Data Engineer
Summary
Ascendion is hiring a hands-on Level 3 Data Engineer in Chester (hybrid) to design and deliver a governed, scalable Lakehouse data platform, building enterprise batch, near-real-time and streaming pipelines. Core stack: PySpark, Spark, Kafka, Apache Iceberg, Airflow, Databricks and Starburst/Trino.
Ascendion is looking for Hands-on Level 3 data engineer responsible for designing and delivering target-state data platform and strategic workloads into governed, scalable Lakehouse data products using PySpark, Spark, Iceberg, Airflow, Kafka, Databricks, Starburst and object storage.
Full-time role with Ascendion
Hybrid working Setup
Key Responsibilities:
- Design, build and optimise enterprise-scale batch, NRT and streaming pipelines using PySpark, Apache Spark and Kafka.
- Deliver target-state Lakehouse products using Apache Iceberg, object storage and reusable data-engineering patterns.
- Engineer cloud data-processing solutions on Databricks and support portability across on-premises and cloud compute.
Profile:
- Expert-level hands-on PySpark and Spark engineering experience, including performance tuning, partitioning, joins, caching and workload optimisation.
- Strong practical knowledge of Lakehouse architecture, Apache Iceberg, advanced SQL, data modelling and distributed processing.
Primary Engagement:
Works as a senior hands-on engineer, independently delivering complex components while collaborating with architecture, product and controls.
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