Senior Data Engineer - Outside IR35

We’re looking for a Senior Data Engineer who understands that great data engineering is about building reliable, scalable data products, not simply moving data from A to B. This is an opportunity to shape modern data platforms, solve complex engineering challenges, and deliver data solutions that create genuine business value.

You’ll join an organisation investing heavily in its data capabilities, working alongside architects, analysts, data scientists, and engineering teams to build robust, production-grade data platforms that support analytics, AI, and operational decision-making.

Why join

• Work on large-scale data and cloud transformation initiatives
• Influence architecture, engineering standards, and platform strategy
• Deliver solutions that have measurable business impact
• Join a collaborative team of experienced data professionals

Responsibilities

• Design, build, and maintain scalable data products and pipelines
• Own solutions from requirements gathering through to deployment and monitoring
• Develop cloud-native data platforms using modern engineering practices
• Improve platform performance, resilience, security, and cost efficiency
• Implement data quality, observability, and governance controls
• Collaborate with stakeholders to translate business requirements into technical solutions
• Contribute to CI/CD, infrastructure-as-code, and automation initiatives
• Mentor engineers and champion data engineering best practice

• Strong software engineering fundamentals including Python, Scala or Java, SQL, Git, testing, APIs, and CI/CD
• Experience building modern cloud-based data platforms within AWS, Azure, or GCP
• Strong knowledge of technologies such as Databricks, Snowflake, Spark, Kafka, dbt, Airflow, or Azure Data Factory
• Experience designing and delivering end-to-end data engineering solutions
• Understanding of distributed computing, data partitioning, optimisation, and large-scale data processing
• Production mindset with experience in monitoring, security, data quality, resilience, and operational support
• Ability to balance technical excellence with pragmatic decision-making

Desirable experience

• Experience developing lakehouse or modern data warehouse architectures
• Knowledge of infrastructure-as-code tools such as Terraform
• Exposure to machine learning or advanced analytics environments
• Relevant cloud or data platform certifications