Rate: Up to £(Apply online only) per day, Outside IR35
Working Patterns: Remote-first, London (up to 1 day p/w on-site).
Contract: 3-6 months (likley extension)
Sector: Financial Services
About:
We're supporting a major cloud transformation programme focused on migrating a large-scale legacy ETL estate consiting of several thousand batch jobs from Ab Initio to a modern, serverless AWS data platform. This is a hands-on Senior Data Engineer role where you'll play a key part in defining migration patterns and delivering production-ready AWS Glue solutions.
Person Requirments:
Strong AWS Data Engineer - ideally AWS Certified.
Idelaly, you'll bring proven experience delivering Ab Initio → AWS Glue (PySpark) migration programmes
Strong hands-on AWS Data Engineering expertise, particularly AWS Glue, S3, Athena and serverless data platforms.
Advanced Python, PySpark and SQL skills.
Strong understanding of converting Ab Initio transformations/reformat logic into scalable PySpark solutions.
Experience building and optimising large-scale ETL/data pipeline solutions in AWS.
Excellent Spark performance tuning capabilities, including troubleshooting data skew, partitioning, memory and load-related issues.
Strong data warehousing and data modelling knowledge
Strong comminication skills.
Nice to Have
Experience with Claude Code or AI-assisted code conversion tools.
Amazon MWAA (Airflow) experience.
AWS Certifications.
Experience working on large-scale legacy modernisation programmes.Please apply now - this hiring process should be expected to finish by next week. Adam Akhtar
Salary description
£500.00 - £525.00 per day