1 to 25 of 31 ETL Jobs in the North West

be someone who can take end-to-end ownership of data engineering initiatives and deliver solutions aligned with enterprise data architecture as well as governance principles. Responsibilities Build complex ETL/ELT pipelines from scratch, integrating multiple data sources while implementing advanced transformations using mapping data flows Optimise performance and manage dependencies, ensuring robust monitoring/debugging of pipelines Architect More ❯

and Business Intelligence Experience in regulated environments Strong analytical and problem-solving skills Excellent communication across all business levels Expertise in Microsoft Data Platform (SQL Server, SSIS, SSAS, SSRS) ETL/ELT pipeline experience Solid understanding of data warehousing and modelling Proficiency in T-SQL and DAX Strong interpersonal and teamwork skills Desirable: Knowledge of financial services Power BI experience More ❯

and Business Intelligence Experience in regulated environments Strong analytical and problem-solving skills Excellent communication across all business levels Expertise in Microsoft Data Platform (SQL Server, SSIS, SSAS, SSRS) ETL/ELT pipeline experience Solid understanding of data warehousing and modelling Proficiency in T-SQL and DAX Strong interpersonal and teamwork skills Desirable: Knowledge of financial services Power BI experience 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 ❯

colleagues and stakeholders to ensure high-quality, maintainable, and scalable data solutions. Key Responsibilities Design and develop data processing software for deployment in Big Data technologies Build and maintain ETL/ELT pipelines using modern data platforms Collaborate with team members to resolve implementation challenges and ensure code quality Work with operations teams to ensure solutions are production-ready Contribute 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 ❯

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 ❯

Systems, or a related field, or equivalent. Proven experience in data warehousing, business intelligence, or a related field, or equivalent. Strong understanding of data lake architectures, data modelling, and ETL processes. Expertise in SQL and data visualization tools (e.g., Power BI). Excellent communication, interpersonal, and presentation skills. Connect to your business - Enabling Functions Collaboration is central to everything we 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 ❯

document programs/scripts from agreed specifications. Knowledge of data modelling, with experience leading strategies for delivery to wider communities. Expert Level: Proven track record leading the development of ETL pipelines for large, complex, or high-volume datasets, with effective delegation and oversight. Advanced knowledge of data engineering standards, with the ability to establish, maintain, and enforce them across teams. More ❯

across the company. You will be responsible for: Writing, optimising, and maintaining SQL queries Troubleshooting and resolving issues across the data platform Designing, building, and maintaining data pipelines and ETL processes Integrating data from multiple sources into centralised repositories Required skills & experience: Strong SQL skills, Any experience in Python will be an advantage. Databricks including Delta Lake and Unity Catalog. More ❯

internal stakeholders Provide insights through reporting and performance monitoring Contribute to education design and improvement of data table structures Requirements Azure, Data Factory, Synapse, Analytics Data warehousing & dimensional modelling ETL Power BI, Power Automate hugely beneficial Benefits Opportunity to be part of significant change management and customisation projects Big sense of ownership, autonomy, and technical influence Fantastic working culture On More ❯

internal stakeholders Provide insights through reporting and performance monitoring Contribute to education design and improvement of data table structures Requirements Azure, Data Factory, Synapse, Analytics Data warehousing & dimensional modelling ETL Power BI, Power Automate hugely beneficial Benefits Opportunity to be part of significant change management and customisation projects Big sense of ownership, autonomy, and technical influence Fantastic working culture On More ❯

use Power BI to create interactive reports, dashboards, and visualisations while designing scalable and efficient data models to support business insights. You'll be responsible for building and maintaining ETL pipelines, optimising data loading processes, and leveraging our in-house Power BI Embedded application to share insights across the business. Working closely with stakeholders, you'll translate reporting requirements into More ❯

Salesforce DX, and CI/CD pipelines. Strong understanding of Salesforce platform capabilities including Flow, roles, permissions, reports, and dashboards. Experience with Salesforce integration patterns (API/Middleware/ETL). Ability to translate business needs into platform solutions with minimal supervision. Excellent communication, stakeholder engagement, and documentation skills. Comfortable working in agile delivery teams and managing competing priorities. Desirable 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 ❯

CI/CD pipelines for data pipelines, services, and applications Manage and optimise AWS services: S3, Lambda, ECS, RDS, IoT Core, Glue,CloudWatch Monitor and troubleshoot data pipelines and ETL workloads for reliability and performance Support secure networking, IAM roles, and data access policies across environments Work closely with data engineers, software developers, and analytics teams Enable continuous improvement of More ❯

Proven experience in delivering complex, large-scale technical projects, with a strong focus on data platforms, analytics, or data-driven solutions. Deep understanding of data technologies, including data pipelines, ETL processes, data warehousing, and cloud-based data platforms (e.g., AWS, Azure). Strong technical background, with the ability to engage with engineers, architects, and data scientists to ensure alignment on More ❯

with cross-functional teams to understand data requirements and deliver solutions. Maintain and improve existing data systems and infrastructure. Ensure data quality, consistency, and security across the organisation. Implement ETL processes to integrate data from multiple sources. Develop and maintain documentation for data engineering processes and workflows. Monitor system performance and troubleshoot issues as they arise. Provide technical support to … engineering principles and best practices. Strong Power BI skills Proficiency in programming languages such as Python, SQL, or equivalent. Experience with cloud platforms and data storage solutions. Knowledge of ETL tools and processes. Familiarity with data visualisation and analytics tools. A problem-solving mindset and attention to detail. The ability to work collaboratively in a team environment. Job Offer Day More ❯

and turning data into decisions, this is the role for you. What you'll do Design and develop end-to-end Azure Data Warehouse solutions Build and maintain robust ETL/ELT pipelines using Azure Data Factory. Implement and maintain efficient data models and star/snowflake schemas. Optimize queries, improve performance, and ensure data quality and integrity. Develop and … strong Azure expertise. Solid understanding of SQL, T-SQL, and performance tuning. Hands-on experience with Azure Synapse Analytics, Data Factory. Strong background in data modelling, dimensional design, and ETL development. Proficiency in Power BI for data visualisation and reporting. Experience with Power Automate for process automation and workflow integration. Excellent problem-solving skills and the ability to work independently More ❯

and turning data into decisions, this is the role for you. What you'll do Design and develop end-to-end Azure Data Warehouse solutions Build and maintain robust ETL/ELT pipelines using Azure Data Factory. Implement and maintain efficient data models and star/snowflake schemas. Optimize queries, improve performance, and ensure data quality and integrity. Develop and … strong Azure expertise. Solid understanding of SQL, T-SQL, and performance tuning. Hands-on experience with Azure Synapse Analytics, Data Factory. Strong background in data modelling, dimensional design, and ETL development. Proficiency in Power BI for data visualisation and reporting. Experience with Power Automate for process automation and workflow integration. Excellent problem-solving skills and the ability to work independently More ❯