Senior Data Engineer

The Company

A high-growth data and analytics technology company is expanding its engineering team in London. The business builds advanced data platforms used to process large, complex datasets and support real-world decision-making across multiple industries. Engineering is central to the product, and teams work in a collaborative, inclusive environment focused on quality, scalability, and continuous improvement.

The Role

We\’re hiring a Senior Data Engineer to help design, build, and maintain scalable data infrastructure that underpins a modern analytics and decisioning platform. This is a hands‑on engineering role, not a BI or reporting position. You\’ll work on high‑volume data pipelines, distributed processing, and production‑grade systems used by internal teams and end users. You\’ll collaborate closely with other engineers and product teams, contributing to architecture, best practices, and long‑term platform evolution.

Key Responsibilities

• Design and build scalable data pipelines for ingesting and processing large datasets
• Maintain and improve data lake and processing infrastructure
• Develop production‑ready ETL / data processing workflows
• Improve data quality through cleansing, standardization, and validation
• Optimize performance and reliability of data workflows
• Contribute to engineering standards, documentation, and best practices
• Work in an Agile environment with iterative delivery

Skills & Experience Required

• Strong experience as a Data Engineer in production environments
• Proven background building robust, scalable data pipelines
• Experience working with cloud‑based data platforms
• Strong programming skills in Python, Scala, or Java
• Experience with distributed data processing (e.g. Spark or similar)
• Solid understanding of data modelling, ETL, and performance optimization
• Comfortable working with large, complex, real‑world datasets
• Strong communication skills and a collaborative mindset

Desirable Skills

• Experience with Spark/Airflow/Elasticsearch
• Exposure to Scala/Python
• Experience working in product‑led or R&D environments
• Background in analytics platforms, data products, or decision systems

What\’s On Offer

• £85,000 – £105,000 base salary + bonus
• Hybrid working with flexible hours
• 25 days annual leave + additional personal day
• Pension scheme with employer contribution
• Private healthcare and wellbeing support
• Work‑from‑anywhere allowance
• Learning and development budget
• Inclusive, collaborative engineering culture

Why Apply?

• Work on complex, high‑impact data engineering problems
• Be part of a product‑focused engineering team, not a support function
• Influence technical direction, architecture, and best practices
• Join a growing company with long‑term career progression

Interested?

Apply now or reach out for a confidential discussion.