Data Engineer to build and optimize large-scale data processing systems using Apache Spark and [...]

Hours: 37.5 hours per week Contract: 6 months + possibility of extension Work Model: 4 days onsite a week Must Haves

Strong Python with PySpark for building data solutions Hands‑on experience with Apache Spark in cloud‑native environments Expertise working with large‑scale data systems and up‑to‑date formats such as Parquet and Iceberg Experience using Databricks for development and optimisation Nice to Have

Experience with AWS data services such as Glue or Lake Formation Knowledge of workflow orchestration tools like Airflow Background in distributed data processing architectures Exposure to capital markets or financial data environments Responsibilities

Develop and optimise Spark‑based workloads in a cloud setting Work with large‑scale datasets using efficient storage and table formats Collaborate with stakeholders to translate data requirements into engineering deliverables Ensure high availability, reliability, and maintainability of data platforms Contri...