Job Description
PySpark Developer (SAS & AWS)
12+ Month Contract | UK Fully Remote | Inside IR35
We're supporting a large-scale data and AI transformation programme. We are looking for an experienced Data & AI - LLM Model Developer with advanced PySpark and AWS expertise to help modernise complex Legacy data platforms.
This is a hands-on contract role where you'll play a key part in SAS-to-PySpark migration, building scalable, cloud-native data pipelines and delivering production-ready solutions in a regulated environment.
What you'll be doing
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Designing, developing, and optimising PySpark-based data pipelines on AWS
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Converting Legacy SAS workloads to PySpark, using automated migration tools and manual optimisation
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Refactoring and stabilising existing data workflows into modern cloud architectures
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Optimising Spark workloads for performance, scalability, and cost efficiency
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Working closely with engineers and stakeholders to deliver reliable, high-quality data solutions
Essential skills
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PySpark: strong hands-on experience building production-grade Spark solutions
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AWS: EMR, Glue, S3, Athena (and related services)
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Experience using automated migration tools for large-scale code or data modernisation
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Strong SQL and data engineering fundamentals
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Experience working with distributed data processing and cloud platforms
Nice to have
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Exposure to SAS or Legacy analytics platforms
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Experience in banking or financial services
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CI/CD, Git-based workflows, or DevOps tooling
Why this role?
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Fully remote (UK-based) contract
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Long-term transformation programme with real technical depth
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Modern cloud and data stack
- Outside-the-box problem solving, not just maintenance work
