Senior Data Engineer
Posted 3 days ago by Vallum Associates
Negotiable
Outside
Remote
England, United Kingdom
Summary: The Senior Data Engineer role is a contract position focused on delivering data-rich software and contributing to the architectural design and implementation of data-centric products. The position requires strong expertise in AWS, Databricks, and PySpark, particularly in data migration and enterprise-scale data platforms. The role is remote and classified as outside IR35, with a focus on building scalable data engineering solutions.
Key Responsibilities:
- Deliver data-rich software and contribute to architectural design and technical approach.
- Develop data-centric products from ingest to egress via pipelines, data warehousing, and integrations.
- Design and implement data migrations at scale.
- Build serverless data workflows using AWS Lambda.
Key Skills:
- Strong experience with AWS services such as S3, Lambda, EMR/Glue, Athena, Redshift.
- Proficiency in PySpark for data processing and transformation.
- Experience working on enterprise scale data platforms.
- Proactive mindset focused on clean, scalable data engineering solutions.
Salary (Rate): undetermined
City: undetermined
Country: United Kingdom
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: Senior
Industry: IT
Senior Data Engineer - Contract - AWS, Databricks, PySpark, Data Migration
6 months rolling contract
Remote based
Outside IR35
Must have strong AWS, Data migrations, PySpark, Databricks experience
As a Senior Data Engineer you will deliver data-rich software and contribute to the architectural design, technical approach and implementation mechanisms adopted by the team. You will be directly involved in the development of data-centric products from ingest to egress via pipelines, data warehousing, cataloguing, integrations and other mechanisms.
Senior Data Engineer - What We’re Looking For
- Experience designing and implementing data migrations at scale
- Experience working on enterprise scale data platforms
- Proficiency in AWS services such as S3, Lambda, EMR/Glue, Athena, Redshift
- Strong PySpark skills for data processing and transformation
- Ability to build serverless data workflows using AWS Lambda
- A proactive mindset focused on clean, scalable data engineering solutions