Data Engineer

Senior Data Engineer – Java (Azure Cloud)

Location: Fully Remote (Must be UK based)

Employment Type: Long term contract

Overview

An opportunity has arisen for an experienced Senior Data Engineer with strong Java development experience to join a team delivering large‑scale data and backend solutions in a modern Azure cloud environment. This role is suited to someone who enjoys working across data platforms and backend systems, contributing to reliable, scalable data pipelines and services that support business‑critical use cases.

What You’ll Be Doing

• Developing and maintaining Java‑based services that support data processing and integration
• Delivering and improving data pipelines, including batch workloads and scheduled processing
• Working closely with engineering and data teams to ensure high‑quality, reliable data outputs
• Designing solutions with performance, scalability, and maintainability in mind
• Supporting deployments and releases through automated CI/CD processes
• Investigating and resolving issues across development, test, and production environments
• Participating in peer reviews, technical discussions, and continuous improvement initiatives
• Contributing within an Agile delivery model

What We’re Looking For

• Strong commercial experience using Java in backend or service‑oriented environments
• Proven exposure to data engineering concepts, including ETL/ELT pipelines and data transformations
• Solid SQL skills for querying, validation, and troubleshooting
• Experience working with cloud‑based data platforms such as data lakes or data warehouses
• Hands‑on experience in an Azure environment
• Familiarity with modern engineering practices including source control and automated deployment
• Good understanding of distributed systems and service‑to‑service communication

Technical Environment

• Java (backend / services)
• Azure cloud services
• Data processing platforms (e.g. Spark or cloud data warehouses)
• CI/CD toolingGit or similar version control
• Containerization and orchestration tools such as Docker and Kubernetes (desirable)

Nice to Have

• Exposure to data monitoring, quality, or observability tooling
• Experience working in larger, complex system landscapes
• Mentoring or technical leadership experience