Data Engineer
Role details
Job location
Tech stack
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
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