1 to 25 of 60 ETL Jobs in the North West

and troubleshoot data workflows and performance issues Requirements: Proven experience with Azure Data Services (Data Factory, Databricks, Synapse) Strong knowledge of Python, SQL, and Spark Experience with data modelling, ETL/ELT processes, and pipeline orchestration Familiarity with CI/CD and DevOps practices in a data engineering context Excellent communication and stakeholder engagement skills Desirable: Experience with Delta Lake More ❯

and troubleshoot data workflows and performance issues Requirements: Proven experience with Azure Data Services (Data Factory, Databricks, Synapse) Strong knowledge of Python, SQL, and Spark Experience with data modelling, ETL/ELT processes, and pipeline orchestration Familiarity with CI/CD and DevOps practices in a data engineering context Excellent communication and stakeholder engagement skills Desirable: Experience with Delta Lake More ❯

and troubleshoot data workflows and performance issues Requirements: Proven experience with Azure Data Services (Data Factory, Databricks, Synapse) Strong knowledge of Python, SQL, and Spark Experience with data modelling, ETL/ELT processes, and pipeline orchestration Familiarity with CI/CD and DevOps practices in a data engineering context Excellent communication and stakeholder engagement skills Desirable: Experience with Delta Lake More ❯

to support the successful integration of acquisitions and system upgrades. A strong background in Python programming is preferred, as the successful candidate will leverage Python to build and automate ETL (Extract, Transform, Load) processes, perform data validation and reconciliation, and develop custom scripts to facilitate data extraction and transformation between varied systems. Collecting and documenting data requirements. Pro-actively ensuring … platform and pipelines are reliable and robust, fixing issues as they arise and proposing & implementing stability improvements Develop, deploy and maintain ETL/ELT pipelines to automate financial data collection, transformation, validation and exception reporting Actively engaging with stakeholder across multiple departments. Data platforms administration Ensure relevant technical documentation is in place About you: We are looking for someone who … should have: Excellent writing and communication skills with an attention to detail Experience writing, troubleshooting, and debugging advanced SQL queries Outstanding analytical and problem-solving skills Experience working with ETL/ELT, and reporting and analytic tools Experience designing data warehouse technical architectures and infrastructure components Programming experience in Python Skills and experience we’d love you to have... Understanding More ❯

to support the successful integration of acquisitions and system upgrades. A strong background in Python programming is preferred, as the successful candidate will leverage Python to build and automate ETL (Extract, Transform, Load) processes, perform data validation and reconciliation, and develop custom scripts to facilitate data extraction and transformation between varied systems. Collecting and documenting data requirements. Pro-actively ensuring … platform and pipelines are reliable and robust, fixing issues as they arise and proposing & implementing stability improvements Develop, deploy and maintain ETL/ELT pipelines to automate financial data collection, transformation, validation and exception reporting Actively engaging with stakeholder across multiple departments. Data platforms administration Ensure relevant technical documentation is in place About you: We are looking for someone who … should have: Excellent writing and communication skills with an attention to detail Experience writing, troubleshooting, and debugging advanced SQL queries Outstanding analytical and problem-solving skills Experience working with ETL/ELT, and reporting and analytic tools Experience designing data warehouse technical architectures and infrastructure components Programming experience in Python Skills and experience we’d love you to have... Understanding More ❯

It's a role that balances hands-on engineering with the opportunity to shape the future of data infrastructure at scale. Key Responsibilities: Build and optimise data pipelines and ETL processes using AWS Glue, Lambda, S3 and Redshift Support the migration from SQL Server to AWS, implementing best practices throughout Maintain data quality and integrity through validation processes and monitoring More ❯

scalable. Create and manage database schemas, tables, stored procedures, indexes, and triggers. Ensuring high availability of databases through clustering, replication, and other techniques. Implement and maintain data pipelines and ETL processes for real-time and batch data ingestion. Monitor database performance and proactively address issues related to tuning and optimization. Ensure data security, privacy, integrity, and compliance with internal and More ❯

scalable. Create and manage database schemas, tables, stored procedures, indexes, and triggers. Ensuring high availability of databases through clustering, replication, and other techniques. Implement and maintain data pipelines and ETL processes for real-time and batch data ingestion. Monitor database performance and proactively address issues related to tuning and optimization. Ensure data security, privacy, integrity, and compliance with internal and More ❯

in Master Data Governance in multi-site production & distribution organization Experience with BI tools and reporting systems (Power BI, DAX, SQL, Advanced Excel) 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. Other languages (Polish More ❯

technologies including Hadoop and Spark for large-scale dataset processing Deep understanding of data security frameworks, encryption protocols, access management and regulatory compliance Proven track record building automated, scalable ETL frameworks and data pipeline architectures Outstanding analytical and problem-solving abilities with talent for converting business needs into technical solutions Excellent stakeholder management and documentation skills Team leadership experience with More ❯

implementing data engineering best-practice (e.g., source-to-target mappings, coding standards, data quality, etc.), working closely with the external party who setup the environment . Create and maintain ETL processes, data mappings & transformations to orchestrate data integrations. Ensure data integrity, quality, privacy, and security across systems, in line with client and regulatory requirements. Optimize data solutions for performance and … up monitoring and data quality exception handling. Strong data modelling experience. Experience managing and developing CI/CD pipelines. Experience with Microsoft Azure products and services, and proficiency in ETL processes. Experience of working with APIs to integrate data flows between disparate cloud systems. Strong analytical and problem-solving skills, with the ability to work independently and collaboratively. The aptitude More ❯

Lead the design and execution of scalable data storage solutions, including databases, data warehouses, and data lakes, ensuring efficient handling of large data volumes. Oversee development and optimisation of ETL pipelines for effective data extraction, transformation, and loading from diverse sources. Establish and manage data schemas, models, and dictionaries to promote data governance and ensure consistency across the organisation. Develop … data pipelines. Previous experience managing a team Experience with big data processing frameworks and technologies. Experience with data modelling and designing efficient data structures. Experience with data integration and ETL (Extract, Transform, Load) processes. Experience in data cleansing, validation, and enrichment processes. Strong programming skills in languages such as Python, Java, or Scala. Knowledge of data warehousing concepts and dimensional … modelling. Understanding of data security, privacy, and compliance requirements Proficiency in data integration and ETL tools Strong analytical skills and the ability to understand complex data structures. Capable of identifying data quality issues, troubleshooting problems, and implementing effective solutions. Disclosure and Barring Service Check This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such More ❯

large datasets. Experience working in environments where data is drawn from multiple complex sources (e.g. data warehouses, data lakes, or cloud platforms). A good understanding of data modelling, ETL, and governance . Strong stakeholder engagement skills confident presenting insights and simplifying complex data. Why join? Be part of a major transformation project where your input will shape the future More ❯

and Performant SQL. Experience analysing complex business problems and designing workable technical solutions. Excellent knowledge of the SDLC, including testing and delivery in an agile environment. Excellent knowledge of ETL Experience of data warehousing and data lake solutions. Experience working in an Agile environment. This is an excellent opportunity to join a company as it continues to grow and expand More ❯

hands-on experience with Power BI, including DAX and data modelling Good working knowledge of SQL Confidence in engaging stakeholders and explaining data clearly Awareness of data engineering processes (ETL, pipelines) – but no need to build them yourself Familiarity with HubSpot reporting or any CRM system is useful, but not essential An analytical, problem-solving approach and the curiosity to More ❯

hands-on experience with Power BI, including DAX and data modelling Good working knowledge of SQL Confidence in engaging stakeholders and explaining data clearly Awareness of data engineering processes (ETL, pipelines) – but no need to build them yourself Familiarity with HubSpot reporting or any CRM system is useful, but not essential An analytical, problem-solving approach and the curiosity to More ❯

Role As a Data Engineer, you'll play a pivotal role in shaping the data infrastructure. Your responsibilities will include: Building and Maintaining Data Pipelines: Design and implement scalable ETL processes to integrate data into our mobile and web applications, as well as internal dashboards. Data Architecture Design: Develop and optimise data storage, retrieval, and processing systems to ensure efficiency More ❯

data is readily consumable by analysts, scientists, and stakeholders. You’ll also play a key role in governance, security, and data visualisation initiatives. Key responsibilities include: Building and optimising ETL pipelines and data workflows. Ingesting and integrating datasets from multiple sources. Supporting data modelling and analytics initiatives. Applying security and governance best practices. Developing dashboards and visualisation tools for business More ❯

collaboration abilities. GCP certifications such as Associate Cloud Engineer or Professional Cloud Developer. Experience with CI/CD automation on cloud platforms. Background in working with large datasets and ETL pipelines. JBRP1_UKTJ More ❯

collaboration abilities. GCP certifications such as Associate Cloud Engineer or Professional Cloud Developer. Experience with CI/CD automation on cloud platforms. Background in working with large datasets and ETL pipelines. JBRP1_UKTJ More ❯

collaboration abilities. GCP certifications such as Associate Cloud Engineer or Professional Cloud Developer. Experience with CI/CD automation on cloud platforms. Background in working with large datasets and ETL pipelines. JBRP1_UKTJ More ❯

collaboration abilities. GCP certifications such as Associate Cloud Engineer or Professional Cloud Developer. Experience with CI/CD automation on cloud platforms. Background in working with large datasets and ETL pipelines. JBRP1_UKTJ More ❯

structures Requirements Strong experience in Data Warehousing, SQL development and BI reporting Proven expertise in Microsoft Azure , SQL , SSAS and data warehousing best practices Understanding of Power BI, and ETL beneficial Benefits Opportunity to be part of significant change management and customisation projects Big sense of ownership, autonomy, and technical influence Work as a senior member of the team Modis More ❯

structures Requirements Strong experience in Data Warehousing, SQL development and BI reporting Proven expertise in Microsoft Azure , SQL , SSAS and data warehousing best practices Understanding of Power BI, and ETL beneficial Benefits Opportunity to be part of significant change management and customisation projects Big sense of ownership, autonomy, and technical influence Work as a senior member of the team Modis More ❯

Boards/Test Plans), Confluence, Postman/SoapUI, Git-based repos for test assets. Data & SQL: Competent SQL for validation/reconciliation; comfort with CSV extracts, views and basic ETL results checking. Mobile & web: Cross-browser/device testing; accessibility and usability awareness. Reporting: Clear, concise test progress/quality reporting and RAID management. Desirable (Nice to Have) Certifications: ISTQB More ❯