OverviewData Engineer - Hybrid (London-Based)

A leading creative technology company is seeking a skilled Data Engineer to join its data team. This role is ideal for someone passionate about building scalable data infrastructure and enabling data-driven decision-making across the business.

Responsibilities

Build and maintain scalable ETL/ELT pipelines.

Design data models and schemas to support analytics and reporting.

Integrate data from APIs, internal systems, and streaming sources.

Monitor and ensure data quality and availability.

Collaborate with analysts, engineers, and stakeholders to deliver clean datasets.

Optimise data architecture for performance and reliability.

Share best practices and contribute to team knowledge.

Required Skills

3+ years in a data engineering role.

Proficient in SQL and Python.

Strong experience with AWS services (e.g., Lambda, Glue, Redshift, S3).

Solid understanding of data warehousing and modelling: star/snowflake schema

Familiarity with Git, CI/CD pipelines, and containerisation (e.g., Docker).

Ability to troubleshoot BI tool connections (e.g., Power BI).

Desirable Skills

Experience with Infrastructure as Code (e.g., CloudFormation).

Please send me a copy of your CV if you meet the requirements

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