Informacje o stanowisku

Salary: £135,200 - 145,600 per year

• Bachelors or Masters degree in Computer Science, Engineering, or related field
• 7+ years of relevant experience in data engineering
• Strong experience with Postgres Aurora
• Expertise in Apache Iceberg
• Hands-on with AWS Glue Jobs
• Proficient in Apache Spark
• Strong programming skills in Python
• Experience working with Trino
• Solid understanding of capability-based design and data architecture fundamentals
• Proven experience building scalable data pipelines and distributed systems
• Strong problem-solving skills and understanding of modern data architectures
• Experience with Great Expectations for data quality (preferred)
• Exposure to DBT (Data Build Tool) (preferred)
• Awareness of Databricks (preferred)
• Optional: Knowledge of Java (preferred)

• Set up and optimize best practices for batch and streaming data pipelines
• Implement data quality, data monitoring, and data lineage tooling and reference architectures
• Collaborate closely with Data Architects to define schema, governance standards, and data modeling
• Develop and maintain ETL/ELT workflows, ensuring scalability and performance
• Work cross-functionally with product, engineering, and analytics teams to support data requirements
• Drive capability-based design principles to build reusable and modular components
• Troubleshoot and optimize performance issues across data systems

• AI
• AWS
• AWS Glue
• Databricks
• ETL
• Support
• Java
• Python
• Spark
• dbt
• Cloud

More:

We are seeking a highly skilled Senior Data Engineer to design, build, and optimize robust data pipelines and platforms. This role is remote and offers a fixed-term contract for 12 months. We provide competitive pay rates, and the ideal candidate will work closely within cross-functional teams to support analytics, AI/ML, and enterprise data needs.

last updated 8 week of 2026