26 to 35 of 35 ETL Jobs in Manchester

Essential: Proven experience in data analysis, reporting or business intelligence, preferably within manufacturing. Proficiency with Excel, SQL, Power BI or Tableau) Strong ability to interpret complex data sets and extract meaningful business insight. Excellent attention to detail and focus on data quality and integrity. Effective communicator: able to explain data trends and insights to non-technical stakeholders. Comfortable working cross … functionally with department managers and senior leadership. Desirable: Experience in manufacturing or sales operations context. Prior experience building dashboards or automated reporting solutions. Knowledge of data migration, ETL or data-warehouse concepts. Understanding of best practice data governance, data-stream design and monitoring. 📍 Wigan - Hybrid working 3 days per weeks on site 💰 £30,000 - £40,000 DOE + Benefits Please More ❯

Leading a team across engineering and integration - Work to ensure the data infrastructure of the business effectively supports analytics, AL, machine learning ML and reporting - Designing of data pipelines, ETL, ELT processes and architecture - Work with internal stakeholders and multiple 3rd parties to seamlessly integrate systems, platforms and applications To be considered suitable for this Data Engineering Manager role you … the following: - Team leadership and guidance - Data engineering and aligning of data to business needs - Cloud technologies (Azure/AWS) - Understanding of Agile methodology - Data warehousing and Data Lakes - ETL/ELT - DevOps understanding - API integrations More ❯

CD pipelines. Collaborate with AWS teams and internal stakeholders for pipeline scalability and optimization. Design and implement process improvements, including automation, data delivery optimization, and infrastructure re-design. Develop ETL pipelines and data workflows using AWS and SQL technologies. Partner with cross-functional teams (product, design, and leadership) to resolve technical issues and enhance platform capabilities. Build analytical tools and … Working knowledge of Python and SQL for automation and data pipeline development. Familiarity with monitoring and observability tools (Grafana, Prometheus, CloudWatch). Strong grasp of data architecture principles and ETL design patterns. Financial services or regulated industry experience (desirable). More ❯

ownership of the data platform, optimising it for scalability to ensure successful client onboarding. You'll use modern tools (such as Airflow, Prefect, Dagster or AWS Step Functions) for ETL design and orchestration, work on transformation logic to clean, validate and enrich data (including handling missing values, standardising formats and duplication), use Redshift for efficient loading strategies and write ETL More ❯

ownership of the data platform, optimising it for scalability to ensure successful client onboarding. You'll use modern tools (such as Airflow, Prefect, Dagster or AWS Step Functions) for ETL design and orchestration, work on transformation logic to clean, validate and enrich data (including handling missing values, standardising formats and duplication), use Redshift for efficient loading strategies and write ETL More ❯

ownership of the data platform, optimising it for scalability to ensure successful client onboarding. You'll use modern tools (such as Airflow, Prefect, Dagster or AWS Step Functions) for ETL design and orchestration, work on transformation logic to clean, validate and enrich data (including handling missing values, standardising formats and duplication), use Redshift for efficient loading strategies and write ETL More ❯

ownership of the data platform, optimising it for scalability to ensure successful client onboarding. You'll use modern tools (such as Airflow, Prefect, Dagster or AWS Step Functions) for ETL design and orchestration, work on transformation logic to clean, validate and enrich data (including handling missing values, standardising formats and duplication), use Redshift for efficient loading strategies and write ETL More ❯

enhance performance and quality. • Collaborate with internal customers to define and optimise their data requirements. • Ensure data compliance and governance across multiple systems and workflows. • Work with SQL, noSQL, ETL, and API-based data exchange frameworks. • Support innovation by exploring and integrating Generative AI, NLP, and OCR technologies. • Contribute to the adoption of modern big data and containerisation technologies. Skills … Experience • Proven experience with SQL technologies (e.g. MS SQL, Oracle). • Experience with noSQL databases (e.g. MongoDB, InfluxDB, Neo4J). • Strong data exchange and processing expertise (ETL, ESB, API). • Programming experience, ideally in Python. • Understanding of big data technologies (e.g. Hadoop stack). • Knowledge of NLP and OCR methodologies. • Familiarity with Generative AI concepts and tools (advantageous). • Experience More ❯

enhance performance and quality. • Collaborate with internal customers to define and optimise their data requirements. • Ensure data compliance and governance across multiple systems and workflows. • Work with SQL, noSQL, ETL, and API-based data exchange frameworks. • Support innovation by exploring and integrating Generative AI, NLP, and OCR technologies. • Contribute to the adoption of modern big data and containerisation technologies. Skills … Experience • Proven experience with SQL technologies (e.g. MS SQL, Oracle). • Experience with noSQL databases (e.g. MongoDB, InfluxDB, Neo4J). • Strong data exchange and processing expertise (ETL, ESB, API). • Programming experience, ideally in Python. • Understanding of big data technologies (e.g. Hadoop stack). • Knowledge of NLP and OCR methodologies. • Familiarity with Generative AI concepts and tools (advantageous). • Experience More ❯

of the Business Analyst (Data Migration) Engage stakeholders to elicit, challenge, clarify and document requirements Analyse legacy and target system data, identify gaps and validate accuracy Lead data migration, ETL and data management across multiple systems Leverage advanced Excel for analysis, mapping, reconciliation, automation Develop process documentation, training materials and user guides Identify opportunities to automate processes (scripting, RPA, AI … Create dashboards and performance reports (Excel or Power BI) Requirements for the Business Analyst (Data Migration) Proven experience in complex data migration projects (cloud platforms preferred) Strong understanding of ETL, data mapping, reconciliation and profiling Advanced Excel (pivot tables, complex formulas, cleansing, macros, Power Query) Experience working with structured and unstructured datasets across multiple systems Excellent analytical mindset, attention to More ❯