Senior Data Engineer

Description:

💻 Job Title: Senior Data Engineer

📍 Location: Central London (2 office days)

Data sits at the centre of this organisation’s strategy, powering customer-facing SaaS products, advanced analytics, AI capabilities and internal decision-making.

We’re looking for a Senior Data Engineer to play a key role in evolving an already mature modern data stack into something genuinely best-in-class. You’ll operate in a fast-moving environment alongside product, analytics and engineering teams, contributing directly to datasets and data products used across AI initiatives and customer-facing platforms.

This is a high-impact role with real influence over architecture, standards and delivery.

🫵 What you’ll be doing

• Design, build and maintain robust data pipelines, products and services that power analytics, AI and external features
• Partner with business domains to understand requirements and translate them into well-modelled, high-quality datasets
• Apply modern data management principles and industry best practice proactively
• Design and optimise scalable data solutions, balancing performance, cost and reliability
• Monitor and resolve data quality and performance issues, ensuring consistent, well-governed outputs
• Communicate technical concepts clearly to non-technical stakeholders
• Contribute to roadmap definition, shaping deliverables in ambiguous environments and driving measurable outcomes
• Coach and support colleagues, raising engineering standards across the wider team

✅ Technical requirements:

• Cloud - ideally AWS
• Strong SQL and Python
• Modern cloud-based data platform (Snowflake or equivalent)
• dbt for transformation and modelling
• Orchestration tools such as Airflow or Dagster
• Large-scale processing frameworks such as Spark
• CI/CD pipelines and DataOps practices
• Infrastructure-as-code and containerisation (Terraform, Docker, Kubernetes)
• Experience with relational databases
• Exposure to AI/MLOps concepts is beneficial