Data Engineer

Job Title: Data Engineer

Location: London HQ/Hybrid

Reports to: Data & Analytics Lead

Employment Type: Full-Time, hybrid

Job Summary

We're looking for an experienced Data Engineer to join our growing team. You'll be instrumental in designing, building, and maintaining our data infrastructure and pipelines. You'll work with large, complex datasets to empower our analysts, and business stakeholders to make data-driven decisions that shape the future of our company. 🚀

Key Responsibilities

Design, build, and maintain robust, scalable, and reliable ETL/ELT data pipelines.

Develop data models and schemas in our data warehouse to support business analytics and reporting needs.

Integrate data from a variety of sources, including third-party APIs, internal databases, and streaming platforms.

Implement processes and systems to monitor data quality, ensuring production data is always accurate and available.

Collaborate with analysts, business stakeholders and software engineers to understand data requirements and provide clean, accessible datasets.

Optimise and improve the performance of our data architecture and pipelines.

Contribute to our team’s best practices for data engineering and facilitate knowledge sharing within the wider team.

Required Skills & Qualifications

3+ years of hands-on experience in a data engineering role

Strong proficiency in SQL and Python

Strong experience with AWS (Batch, Lambda, Glue, ECR, RDS, Redshift, S3)

Experience in data warehousing, database design (e.g., star schema, snowflake schema), and data modelling.

Excellent problem-solving skills and the ability to work independently and as part of a team

Experience with version control systems (e.g., Git, GitHub) and CI/CD pipelines (e.g., GitHub Actions)

Experience with containerisation technologies like Docker

Able to leverage AI coding assistants (e.g. Claude) professionally and productively.

Desirable

Infrastructure as Code (IaC) tools such as CloudFormation

Able to resolve a connection issue within BI and data visualisation tools like Power BI