Senior Data Engineer

A fast-moving, product-focused team is looking for a Data Engineer who knows how to move, shape, and scale data properly. This role sits close to engineering, analytics, and product, meaning your work directly powers decision-making and data-driven products. You’ll be responsible for building robust ETL pipelines, working deep within AWS, and using Python to turn raw data into reliable datasets that teams across the business can trust. What You’ll Be Doing: • Design, build, and maintain scalable ETL / ELT pipelines • Ingest data from multiple sources including APIs, databases, files, and streaming platforms • Optimize pipelines for performance, reliability, and cost efficiency • Work closely with stakeholders to translate business needs into scalable data solutions • Ensure data quality, monitoring, and logging are embedded within pipelines • Support analytics, reporting, and downstream data products Core Tech Stack: • AWS: S3, Glue, Lambda, Redshift, Athena, EMR (or similar) • Python: Data processing, orchestration, automation • ETL / ELT: Glue, Airflow, CDK, dbt, or custom frameworks • Databases: SQL-based systems (Redshift, Postgres, Snowflake) What We’re Looking For: • Strong hands-on experience working as a Data Engineer • Solid Python development for data pipelines and automation • Real-world experience building and maintaining ETL pipelines • Strong SQL skills and data modelling fundamentals • Comfortable working in a cloud-first AWS environment Nice to Have: • Experience working with streaming data (Kafka or Kinesis) • Familiarity with CI/CD for data pipelines • Exposure to analytics or machine learning workloads • Experience working in regulated environments (e.g., healthcare or fintech)