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.
Lead a team to build and optimize cloud-native data pipelines on AWS/Databricks, enabling AI-driven analytics and ML for global financial markets.
Leads cloud-native data platform engineering at Sky, designing scalable architectures and mentoring teams to align with data strategy and platform roadmap.
Lead a team of six engineers to build and scale domain datasets (Customer, Commercial, Operations) on BigQuery/GCP, modernizing pipelines and enabling AI-driven analytics for THG’s global ecommerce brands.
Lead AI Data Engineer builds and optimizes RAG pipelines, fine-tunes LLMs, and designs secure data ingestion systems for a proptech company serving insurance and banking clients.
Lead a team of six data engineers to design and build scalable domain datasets on BigQuery/GCP, unifying customer, commercial and operations data for analytics and AI-driven personalization.
Lead a team of data engineers to design and deploy cloud-native data pipelines and warehouses, migrating IAG Cargo from on-premise to AWS and Snowflake.
Leads a team to design and deploy scalable, cloud-native data pipelines for a logistics company’s data modernization program.
Lead a team to design and build scalable BigQuery and GCP data pipelines that power analytics and AI-driven personalization across THG’s business units.
Lead a team to build and maintain data platforms for public-sector clients, implementing pipelines and storage to make them data-led.
Lead AI/ML Data Engineer builds and deploys machine-learning features and data pipelines for Mastercard’s products, using Python, Spark, and cloud platforms.
Lead a data engineering team to build and scale cloud-based data pipelines and models for a B2B fintech firm, using Python, SQL, and Azure.
Lead the design, build and operation of a large-scale AWS data platform using Redshift, Glue, Lambda and Kinesis to deliver reliable analytics and insights for the UK rail industry.
Lead the design and delivery of a scalable data platform, set standards for data architecture and modeling, and mentor engineers while driving technical decisions.
Lead a cloud data platform team, designing scalable pipelines and warehouses in AWS, setting engineering standards, and mentoring engineers to deliver high-performance data solutions.
Leads the design and development of scalable AI-driven data pipelines using tools like Apache Spark and Azure Data Factory, while mentoring junior engineers and collaborating with cross-functional teams.
Lead a team to design and build scalable Azure-based data pipelines in Python and SQL, set engineering standards, and mentor engineers while owning the data platform’s technical direction.
Lead a team building production-grade AI/ML systems and data pipelines for clients, focusing on clean code, scalable architectures, and end-to-end ownership using Python/Scala and big-data stacks like Spark and Snowflake.
Leads a team to design, build, and optimize data pipelines that transform raw data into insights using SQL, Python, ETL tools, and cloud data services.
Lead a team building and deploying enterprise-scale ML pipelines and data platforms for JPMorgan Chase, using AWS, PySpark, TensorFlow, and responsible AI practices.
Lead a team to design and build scalable, secure cloud data platforms on Azure and/or GCP, using Spark, Databricks, and managed services while coaching engineers and driving DataOps/FinOps practices.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
