1 to 25 of 46 ETL Jobs in the North West

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

make a difference. As an Associate Data Scientist you'll: design, develop, and maintain LLM-powered applications, ensuring scalable and robust AI solutions design, build, and optimise cloud-hosted ETL workflows for both structured and unstructured data explore and deliver proof-of-concepts for emerging AI technologies, evaluating their business value and practical applications collaborate with stakeholders to identify and More ❯

is a plus). • Strong Python and SQL skills, with experience working with large structured and unstructured datasets. • Experience building interactive dashboards and reporting tools. • Familiarity with data engineering, ETL processes, and data pipelines. • Experience with statistical modelling and machine learning techniques, and libraries such as scikit-learn, PyTorch, or TensorFlow. • Excellent communication skills—able to explain complex analysis to 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 ❯

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 ❯

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 ❯

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 ❯

track record creating interactive, well-designed dashboards and reusable datasets. Good grasp of data governance, version control (Git/SharePoint) and documentation. Bonus: experience with Snowflake , Alteryx (or similar ETL/ELT), and coaching stakeholders on best practice. Benefits ... Here our colleagues do whatever it takes to help our customers. And we believe in rewarding you in return. As More ❯

track record creating interactive, well-designed dashboards and reusable datasets. Good grasp of data governance, version control (Git/SharePoint) and documentation. Bonus: experience with Snowflake , Alteryx (or similar ETL/ELT), and coaching stakeholders on best practice. Benefits ... Here our colleagues do whatever it takes to help our customers. And we believe in rewarding you in return. As More ❯

track record creating interactive, well-designed dashboards and reusable datasets. Good grasp of data governance, version control (Git/SharePoint) and documentation. Bonus: experience with Snowflake , Alteryx (or similar ETL/ELT), and coaching stakeholders on best practice. Benefits ... Here our colleagues do whatever it takes to help our customers. And we believe in rewarding you in return. As More ❯

to a range of modern technologies including some of the below: Cloud platforms (GCP, AWS, Azure) and hybrid hosting architectures APIs, microservices, and modular applications Data strategies (data lifecycle, ETL, data modelling, governance) Cybersecurity Technology sustainability Payments, digital transformation, retail banking Collaboration & Communication Strong communication and storytelling skills Ability to build trusted relationships across engineering, product, and business teams Continuous More ❯

accessible, reliable, and optimised for analytics and reporting. Requirements: Strong experience with Snowflake data warehousing Proficiency in Azure Data Services (e.g., Data Factory, Synapse, Blob Storage) Solid understanding of ETL/ELT pipelines Experience with SQL, Python, or dbt is a plus Ability to work independently and communicate effectively in a remote setting Benefits: Salary up to £70,000 Fully More ❯

and bridging the gap between data science and data engineering where necessary. As a Data Scientist, you will be experienced with: ML techniques - linear regression, XGBoost, ensemble methods Python ETL pipelines AWS, Azure, or GCP SHAP or LIME tool familiarity Key information: Up to £450 per day Outside IR35 6 months (rolling) Hybrid Weekly - Manchester This is an exciting opportunity More ❯