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The Lead Data Engineer will manage healthcare payer data pipelines, including ingesting and standardizing claims data and maintaining Snowflake infrastructure. The role requires extensive experience with Python, Dagster, and SQL to collaborate with finance and account management teams.
Designs, maintains, and optimizes data pipelines for healthcare claims/membership data in Snowflake, ensuring data quality and timeliness while mentoring engineers and collaborating with cross-functional teams.
Builds and operates real-time telemetry pipelines for energy storage systems, ensuring reliable data for analytics and applications; designs novel data solutions and leads technical documentation.
Build and optimize scalable data pipelines for a regulated online casino platform, using Python, SQL, and cloud warehouses like Snowflake or Redshift.
Senior Data Engineer on a 3-4 month contract in London, designing and building data pipelines end-to-end from messy source data to production-grade outputs using Python, orchestration tools (Dagster/Airflow/Prefect), AWS/S3/Parquet, and AI coding assistants.
Data Engineer role at a UK energy-sector company, responsible for designing scalable data pipelines, building ETL/ELT processes, and developing data models using SQL, Python, and open-source frameworks like Spark, Kafka, Airflow, or Dagster.
Creates data products for political clients, collects data via APIs, maintains data pipelines (dbt/SQL), ensures data quality, builds dashboards, and performs ad-hoc analyses. Core technologies: Python, SQL, PostgreSQL, dbt, Dagster, Ansible.
An internship assisting senior engineers in executing small-to-medium data engineering projects, contributing to APIs, scripts, and bug fixes while learning fintech-focused data platforms (BigQuery, Airflow) and DevOps tools (Kubernetes, Terraform) on Google Cloud.
Builds and maintains data pipelines, governance, and analytics layers to enable predictive/prescriptive modeling in a FinTech context, using dbt, cloud warehouses, and BI tools.
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