Data Engineer

TEKsystems

Greater London, UK

3 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Working hours

Regular working hours

Job source

www.collegerecruiter.com

Tech stack

Java (Programming Language) Microsoft Azure Big Data Cloud Database Continuous Integration Data Control Information Engineering Extract Transform Load (ETL) Data Transformation Data Warehousing DevOps Distributed Systems

+13 more

Standard Sql Datadog Data Processing Cloud Platform System Apache Spark Backend Containerization Data Lakes Deployment Automation Data Management Software Version Control Data Pipelines Docker

Job description

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., * 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

Requirements

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