Data Engineer - Hybrid (London-Based) – Full-Time

Role OverviewAs 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

#J-18808-Ljbffr