaptability in a fast-paced environment.

We are seeking a talented individual to join our team in Singapore. As a full-time Database Developer, you will play a crucial role in developing and maintaining robust database systems, ensuring seamless operation of business-critical applications.

• Design, implement, and optimise database solutions to support diverse range of software applications.
• Collaborate with cross-functional teams to understand and address complex business requirements.
• Develop and maintain efficient SQL queries, stored procedures, and other database objects.
• Perform database performance tuning, troubleshooting, and issue resolution.
• Participate in the planning and implementation of database migrations, upgrades, and backups.
• Contribute to the continuous improvement of database architecture and development processes.

• Bachelor's degree in Computer Science, Information Technology, or related field.
• Minimum 3 years of experience as a Software Engineer or Database Developer.
• Proficiency in SQL, database design, and optimisation techniques.
• Familiarity with database management systems such as MySQL, PostgreSQL, or Microsoft SQL Server.
• Experience with agile software development methodologies.
• Strong problem-solving and analytical skills.
• Excellent communication and teamwork abilities.

About us:

A leading provider of information and communication technology solutions in the region. With a strong focus on innovation and customer success, we have established a reputation for delivering cutting-edge technologies and exceptional service.

Overview: We are seeking an experienced Data Architect Director to join our organization. As a key member of our team, you will be responsible for designing and implementing data strategies that align with our global data governance frameworks and business objectives.

Responsibilities:

• Create and implement data architectures that enable efficient data integration from multiple sources into a unified enterprise data lake.
• Partner with business stakeholders and technology teams to gather data requirements specific to banking products, transactions, customers, reporting, and analytics.
• Design scalable data models that reflect core banking operations, risk management, compliance, financial reporting, and analytics needs.
• Collaborate with development teams on physical data model deployment and performance optimization for large financial datasets.
• Ensure data models adhere to data governance, data quality, and metadata management standards across banking domains.
• Contribute to data integration strategies to enable seamless access to core banking systems, regulatory systems, and analytical platforms.

Qualifications:

• Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field. Master's degree preferred.
• Over 15 years of experience in data architecture, data modeling, or data management, preferably in the banking or financial services industry.
• Deep knowledge of data governance (DAMA-DMBOK), data modeling, and metadata management.
• Deep expertise in logical and physical data modeling for core banking, risk, compliance, and financial reporting domains and various analytics use cases.
• Proficient in data modeling tools (e.g., Erwin, PowerDesigner, or similar).
• Solid understanding of relational and dimensional modeling, data warehousing, and data integration techniques.

We offer a competitive compensation package and opportunities for professional growth and development.

We are committed to delivering innovative solutions that meet the evolving needs of our clients. If you are passionate about data-driven decision-making and have a strong track record of success in data architecture, we encourage you to apply for this exciting opportunity.

Join to apply for the Project Manager, Data Architecture role at Hyundai Motor Group Innovation Center Singapore (HMGICS)

2 days ago Be among the first 25 applicants

Join to apply for the Project Manager, Data Architecture role at Hyundai Motor Group Innovation Center Singapore (HMGICS)

This position bridge between business operations and IT, playing a crucial role in enabling data-driven decision-making and supporting the organization's overall data strategy.

What To Expect

• Connect and collaborate with teams from other regions of the world to share best practices and global standards definitions.
• Interface with several corporate areas and preparation of technical documents, presentations, and reports.
• Providing a high-level, abstract representation of an organization's data requirements
• Design and implement comprehensive data management strategies aligned with business goals
• Domain-oriented data architecture (DODA) structures data around business domains, enabling
• Implement data governance policies and data quality control measures
• Develop and maintain enterprise data architecture solutions, including data warehouses and data lakes
• Ensure data security and compliance with relevant regulations
• Create data models and strategies to organize and store data entities efficiently
• Assess existing databases and data architectures for weaknesses

What You'll Bring

• Bachelor's Degree in Computer Science, Information Technology or relevant disciplines
• At least 13 years of experience in data architect and technologies
• Proficiency in programming languages such as Python, SQL, Java, and C++
• Deep understanding of database management systems and data modeling techniques
• Experience with Big Data technologies, cloud computing platforms, and data analytics tools
• Strong project management and time management abilities
• Excellent communication skills to collaborate with various stakeholders
• Develop data pipeline processes to move data from OLTP to OLAP systems

• Seniority level Entry level

• Employment type Full-time

• Job function Project Management and Information Technology
• Industries Motor Vehicle Manufacturing

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We are seeking a skilled Data Solutions Architect to design, build, and maintain scalable data pipelines and infrastructure.

• Create robust data platforms using AWS services such as S3, Glue, Redshift, Lambda, IAM, CloudFormation/Terraform.
• Implement data ingestion from multiple sources.
• Develop and deploy efficient data processing solutions using AWS Lambda, EMR, Kinesis, Step Functions.

• Bachelor's or Master's degree in Computer Science, Data Engineering, or related field.
• 2 to 4 years of experience in Data Engineering with strong exposure to AWS Cloud.
• Strong hands-on expertise with AWS services such as S3, Glue, Redshift, Lambda, IAM, CloudFormation/Terraform.
• Experience with data pipeline orchestration (Airflow, Step Functions).
• Proficiency in Python, SQL, PySpark.
• Strong knowledge of data warehousing, data lakes, and data management practices.
• Familiarity with Snowflake, Databricks (desired).
• Strong understanding of DevOps practices, CI/CD pipelines.
• Excellent problem-solving skills.

This role involves collaboration with cross-functional teams to enable analytics initiatives and ensure data quality, governance, and security.

• Connect and collaborate with teams from other regions of the world to share best practices and global standards definitions.
• Interface with several corporate areas and preparation of technical documents, presentations, and reports.

• Providing a high-level, abstract representation of an organization's data requirements
• Design and implement comprehensive data management strategies aligned with business goals
• Domain-oriented data architecture (DODA) structures data around business domains, enabling
• Implement data governance policies and data quality control measures
• Develop and maintain enterprise data architecture solutions, including data warehouses and data lakes
• Ensure data security and compliance with relevant regulations
• Create data models and strategies to organize and store data entities efficiently
• Assess existing databases and data architectures for weaknesses

• Bachelor's Degree in Computer Science, Information Technology or relevant disciplines
• At least 10 years of experience in data architect and technologies
• Proficiency in programming languages such as Python, SQL, Java, and C++
• Deep understanding of database management systems and data modeling techniques
• Experience with Big Data technologies, cloud computing platforms, and data analytics tools
• Strong project management and time management abilities
• Excellent communication skills to collaborate with various stakeholders
• Develop data pipeline processes to move data from OLTP to OLAP systems

We are seeking a highly skilled Big Data Engineer to join our team.

This is a critical position that will play a key role in shaping the architecture of our recommendation system.

The successful candidate will be responsible for designing and implementing a scalable, stable, and high-performance storage and computing systems.

They will also be required to troubleshoot production issues and develop tools to ensure the overall stability of the system.

• Main Responsibilities:
• Design and implement offline data architecture for large-scale recommendation systems
• Design and implement flexible, scalable, stable, and high-performance storage and computing systems
• Troubleshoot production system issues and design necessary mechanisms to ensure system stability
• Builddistributed systems such as storage and computing to provide reliable infrastructure for massive data and large-scale business systems
• Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software
• Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets
• Visualize, interpret, and report data findings and create dynamic data reports

To be successful in this role, you will need to have the following qualifications:

• Bachelor's degree or above in Computer Science or related field with at least 3 years of experience
• Familiarity with open-source frameworks such as Hadoop, Hive, Flink, Spark, Kafka, HBase, Redis, RocksDB, ElasticSearch
• Experience in programming languages such as C, C++, Java, or Golang
• Effective communication skills and a sense of ownership and drive
• Peta Byte level data processing experience is a plus

We are committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives.

We believe in celebrating diversity and creating an environment that reflects the many communities we reach.

Our platform connects people from across the globe, and so does our workplace.

We are passionate about inspiring creativity and bringing joy to our users.

Join to apply for the Project Manager, Data Architecture role at Hyundai Motor Group Innovation Center Singapore (HMGICS)

2 days ago Be among the first 25 applicants

Join to apply for the Project Manager, Data Architecture role at Hyundai Motor Group Innovation Center Singapore (HMGICS)

This position bridge between business operations and IT, playing a crucial role in enabling data-driven decision-making and supporting the organization's overall data strategy.

What To Expect

• Connect and collaborate with teams from other regions of the world to share best practices and global standards definitions.
• Interface with several corporate areas and preparation of technical documents, presentations, and reports.
• Providing a high-level, abstract representation of an organization's data requirements
• Design and implement comprehensive data management strategies aligned with business goals
• Domain-oriented data architecture (DODA) structures data around business domains, enabling
• Implement data governance policies and data quality control measures
• Develop and maintain enterprise data architecture solutions, including data warehouses and data lakes
• Ensure data security and compliance with relevant regulations
• Create data models and strategies to organize and store data entities efficiently
• Assess existing databases and data architectures for weaknesses

What You'll Bring

• Bachelor's Degree in Computer Science, Information Technology or relevant disciplines
• At least 13 years of experience in data architect and technologies
• Proficiency in programming languages such as Python, SQL, Java, and C++
• Deep understanding of database management systems and data modeling techniques
• Experience with Big Data technologies, cloud computing platforms, and data analytics tools
• Strong project management and time management abilities
• Excellent communication skills to collaborate with various stakeholders
• Develop data pipeline processes to move data from OLTP to OLAP systems

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Project Management and Information Technology

• Industries

  Motor Vehicle Manufacturing

Referrals increase your chances of interviewing at Hyundai Motor Group Innovation Center Singapore (HMGICS) by 2x

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Strategy Project Manager - Regional Operations

Project Manager, Regional Brand & Growth Marketing

Regional Project Manager (Managed multi-million projects)

AVP/VP, Project Management Officer, COO's Office

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