Senior Data Engineer

Senior Data Engineer - Greenfield AWS Role

Leeds (Hybrid)

£75,000-£85,000

Our client is a nationally recognised leader in their industry, operating across the UK with a strong reputation for innovation and excellence. As part of their continued investment in data, they are building a high-performing data function to support enterprise-wide transformation and insight-driven decision-making.

The Role:

• We are seeking a Senior Data Engineer to play a key role in the design, build, and implementation of a new enterprise data platform as the business migrates to AWS. You will work closely with architects, analysts, and data scientists to develop robust, scalable, and secure data solutions that enable analytics, AI, and advanced insights.
• This role is ideal for an ambitious engineer who wants to take ownership of technical delivery and grow into a Lead Data Engineer position within 12-18 months as the team expands through the next phase of the company's data strategy.

Senior Data Engineer Responsibilities:

• Contribute to the design and delivery of the organisation's greenfield AWS data platform.
• Build and optimise scalable data pipelines to ingest, transform, and manage large datasets.
• Help design and develop a new data lake to support analytics and reporting across the business.
• Champion modern data engineering practices, including automation, quality, and governance.
• Collaborate with cross-functional teams to translate business requirements into technical data solutions.
• Take increasing ownership of architecture and design decisions as the platform evolves.
• Mentor and guide more junior engineers as the team grows, supporting a collaborative data culture.
• Evaluate new tools, frameworks, and processes to continuously improve the data ecosystem.

Key Skills & Experience:

• Proven experience as a Senior Data Engineer in a large-scale or complex environment.
• Strong hands-on expertise with AWS data services (e.g., S3, Glue, Lambda, Redshift, Athena, EMR).
• Experience building data lakes and modern data platforms from the ground up.
• Proficiency with Python, SQL, and orchestration tools such as Airflow or dbt.
• Strong understanding of data modelling, ETL/ELT processes, and distributed systems.
• Knowledge of data security, governance, and compliance best practices.
• Excellent communication skills, with the ability to work collaboratively and influence stakeholders.
• A growth mindset and readiness to step into a technical leadership position as the team expands.

What's on Offer:

• Career progression - clear path to a Lead Data Engineer role within 12-18 months.
• Opportunity to shape a greenfield data platform in a nationally recognised organisation.
• Hybrid working model with flexibility around office presence.
• Chance to play a pivotal role in delivering a modern, cloud-first data strategy.

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