Overview

Data 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