Found Description
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...
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