Data Engineer

Department: Data

Employment Type: Full Time

Location: London, UK

Reporting To: Jack Weeks

Compensation: £45,000 - £70,000 / year

Description

You will be designing, building, and maintaining scalable data pipelines and architecture to support analytics that will feed live into our mobile and web-apps as well as enabling data-driven decision-making internally.

We are an office-first, collaborative team and this role is based in Camden 4 days a week

What you will be doing

You will be combining business analytics, data visualisation, data mining and data infrastructure to enrich data access across all business units and to enable data-driven decisions.

Building and maintaining scalable data pipelines to support data integration into our customer-facing mobile and web-apps as well as internal dashboards
Designing and implementing data architecture to optimize data storage, retrieval, and processing
Developing ETL processes to ingest, transform, and load data from various sources, specifically APIs
Collaborating with data scientists and software engineers to understand data needs for our customer-facing mobile and web-apps
Working with internal stakeholders (e.g., Head of Ops, Head of Commercial) to understand and shape data requirements for internal data-driven decision making
Creating and maintaining data documentation, monitoring pipeline performance, and troubleshooting issues

This position might suit you, if you have

Excellent problem-solving abilities demonstrated through academic or professional experience
Professional experience in data architecture, data engineering best practices, and scalable data solutions
Proficiency in data modeling techniques, database design, and data normalization
Professional experience with Python and SQL, ideally with experience using data processing frameworks (e.g. Airflow, Pytorch, Spark)
Professional experience building and maintaining data pipelines in a production environment
Willingness to develop basic to intermediate proficiency in backend development (e.g., Python with Django) to support data pipeline integrations
Familiarity with data versioning and data quality management practices
Familiarity with build and deployment automation and CI/CD

Ideally:

Experience with data lakes, warehousing, and other data storage patterns
Proficiency with cloud platforms such as AWS or Azure, with experience using data services such as Apache Airflow, terraform or SageMaker

What we can offer you

£45,000-£70,000 (salary banding will be dependent on technical skills and experience)
Private medical insurance
A social, friendly and welcoming team based in the heart of Camden
Office gym membership
Ownership shares in a well-funded, growing start-up
Dog friendly office!

If you want to learn more about us, check out our website, Instagram and Tik Tok.

Applied

Review

Initial Phone Call

Founder Interview

Technical Interview

Hired