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Data Engineer
GCP Data Engineer in Sydney designing, building, and optimizing scalable batch and streaming data pipelines and platforms on Google Cloud Platform. Core stack includes BigQuery, Python, SQL, dbt, Cloud Composer, and GCP DevOps tooling, with a focus on legacy/on-prem to GCP migrations.
Data Engineer - Azure Databricks
Data Engineer at AC3, an Australian IT services company, working with a customer migrating to Azure: building Databricks Medallion-architecture data pipelines, models, and ETL/ELT workflows using SQL, Python, ADF, and Azure data services. Hybrid role, 2 days/week in Sydney CBD, paid a daily rate.
Data Scientist - Future Opportunity / Talent Pool
Talent-pool posting (not actively hiring) for a Semi-Senior Data Scientist in Bogotá who builds ingestion pipelines, BigQuery warehouse layers, data-quality controls, and interactive dashboards for cross-channel media performance analytics. Core stack: GCP/BigQuery, Airflow, SQL, Python, Looker, GA4, and ad platform APIs.
Reporting and Analytics Engineer
Builds and maintains reports, dashboards and end-user visualisations for ARAG UK's Information Management team in Bristol, partnering with data engineers and business stakeholders. Core stack is SQL/TSQL, SSRS and Power BI, with Azure DevOps source control and Kimball-methodology data warehouse work, at an insurance and legal services provider.
Senior Analytics Engineer (London)
Senior Analytics Engineer at Fresha in London who models data and builds/maintains ELT pipelines and dbt models to deliver clean datasets for commercial and growth teams, supporting budgeting, revenue forecasting and product decisions. Core stack: SQL, dbt, data warehousing.
Data QA Engineer
Data QA Engineer at Sagacity, a UK data-intelligence firm: a hands-on, client-facing role testing ETL/ELT pipelines, data warehouses and Databricks lakehouse platforms — writing SQL to profile, reconcile and validate data quality end to end. Permanent, hybrid role based in London (min. 2 days/week in office).
Data Visualization & Analytics Engineer | Power BI & SQL
Join ARAG UK's Information Management Team in Bristol to design and build end-user reports, dashboards and ad-hoc analyses using SQL, SSRS and Power BI, supporting datasets for reporting and data warehouse initiatives at an insurance and legal services provider.
Data Platform Engineer
Design, build and maintain scalable data platforms supporting customer engagement and business decisions, integrating CRM systems, customer data platforms and data warehouses. Core stack: SQL and data modelling, Informatica MDM/Customer 360, ETL/ELT, REST APIs, Java or Python, CI/CD and cloud data platforms.
Staff Engineer - AI Data Engineering
Prudential's life insurance business in Singapore seeks a senior Staff Engineer / AI Data Engineering Lead with 15+ years' experience to architect and build enterprise-scale, AI-ready data platforms (lakes, lakehouse, streaming, RAG/vector search) powering ML, GenAI and analytics, using Azure, Databricks, Snowflake, Python, SQL, Spark, Kafka, Airflow and dbt.
Senior Data Engineer - Corporate Banking (Azure Databricks)
Senior data engineer or data SME building data pipelines, warehousing, and governance for a corporate banking analytics team. Day-to-day is hands-on Azure Databricks, SQL, and Python work with end-to-end SDLC delivery across Trade Finance, Lending, and Payments domains alongside business stakeholders.
Data Engineer - Snowflake/Databricks
Remote (hiring in Brazil) data engineer role: build and maintain scalable data pipelines on Snowflake and AWS, process and transform data with Databricks, and optimize workflows. Core stack is Snowflake, Databricks, SQL, AWS, and Python.
Sr. Integration Engineer
Senior Integration Engineer at Uber Freight designs, deploys, and debugs system integrations (EDI/API) connecting internal and external partner systems, building ETL pipelines, data warehouses, and SQL reports/dashboards. Requires an MS degree, 5 years' experience (incl. R or Python and transportation logistics), and 3 years' team/vendor management; telecommute anywhere in the U.S.
Account Executive
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just…
Senior Director, Enterprise Applications
About Stoke: Stoke Therapeutics (Nasdaq: STOK), is a biotechnology company dedicated to restoring protein expression by harnessing the body’s potential with RNA medicine. Using Stoke’s proprietary TANGO (Targeted…
Sr. Digital Tools Engineer, Supply Chain
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st…
Business Analyst
Business Analyst (Internal Systems & Data) A permanent role owning business analysis across internal systems, process improvement and data projects, including a new data warehouse build, based in Belfast on a hybrid…
Senior Data Analyst
Senior Data Analyst at a digital bank: analyze customer journeys and business processes, build business cases and KPIs, and design SQL views, aggregations, and semantic layers in the data warehouse to power self-serve analytics, partnering with product, marketing, finance, and tech teams.
Senior Software Engineer, Data Engineering
Senior Data Engineer at DoorDash building and scaling large-scale data pipelines, data models, and Data Lake/Warehouse architecture that power reporting, product analytics, marketing, and financial reporting. Core stack: Python/Java, Airflow, Spark, Kafka/Flink, Snowflake/Redshift on AWS/GCP. Hybrid role requiring presence in SF, Sunnyvale, or Seattle.
Software Engineer, Data Engineering
DoorDash is hiring a Data Engineering Software Engineer to build and scale large-volume data pipelines, models, and warehouse/lake infrastructure that power reporting, analytics, marketing, and financial decision-making. The stack centers on Python/Java, SQL, Spark, Kafka/Flink, Airflow, Snowflake/Redshift/PostgreSQL on AWS/GCP, with proficiency in AI coding tools expected.