Tech jobs
Job listings
Product Manager, Data Programme (MOE)
Product Manager at GovTech Singapore driving data products and capabilities for the Ministry of Education (MOE): defining product vision, prioritising use cases, and coordinating delivery across governance, platform, and data-owning teams. Work spans tracks like Student Hub data, WOG-MOE data architecture, metadata/governance, and data access controls.
Senior / Data Scientist (Model Training and Evaluation) , Giant Robots Labs
Data scientist at Singapore's Government Technology Agency building an in-house capability to evaluate and post-train AI models for government use. Day to day: design evaluation suites, curate training data, run SFT/LoRA/DPO experiments, and operate GPU inference infrastructure using Python, PyTorch, Hugging Face and vLLM.
Senior Data Engineer, Civil Service College
GovTech Singapore is hiring a Senior Data Engineer to be forward-deployed to Civil Service College, defining data architecture and standards, building and optimising data pipelines, governing data quality, and leading a team of data engineers. Core stack: AWS (CloudWatch, Glue), data lakes/warehouses, REST APIs, with AI applied to the data platform. Starts as a 2-year direct contract.
Senior Manager, Data Governance
Senior Manager of Data Governance at Singapore's GovTech: translates whole-of-government data requirements into policies, SOPs and guidance; oversees governance implementation, metadata and data quality; advises teams, manages risks and a small team. Core focus is data management concepts (metadata, data quality, data sharing, personal data protection) plus AI productivity tools.
Senior Service Designer, Data Programme
Senior service designer at Singapore's GovTech leading service design across its Data Programme's four data-platform initiatives — mapping end-to-end journeys for agencies and public officers, designing human-AI handoffs, governance touchpoints, and reusable service patterns for Whole-of-Government data.
Senior Product Manager, Data Programme
Senior product manager at Singapore's GovTech building 'AI context layers' — shared definitions, business rules and provenance for government data so AI and analytics tools interpret it correctly. A zero-to-one role: set strategy, pilot agency-level context layers, and build a cross-agency shared layer with engineers, data teams and agency stakeholders.
Engineering Manager - Data Engineering & Insights
Lead a team building real-time and batch data pipelines, semantic layers, and AI-driven insights for restaurant merchants using React, TypeScript, Java, and modern data tools like dbt and ClickHouse.
Engineering Manager - Data Engineering & Insights
Lead a team building real-time and batch data pipelines, semantic layers, and embedded analytics for a platform powering 80% of US online food orders, using tools like SQLMesh, dbt, and React.
Business Operations Associate
Who we are At Namaa, we build and operate tech-enabled urban infrastructure that gives consumers fast, reliable access to meals, groceries, and everyday essentials. Traditional retail models, built around…
Data Engineer (Intermediate) (Python, BigQuery, SQL) (Hybrid - Cape Town)
Intermediate data engineer maintaining and improving a GCP/BigQuery data platform for a digital solutions company serving travel and hospitality brands — building ETL/ELT pipelines, writing and optimising SQL, creating reporting dashboards, and supporting RAG/AI integrations. Hybrid role based in Cape Town.
Data Engineer
This role is within newly established Australian Government agency delivering work of national significance. They are building a modern, values-driven organisation with a strong focus on transparent, timely and…
Enterprise Account Manager - Data Management Solutions
Win, grow, and keep enterprise and government customers while helping them get more value from their data. We are looking for a strategic, field-driven Enterprise Account Manager to lead customer acquisition, manage…
Senior Cybersecurity Data Engineer - Hybrid, Flexible Hours
ITDS Polska is hiring a Senior Cybersecurity Data Engineer in Kraków (hybrid, flexible hours) to build and maintain data pipelines and ETL workflows supporting a cybersecurity risk-quantification model for a financial-industry client. Core stack: Azure (Data Factory, Databricks, Synapse), Python, SQL, Spark, and Power BI.
Senior Data Engineer - AWS & Databricks for GenAI
Senior Data Engineer building and optimizing cloud data platforms on AWS with Databricks (expanding to GCP/Azure as needed) to power analytics, AI, and data products. Works with data scientists, ML engineers, and business stakeholders on lakehouse architecture, data governance, and scalability.
Senior Cybersecurity Data Engineer – Azure
Senior data engineer supporting a financial client's Cybersecurity Risk Quantification team in Kraków (hybrid: min. 6 office days/month), building Azure-based data pipelines and ETL workflows that measure how control improvements reduce risk. Requires 5+ years in data engineering with the Azure stack, Python, SQL, and Spark.
Senior Data Engineer - BigData Development
Senior Data Engineer building production-grade data pipelines, transformations, and analysis-ready datasets for observability and embedded analytics on a project for a leading automotive client. Core work spans Python, SQL, cloud data solutions, orchestration, and processing high-volume logs, events, and telemetry.
AI Data Engineer (R-20104)
Data Engineer II on Dun & Bradstreet's AI & Ingestion team, designing and operating production data-ingestion pipelines that use LLMs, RAG and agentic workflows to collect, extract, classify and match business data. Core stack: Python, SQL, and GCP (BigQuery, Dataflow, Airflow, Vertex AI).
AI Data Engineer (R-20104)
Data Engineer II in Dun & Bradstreet's AI & Ingestion team designs, builds and runs production data and AI pipelines — ingestion from web/API/file sources, LLM-powered extraction, classification and entity matching, plus RAG/agentic workflows — on GCP. Core stack: Python, SQL, BigQuery, Dataflow, Airflow, Vertex AI.
Senior Data Engineer - AWS / Databricks
Senior Data Engineer representing Dateonic on a long-term client project, designing and optimising cloud data platforms on AWS and Databricks (Spark, Delta Lake) — building batch/streaming pipelines, medallion lakehouse layers, governance, and ML/GenAI-ready datasets, with growing multi-cloud (GCP/Azure) work.