3 of 3 Big Data Jobs in West Yorkshire

Lead Data Engineer (Databricks) - Leeds (Lead Data Engineer, Team Lead, Technical Lead, Senior Data Engineer, Data Engineer, Python, PySpark, SQL, Big Data, Databricks, R, Machine Learning, AI, Agile, Scrum, TDD, BDD, CI/CD, SOLID principles, Github, Azure DevOps, Jenkins, Terraform, AWS CDK, AWS CloudFormation, Azure, Lead Data Engineer, Team Lead, Technical Lead … Senior Data Engineer, Data Engineer) Our client is a global innovator and world leader with one of the most recognisable names within technology. They are looking for a Lead Data Engineer with significant Databricks experience as well as leadership responsibility to run an exceptional Agile engineering team and provide technical leadership through coaching and mentorship. We are … seeking a Lead Data Engineer capable of leading client delivery, ensuring the highest standards. This will include working with architects, creating automated tests, instilling a culture of continuous improvement and setting standards for the team. You will be responsible for building a greenfield modern data platform using cutting-edge technologies, architecting big data solutions and developing More ❯

Data Engineer – Leeds – Hybrid - Azure An innovative fintech scale-up revolutionising how financial institutions leverage their data assets. Based in Leeds, they're building next-generation solutions that help banks, investment firms, and financial services companies unlock the true potential of their data to drive smarter investment decisions and enhance customer experiences. The Role They need a … talented Data Engineer to join their rapidly expanding engineering team in Leeds. You'll be architecting robust data systems that power critical financial analytics, working with modern cloud technologies whilst tackling real-world challenges in the fast-paced fintech sector. This is an excellent opportunity for someone ready to make their mark in financial technology within a dynamic … career progression opportunities Brilliant team culture + socials What you'll need: Strong SQL skills - you'll be optimising queries and managing complex financial datasets Python experience, particularly for data processing and ETL workflows Hands-on experience with cloud platforms- Azure Experience designing and maintaining data pipelines using tools like Databricks and PySpark Knowledge of data warehousing More ❯

migration, modernisation, and integration. Strong capability in documenting high-level designs, system workflows, and technical specifications. Deep understanding of architectural patterns (e.g., microservices, layered, serverless). Expert knowledge of big data tools (Kafka, Spark, Hadoop) and major cloud platforms (AWS, Azure, GCP) to inform technology recommendations. Proficiency in Java, C#, Python, or JavaScript/TypeScript. Experience with cloud More ❯