Senior Data Engineer

G Digital

Skelmersdale, UK

17 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Compensation

£75,000.0

Working hours

Regular working hours

Job source

www.collegerecruiter.com

Tech stack

Amazon Web Services Amazon S3 Business Analytics Applications Information Engineering Extract Transform Load (ETL) Python (Programming Language) Standard Sql Simple Data Format Parquet Backend Data Lakes Pyspark

+1 more

Serverless Computing

Job description

You reporting directly to the Head of Data and working alongside their CTO who’s a Goldjacket-level AWS expert with every certification under his belt, known for giving talks across the UK, Europe, and the US

You’ll have the opportunity to own the data platform from day one, helping to shape architecture, tooling, governance and delivery processes.

You’ll be building in a serverless AWS environment, creating high-performance data lakes and pipelines that support NHS operations, commercial teams and internal decision-making.

Requirements

️ A pragmatic, hands-on engineer who thrives in greenfield environments and loves building systems that are clean, testable and futureproof

️ Someone who think in systems and data lifecycles (from raw S3 files to Athena or BI dashboards)

️ An individual who can communicate clearly across technical and non-technical teams

️ The desire to work in a small, high-calibre team solving real problems with impact, * Extensive experience in data engineering OR backend roles focused on analytics platforms

Strong hands-on experience with AWS Glue, Athena, Lambda, S3 and Step Functions
Proficiency in Python (incl. PySpark) and SQL
Experience building production-grade ETL pipelines
Strong understanding of data modelling for analytics, including partitioning, file formats (Parquet, ORC) and denormalisation
Track record of enforcing data quality, governance and performance SLAs