Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
A long-term contract role for a data engineer who develops and optimizes databases on major RDBMS platforms (Sybase, DB2, with Snowflake/SingleStore exposure) and builds Python automation and data tooling on Unix/Linux systems.
Senior Data Engineer at Yeji Data Lab, a data & ML consulting firm, acting as a technical bridge to clients: designing, building and operating modern data platforms (Microsoft Fabric, Databricks/Snowflake, Spark, Kafka) with batch/streaming pipelines that power AI and analytics.
A developer independently designs and builds an energy market data platform in Calgary, creating React and Node.js interfaces for end-user and admin tasks, REST APIs and integrations, with backend support in C#/.NET and SQL Server/Azure SQL.
Production-support data engineer at TD Bank who monitors and troubleshoots production data pipelines, Databricks jobs and clusters, performs data-quality investigations and incident management, and supports releases. Core stack: Databricks/Spark, Azure Data Platform (ADLS, ADF, Azure SQL), Python/PySpark.
Senior, autonomous data engineer at Vanguard (Toronto, hybrid) designing and building enterprise data pipelines and models on AWS (S3, Glue, Redshift) and Databricks (PySpark, Delta Lake, Unity Catalog) for platforms like Advisor360, CRM, and ETF/mutual-fund data. Acts as a technical consultant, owns data quality, and mentors other engineers.
Senior data engineer at Aduna (telecom API infrastructure) who designs the company's lakehouse from scratch and builds/operates the batch and streaming pipelines ingesting API and operator usage data, with governance, quality SLOs, and BI/ML-ready datasets. Hands-on stack: SQL, Python, Spark, Databricks/Snowflake, Kafka, Airflow/Dagster, dbt, Terraform.
A Data Engineer role in Kimberley, Canada focused on building and maintaining big data infrastructure: designing scalable data pipelines with Spark, Hadoop, and Kafka, managing warehouses and data lakes on cloud platforms, and running ETL/ELT processes to support analytics and machine learning teams.
Designs, builds, and scales the core data infrastructure behind Function Health's imaging, analytics, and AI ecosystems, orchestrating compliant (HIPAA/GDPR) pipelines for DICOM imaging, biomarkers, and other health data. Core stack: Python, SQL, Airflow, AWS, Databricks/Spark.
A Data Engineer at Ampstek designs ETL pipelines and vector database infrastructure (pgvector, Azure AI Search, Redis), enforces data governance, and builds real-time event-driven flows that keep embeddings and indexes fresh for AI agents.
Designs, builds, and optimizes enterprise ETL/ELT data pipelines for reporting, analytics, machine learning, and AI, ensuring data quality and reliability. Core stack includes Python, PySpark, SQL, SQL Server, Oracle, and Azure Fabric Lakehouse/Warehouse with Medallion Architecture.
A senior data engineer who designs and builds RIVO's enterprise data platform from the ground up — architecting the warehouse/lakehouse, building CDC-based and low-latency ETL/ELT pipelines, and enabling analytics and data science workloads. Core stack includes Microsoft Fabric, Databricks, Snowflake, Azure Data Lake Storage, SQL, and Python, with cross-functional technical leadership.
Senior Database & ETL Engineer at Exalto Consulting in Bradford (hybrid, 2 days/week in office). The role owns and optimises a SQL Server and Teradata database estate, designs ETL/data integration pipelines to move data across platforms, and balances operational support with engineering work alongside data, apps, infrastructure and analytics teams.
A senior data engineer role at asset manager Insight Investment: design, build, and govern a scalable data platform centered on Snowflake, collaborating across business areas while upholding privacy/security standards and promoting advanced analytics, AI, and cloud-native practices.
Contract Data Engineer (6 months, inside IR35) on a long-term Central Government programme supporting a major Defence digital transformation for a technology consultancy. Day-to-day data pipeline/ETL work using Python, SQL, Databricks and AWS; hybrid role based from home with 3 days a week onsite in Malvern, requiring SC Clearance.
Lead Data Engineer at HMRC's Data Platform Services in Leeds: a hands-on leadership role building and operating large-scale data platforms — data ingestion, transformation, and pipelines — using AWS/Azure cloud tooling (Glue, Dataflow, Databricks), ETL/ELT, and DevOps practices. Requires SC security clearance; not open to visa sponsorship.
Data Engineer at One51, a Data, Analytics & AI consulting firm, designing and building scalable cloud data pipelines, ETL/ELT processes, integrations, and data platforms for client engagements using Microsoft Fabric, Azure, Databricks, and Snowflake.
Data Eminence is hiring an entry-level (0-2 years) Data Engineer to build and maintain ETL/ELT data pipelines, data warehouses/lakes, and cloud data infrastructure that support analytics. Day-to-day involves SQL optimization, Python scripting, data quality checks, and pipeline monitoring using PostgreSQL, MySQL, Git, Docker, and AWS/Azure/GCP.
Takes operational ownership of a brand-new enterprise data platform built on Microsoft Fabric and Azure at a large global organisation, keeping it stable, secure and performant so global Data Engineering, Analytics and AI teams can rely on it day to day.
BT-383 - Oracle Data Steward / Oracle Database Developer Location- Annapolis Junction Position Summary The Oracle Data Steward / Oracle Database Developer is responsible for ensuring the quality, integrity, governance,…
Senior Software Engineer at Grab on the Clickstream Intelligence (Scribe) or Customer Data Platform team, designing large-scale clickstream pipelines and real-time personalization/data onboarding services using Python, Go, or Scala with Kafka, Flink, and Spark. Onsite at Grab's Malaysia office, reporting to an Engineering Manager in Singapore.
We couldn't check your fit for this role — add a CV to your profile to see it next time.