2 of 2 Junior Data Engineer Jobs in Manchester

Junior Data Engineer - Manchester - £35,000 The Company: Lorien are working in partnership with Sharp Gaming, a fast-growing technology business powering some of the biggest names in the betting and gaming industry. With a strong focus on data-driven decision making, they're now looking to expand their data engineering team with a Junior Data Engineer who's eager to learn and grow in a high-performance environment. The Role: You'll be joining a collaborative team responsible for building and maintaining scalable data pipelines that support analytics, reporting, and operational systems. Working closely with senior engineers and data analysts, you'll help ingest, transform, and optimise data from various sources across the business. This is a hands-on role where you'll gain exposure to cloud platforms, modern data tooling, and best practices in data engineering. You'll also have the opportunity to contribute to the design and development of new data solutions as the business continues to scale. The Skill Requirements: Successful More ❯

if you want to help shape the future of betting and gaming, then it's to time to join us. Job Purpose We are on the lookout for a Junior Data Engineer to become an integral part of our Data Engineering Team. You will not only maintain and optimise our data infrastructure but also spearhead … its evolution. Built predominantly on AWS, and utilising technologies like Pyspark and Iceberg, our infrastructure is designed for scalability, robustness, and efficiency. You will be part of developing sophisticated data integrations with various platforms, developing real-time data solutions, improving automation, and enabling crucial business intelligence. Job Duties Build and Maintain Data Pipelines: Learn how to design … develop, and maintain data pipelines and ETL processes using key AWS services like AWS Glue, AWS Lambda, and AWS S3. Support Cloud Migration: Play a supporting role in migrating our existing SQL Server data warehouse to an AWS environment, specifically S3 and Redshift. Ensure Data Quality: Implement and run data quality checks and validation procedures to More ❯