Senior Data Engineer - AWS/Databricks/PySpark - August Start Date
London, South East, England, United Kingdom
Hybrid / WFH Options
Hybrid / WFH Options
WüNDER TALENT
You’ll be involved in designing and building production-grade ETL pipelines, driving DevOps practices across data systems and contributing to high-availability architectures using tools like Databricks, Spark and Airflow- all within a modern AWS ecosystem. Responsibilities Architect and build scalable, secure data pipelines using AWS, Databricks and PySpark. Design and implement robust ETL/ELT solutions … services (e.g. S3, Glue, Redshift). Advanced PySpark and Databricks experience (Delta Lake, Unity Catalog, Databricks Jobs etc). Proficient in SQL (T-SQL/SparkSQL) and Python for data transformation and scripting. Hands-on experience with workflow orchestration tools such as Airflow. Strong version control and DevOps exposure (Git, GitHub Actions, Terraform). Familiar with More ❯
Employment Type: Full-Time
Salary: £80,000 - £95,000 per annum
Posted: