Data Engineer
Datatech Analytics
Greater London, UK
14 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
Tech stack
Information Engineering
Extract Transform Load (ETL)
Data Systems
Software Debugging
Python (Programming Language)
Standard Sql
SQL Databases
Apache Spark
Pyspark
AWS Data Analytics
Job description
The team uses Claude extensively to support development, debugging, testing and documentation. You’ll combine AI-assisted development with strong Python, SQL and Spark fundamentals to produce reliable, well-tested solutions.
What you’ll be doing
- Designing, building and optimising scalable AWS data pipelines and ETL/ELT processes
- Developing data solutions using Python, SQL and Spark
- Processing large and complex behavioural datasets
- Improving data quality, reliability, performance and monitoring
- Using Claude and other AI-assisted development tools to support delivery
- Collaborating with engineers, analysts and data scientists
- Identifying opportunities to automate and improve data workflows
- Contributing ideas as the platform and its data products continue to evolve
Requirements
- Hands-on data engineering experience using Python and SQL
- Practical Spark or PySpark experience
- A good understanding of scalable ETL/ELT design and data quality
- Experience using Claude or another AI-assisted development tool, with the ability to review and validate generated code
- Strong communication skills and an interest in working within a small, collaborative team
This is an opportunity to work with cutting-edge data and AI technology, take ownership beyond one narrow area and help shape a platform as the business grows.
Applicants must already have the right to work in the UK, as sponsorship is not available for this position.
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