AWS Data Engineer - Permanent

Data Engineer - Hybrid (London-Based)

Full-Time

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.

Role Overview

As a Data Engineer, you'll be responsible for designing and maintaining robust data pipelines and models that support analytics and reporting. You'll work with diverse datasets and collaborate with cross-functional teams to ensure data is accurate, accessible, and actionable.

Key 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