6 of 6 ETL Jobs in Cheshire

leading data visualisation platform. Harness a modern data platform to seamlessly integrate and manage data from diverse sources. Maintain and enhance sophisticated financial models and reporting systems. Implement robust Extract, Transform, and Load (ETL) processes to ensure data flows smoothly and accurately. Champion data accuracy, consistency, and integrity across all BI deliverables. Contribute to the establishment and enforcement of data More ❯

Master Data Governance in multi-site production & distribution organisation Experience with BI tools and reporting systems (Power BI, DAX, SQL, Advanced Excel) advantageous Experience in building or working with ETL tools is a must Excellent communication skills and ability to work across departments, locations and countries. Proactive, detail-oriented, and technically minded with a problem-solving mindset. We provide: High More ❯

a minimum requirement of 2 days in the office and the flexibility to work from home the rest of the week. What will you be doing as Data Engineer: ETL Maintenance: Collaborating with the Senior Data Engineer to ensure that the ETL process between source systems and the Data Warehouse remains fully operational, with minimal downtime and blockages. Implementing new … What are the qualities that can help you thrive as a Data Engineer? Essential Experience and Qualifications: Strong SQL skills - Tables, Stored Procedures, performance tuning etc. Experience with Azure ETL tools - Azure data Factory/Synapse Strong experience in Data movement methodologies and standards, ELT & ETL. A self-motivated, enthusiastic problem solver, with the ability to work under pressure and More ❯

role in designing, building, and scaling robust data platforms that support analytics, reporting, and advanced insight across the organisation. Key Responsibilities of the Role: Design, build, and maintain reliable ETL processes and end-to-end data pipelines. Develop and manage data warehousing solutions to support analytics and reporting needs. Work with both structured and unstructured data, ensuring high-quality data … Work both independently and collaboratively, demonstrating proactive problem-solving and critical thinking. Key Experience Needed: 5+ years of experience in Data Engineering or a similar role. Proven experience building ETL pipelines and large-scale data systems. Strong understanding of data warehousing, modelling, and transformation. Experience with cloud platforms (AWS preferred). Exposure to Snowflake, or willingness to learn. Familiarity with More ❯

insightful dashboards and visualisations (Power BI preferred, but any strong data visualisation experience considered). Use SQL to manage and analyse large datasets efficiently. Apply your strong understanding of ETL processes to improve data workflows and ensure reliable data pipelines. Perform robust data cleaning and preparation to support high-quality analytics. Tell compelling stories with data-translating complex insights into … and discovery. What We're Looking For Strong experience in data visualisation (Power BI ideal). Solid SQL skills and comfort working with large, complex datasets. Strong grasp of ETL concepts and data pipeline processes. Proficiency in data cleaning, transformation, and preparation. Excellent communication and data storytelling ability. Ability to collaborate with stakeholders and translate requirements into analytical solutions. Curiosity More ❯

Full Stack Software Engineer (Backend & Data Focus) AWS | Node | Data Pipelines | ETL | TypeScript North West/Hybrid – 2 Days in Office £45,000 - £55,000 AWS | Node | Data Pipelines | ETL | TypeScript The Client We’re partnered with a high-growth technology company who are reshaping how digital experiences are delivered at scale. Their award-winning SaaS platform powers the online … Software Engineer within a SaaS, PaaS, or data-intensive environment Strong experience with AWS cloud technologies (Kinesis, Glue, S3, RDS, Lambda) Node.js or TypeScript for backend development Understanding of ETL , data ingestion , and storage best practices Experience with relational and non-relational databases (PostgreSQL, DynamoDB, MongoDB) Strong communicator with experience working in Agile teams AWS | Node | Data Pipelines | Typescript The More ❯