104 Data Engineering Manager jobs in Singapore

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 Executive

• Employment type Full-time

• Job function Information Technology
• Industries Technology, Information and Internet

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About Our Data Engineering Opportunity

We are seeking a skilled data engineer to work with a well-known telecommunications company in Singapore.

• Develop and deploy data architectures optimized for AI, ensuring seamless access to information from diverse sources.
• Create, maintain, and manage a data virtualization layer to reduce data movement, enhance transparency, and strengthen control mechanisms.
• Work closely with platform engineering, analytics, and governance teams to produce secure, high-quality, and thoroughly documented data deliverables.

• Bachelor's degree in computer science or a related field.
• Solid background in managing end-to-end data engineering projects, from design to delivery.
• Expert user of Spark, Databricks, and other large-scale data processing solutions.
• Well-versed in real-time streaming tools such as Apache Kafka, Apache Flink, and Azure Event Hub.
• Practical experience with modern data storage approaches, including data lakes and lakehouses built on Hadoop, Delta Lake, Iceberg, or Microsoft OneLake.
• Comfortable working with data virtualization platforms to connect and manage information from multiple, varied sources.
• Strong coding skills in Python and SQL for data transformation, automation, and analysis.
• Familiar with workflow orchestration tools (like Apache Airflow) and DevOps practices, including CI/CD pipelines, containerization (Docker), and Kubernetes.

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Direct message the job poster from Charterhouse Asia

A leading financial services firm is looking to hire a VP of Data Strategy & Architecture to join their dynamic data function. This leadership role will play a key part in designing robust data models that power core banking functions, regulatory reporting, risk analytics and broader strategic initiatives.

This is an exciting opportunity for a seasoned data professional who thrives in fast-paced, complex environments and is passionate about building scalable data architecture that drives meaningful business outcomes.

Responsibilities:

• Partner with business and technology stakeholders to gather data requirements related to banking products, customer transactions, reporting, and analytics.
• Design and maintain logical and physical data models that align with key business use cases.
• Convert complex business requirements into scalable, efficient data structures that support both operations and analytics.
• Lead the development and continuous improvement of data marts, data warehouses, and integration layers.
• Collaborate with engineering teams to ensure optimal deployment and performance of physical data models.
• Align data architecture with governance, quality, and metadata standards.
• Produce thorough documentation, including data dictionaries, data flow diagrams, and architecture designs to support regulatory, audit, and business needs.
• Contribute to data lineage, metadata, and data quality initiatives to enhance trust in enterprise data.

Requirements:

• Degree in Computer Science, Information Systems, Data Science, or related field (Master’s preferred).
• 10+ years of experience in data architecture, modeling, or data management, ideally within the financial services or banking sector.
• Solid understanding of data governance principles (e.g. DAMA-DMBOK).
• Proven expertise in building data models for banking, risk, compliance, and finance domains.
• Skilled in data modeling tools such as Erwin, PowerDesigner, or similar platforms.
• Strong SQL capabilities with hands-on experience working with large-scale financial data sets.
• Deep understanding of relational and dimensional modeling, as well as data warehousing and integration strategies.
• Familiarity with APAC financial regulatory frameworks is a plus.
• Strong interpersonal and communication skills, with the ability to engage and align with both technical and business stakeholders.

For a confidential discussion, please contact Jackie Panopio at +65 6950 0369 or via email at

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology
• Industries Financial Services, Data Infrastructure and Analytics, and IT System Data Services

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Get notified about new Vice President of Architecture jobs in Singapore, Singapore .

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We are seeking a highly skilled Senior Data Architecture Lead to join our data team. The ideal candidate will play a key role in designing, developing, and maintaining scalable big data solutions while providing technical leadership.

• This role will also support strategic data governance initiatives, ensuring data integrity, privacy, and accessibility across the organization.

Key Responsibilities:

Lead architecture discussions, including the creation and review of entity relationship diagrams (ERDs) and overall system design.

Collaborate closely with data engineers, analysts, and cross-functional engineering teams to meet evolving data needs.

• Deploy and manage infrastructure using Terraform and infrastructure-as-code tools.
• Develop and maintain CI/CD pipelines for deploying data applications and services.
• Leverage strong experience in AWS services, such as S3, Glue, Lambda, RDS, and Lake Formation, to support scalable and secure cloud-based data platforms.
• Handle both batch and real-time data processing effectively.
• Apply best practices in data modeling and support data privacy and data protection initiatives.
• Implement and manage data encryption and hashing techniques to secure sensitive information.
• Ensure adherence to software engineering best practices, including version control, automated testing, and deployment standards.
• Lead performance tuning and troubleshooting for data applications and platforms.

Besides these core responsibilities, we look forward to discussing your qualifications further. If you're passionate about working on high-impact data projects, have excellent technical skills, and enjoy collaborating with talented individuals, please get in touch!

• 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 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

Job Description:

The Data Engineering team is responsible for designing, developing, and maintaining scalable and secure data pipelines and architectures to support healthcare analytics and digital health solutions.

As a Data Engineer, you will collaborate with cross-functional teams to understand data needs and translate them into robust data engineering solutions.

Key Responsibilities include leading the design, development, and maintenance of data pipelines and architectures, managing and optimizing data ingestion, transformation, and storage processes, ensuring data quality, integrity, and governance across all data platforms, driving the adoption of best practices in data engineering, mentoring and guiding junior data engineers, and working closely with data scientists, analysts, and application developers to enable data-driven decision-making.

Required Skills and Qualifications:

• Bachelor's degree (or above) in Computer Science, Data Engineering, Information Systems, or a related field
• At least 8 years of experience in data engineering, with a strong background in building and managing data pipelines and architectures
• Hands-on experience with cloud-based data platforms (AWS preferred or Azure, or GCP)
• Proficiency in data pipeline tools (e.g. Apache Airflow, Kafka, Spark)
• Strong SQL skills and experience with relational and NoSQL databases
• Strong Python programming skills
• Experience with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery)
• Familiarity with data governance, security, and compliance in healthcare or regulated environments
• Plus: Experience with healthcare data standards (e.g., FHIR, HL7) and DevOps practices
• Leadership: Ability to lead data engineering initiatives, coordinate with stakeholders, and manage project timelines and deliverables
• Good communication skills, both written and verbal

A Data Architectural Specialist

We seek a skilled Data Architectural Specialist to oversee the design, development, and maintenance of our data pipelines and ETL processes. This role involves collaborating with cross-functional teams on data engineering initiatives and ensuring seamless integration between various data systems and applications.

• Key Responsibilities:
• Design and implement data models using tools like ER Studio
• Develop and maintain data warehouses, data lakes, and operational data stores
• Implement master data management practices and data governance standards
• Technical Requirements:
• Proficiency in Python, VQL, SQL
• Experience with AWS services (Glue, Athena, S3, RDS)
• Knowledge of data virtualization concepts and tools (Denodo)
• Collaboration and Communication:
• Partner with Product Managers, Business Analysts, Data Analysts, Solution Architects, UX Designers
• Provide technical guidance and support for data-related queries

This senior-level role involves overseeing the design and implementation of complex data pipelines and systems. The ideal candidate will have a solid understanding of computer science and software engineering principles, with experience in large-scale data processing and analytics.

The selected individual will work closely with cross-functional teams to identify business requirements and develop tailored solutions using Python, SQL, and Apache Spark. A strong foundation in data governance policies and procedures is also essential for this position.

• A bachelor's degree in computer science, engineering, or a related field.
• 3-5 years of experience in data development or data platform development.
• Proven ability to lead the development of scalable data pipelines and systems.
• Familiarity with big data processing concepts and tools such as Hadoop, Spark, and NoSQL databases.
• Experience with cloud-based platforms like AWS, Azure, or GCP.

We offer a dynamic and collaborative work environment where you can grow professionally. Our benefits package includes comprehensive medical, dental, and vision insurance, as well as opportunities for advancement and skill development.

Quinnox Solutions Pte Ltd values diversity and equality in the workplace. We encourage applications from qualified candidates who share our commitment to delivering exceptional results and making a positive impact on our clients.

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.

(Project Leadership)

• 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.

(Data Architecture)

• 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 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

Thanks,

Saghana Sithara