Data Engineer

GKN
Luton, United Kingdom
3 days ago

Role details

Contract type
Temporary contract
Employment type
Part-time (≤ 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
£ 130K

Job location

Remote
Luton, United Kingdom

Tech stack

.NET
Airflow
Amazon Web Services (AWS)
Azure
Google BigQuery
Software as a Service
Computer Security
ETL
Data Systems
Data Warehousing
Python
SQL Databases
Data Streaming
Systems Integration
Snowflake
Data Pipelines

Job description

A London-based software company on a mission to make data work smarter. Their products power thousands of businesses, and as they grow, they're building a data stack that scales with their ambition.

They're looking for a Data Engineer who's excited about designing modern data systems, experimenting with new tech, and helping shape how data flows through everything they build.

What You'll Do

  • Build and own data pipelines that connect product, analytics, and operations
  • Design scalable architectures using tools like dbt, Airflow, and Snowflake / BigQuery
  • Work with engineers and product teams to make data easily accessible and actionable
  • Help evolve their data warehouse and ensure high data quality and reliability
  • Experiment with automation, streaming data, and ML-ready datasets
  • Influence technical decisions across the stack - they love new ideas

What You Bring

  • Hands-on experience in Python and SQL
  • Experience with modern data tools (dbt, Airflow, Prefect, Dagster, etc.)
  • Knowledge of cloud platforms like AWS, GCP, or Azure
  • An understanding of data modelling and ETL best practices
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Requirements

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Benefits & conditions

  • Work on meaningful data challenges that directly impact their products
  • Small, high-impact team with room to experiment and grow
  • Hybrid setup with a central London HQ
  • Competitive pay, generous (and achievable bonus), and genuine flexibility
  • A team that actually cares about building great tech

If you love solving tough data problems and want to help shape the data culture of a growing software company, they'd love to meet you. Similar jobs

About the company

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