Senior Data Engineer (Contract Outside IR35)

Project overview

Senior Data Engineer

London | Flexible, hybrid working pattern | Outside IR35 | 12-month engagement

We're looking for a Senior Data Engineer to shape modern data platforms, solve complex engineering challenges, and deliver data solutions that create business value.

You'll join an organisation investing heavily in its data capabilities, working alongside architects, analysts, data scientists, and engineering teams to build production-grade data platforms supporting 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 with 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 effective technical solutions
• Contribute to CI/CD, infrastructure-as-code, and automation initiatives
• Mentor engineers and champion data engineering best practice

Requirements

Desirable Experience

London | Flexible, hybrid working pattern | Outside IR35 | 12-month engagement

We welcome applicants from all backgrounds. Our client is an equal opportunities employer.

At Xpertise, we keep things human. Your application will always be reviewed by a real person. We do not rely on AI or automated screening tools. Every candidate receives fair, considered attention from our team.

Right to work in the UK is required for this role.

• Strong software engineering fundamentals, including Python, Scala or Java, SQL, Git, testing, APIs, and CI/CD
• Experience building modern cloud-based data platforms across 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
• A strong production mindset, with experience across monitoring, security, data quality, resilience, and operational support
• Ability to balance technical excellence with pragmatic decision-making
• 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

Project details

• Start: flexible
• Location: London, UK, GB
• Rate: 72-78 EUR/h