Lead Data Engineer

ARC IT Recruitment; Greater London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading recruitment agency in the UK is seeking a Lead Data Engineer to join their client’s Technology Team. The role involves designing a cloud-based data architecture and developing scalable data pipelines. Candidates should be innovative problem solvers eager to work closely with various stakeholders. Key responsibilities include optimizing data pipelines and ensuring data quality. This position offers a pivotal opportunity to influence platform design and evolution.

Qualifications

• Strong experience in designing robust data architectures and models.
• Proven ability to develop and optimize data pipelines.
• Experience with data quality analysis and validation processes.

Responsibilities

• Design and develop data models, ETL/ELT processes, and data marts.
• Maintain and optimize data pipelines and warehouse environments.
• Collaborate with cross-functional teams on data solutions.
• Perform deep data analysis for quality and consistency.

Skills

Data Architecture Specialist

ETL/ELT processes

Pipeline Optimization

Cross-Functional Collaboration

Data Quality Ownership

Job description

Lead Data Engineer

Lead Data Engineer required to join my Client’s Technology Team and contribute to their Group Architecture Board in building the next generation of their eCommerce data platform. You will play a pivotal role in designing and maintaining a modern, cloud-based data architecture. Working closely with product, technology, and wider business stakeholders, you will be crucial in developing scalable data pipelines, improving reliability, and enabling smarter, data-driven insights and decisions.

You will have a direct voice in how we design, build, and evolve our platform and the technologies we adopt!

We are looking for a pragmatic, innovative, and self-motivated problem solver who delivers results through collaboration and technical excellence.

• Data Architecture Specialist : Design and develop robust data models, ETL / ELT processes, and data marts that support complex analytics and operational use cases.
• Pipeline Optimization : Maintain and optimize data pipelines and warehouse environments to ensure top-tier performance, reliability, and scalability.
• Cross-Functional Collaboration : Effectively collaborate with cross-functional teams to translate business and technical requirements into high-quality, robust data solutions.
• Data Quality Ownership : Perform deep data analysis to validate assumptions, identify issues, and own data quality, consistency, and accuracy end-to-end.
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