26 to 48 of 48 ETL Jobs in the North West

Data Engineer, you will have: Strong experience with SQL (e.g., MS SQL, Oracle). Knowledge of NoSQL technologies (e.g., MongoDB, InfluxDB, Neo4J). Experience with data exchange and processing (ETL, ESB, APIs). Proficiency in Python or similar programming languages. Familiarity with big data frameworks (e.g., Hadoop ecosystem). Desirable Skills: Understanding of NLP (Natural Language Processing) and OCR (Optical More ❯

data across multiple data types - text, images, and time-series (tabular) data. The Role You’ll join a small, collaborative data team in a Full stack Data Science role (ETL process through to building predictive models) working on live analytics, forecasting, and AI/ML projects. Key responsibilities include: Enriching and preparing datasets to uncover actionable insights Building and evaluating 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 ❯

C++,C#, NET, Java etc) (Essential) Experience of using configuration and version control tools (Rational ClearCase, Git) (Essential) Desirable Experience with database technologies (Oracle, SQL, etc) (Preferred) Knowledge of ETL toolsets (Pentaho etc) (Preferred) Understanding of middleware technologies (IBM MQ, RabbitMQ) (Preferred More ❯

C++,C#, NET, Java etc) (Essential) Experience of using configuration and version control tools (Rational ClearCase, Git) (Essential) Desirable Experience with database technologies (Oracle, SQL, etc) (Preferred) Knowledge of ETL toolsets (Pentaho etc) (Preferred) Understanding of middleware technologies (IBM MQ, RabbitMQ) (Preferred More ❯

C++,C#, NET, Java etc) (Essential) Experience of using configuration and version control tools (Rational ClearCase, Git) (Essential) Desirable Experience with database technologies (Oracle, SQL, etc) (Preferred) Knowledge of ETL toolsets (Pentaho etc) (Preferred) Understanding of middleware technologies (IBM MQ, RabbitMQ) (Preferred More ❯

Linux and Windows System Experience on Monitoring tools such as AppDynamics, ITRS, Elastic APM, Grafana, etc. Good to have: Working experience in Angular, NodeJS, etc Working experience on APIs, ETL processes and scripting. Good understanding of Openshift, Docker, Kubernetes, Containerization and Cloud models – IaaS, PaaS, SaaS, Infrastructure virtualization All profiles will be reviewed against the required skills and experience. Due More ❯

Linux and Windows System Experience on Monitoring tools such as AppDynamics, ITRS, Elastic APM, Grafana, etc. Good to have: Working experience in Angular, NodeJS, etc Working experience on APIs, ETL processes and scripting. Good understanding of Openshift, Docker, Kubernetes, Containerization and Cloud models – IaaS, PaaS, SaaS, Infrastructure virtualization All profiles will be reviewed against the required skills and experience. Due More ❯

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 ❯

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 ❯

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 ❯

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 ❯

data engineer/Data Engineering Manager with some management experience Experience handling large datasets, complex data pipelines, big data processing frameworks and technologies Experience with data modelling, data integration ETL processes and designing efficient data structures Strong programming skills in Python, Java, or Scala Data warehousing concepts and dimensional modelling experience Any data engineering skills in Azure Databricks and Microsoft … robust, scalable, and aligned data solutions for delivering high-quality care. The ideal candidate will lead the design and execution of cloud-based based scalable data storage solutions, oversee ETL pipeline development and optimisation, establish and manage data schemas and dictionaries, develop data integration solutions, and lead data cleansing, validation, and enrichment processes. Duties include: Working closely with analysts and … working (2 - 3 days per week in the office). To apply, press apply now or send your CV to Keywords: Head of Data Engineering/Azure Databricks/ETL/Python/data modelling Flexible working - Preston - Blackpool - Manchester - Warrington - Liverpool - Bolton - Blackburn Circle Recruitment is acting as an Employment Agency in relation to this vacancy. Earn yourself a 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 ❯

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 ❯