226 to 250 of 340 ETL Jobs in the UK excluding London

a. Infrastructure as Code (Terraform, Ansible, Puppet, Chef, PowerShell Scripting, Kubernetes) b. Tooling - Gitlab, ELK, Docker c. Oracle Developer d. Oracle Databases (RDBMS, OLAP, ExaData) e. Large Data Warehouses ETL technology and Deployment practices Qualifications Essential ICT qualification AND Recent experience of Middleware and/or Cloud administration Desirable Professionally recognised Middleware or Cloud administration certification ICT related degree ITIL More ❯

We are currently supporting a public sector organisation in the Yorkshire & Humber region that is seeking a forward-thinking ETL Developer to help modernise and enhance their data infrastructure. This role will focus on redesigning and refreshing existing ETL pipelines, which currently use a combination of Python and SSIS, to support the transition to a new centralised data warehouse. The … successful candidate will play a key part in migrating these pipelines to Azure Data Factory and providing ongoing support and iteration. Key Responsibilities: Redesign and develop new ETL pipelines to support modern data warehousing. Migrate and refine existing pipelines from on-premise solutions to Azure Data Factory. Access and work with SQL Server databases, including writing T-SQL queries and … stored procedures. Support and maintain both new and existing ETL processes. Structure and prepare data to optimise performance and enable deeper insights. Skills & Experience: Proven experience writing new ETL pipelines. Strong understanding of data structuring for performance and analytical use. Confident in working with SQL Server, including advanced T-SQL and stored procedures. Experience refining, modernising, and migrating ETL pipelines. More ❯

We are currently supporting a public sector organisation in the Yorkshire & Humber region that is seeking a forward-thinking ETL Developer to help modernise and enhance their data infrastructure. This role will focus on redesigning and refreshing existing ETL pipelines, which currently use a combination of Python and SSIS, to support the transition to a new centralised data warehouse. The … successful candidate will play a key part in migrating these pipelines to Azure Data Factory and providing ongoing support and iteration. Key Responsibilities: Redesign and develop new ETL pipelines to support modern data warehousing. Migrate and refine existing pipelines from on-premise solutions to Azure Data Factory. Access and work with SQL Server databases, including writing T-SQL queries and … stored procedures. Support and maintain both new and existing ETL processes. Structure and prepare data to optimise performance and enable deeper insights. Skills & Experience: Proven experience writing new ETL pipelines. Strong understanding of data structuring for performance and analytical use. Confident in working with SQL Server, including advanced T-SQL and stored procedures. Experience refining, modernising, and migrating ETL pipelines. More ❯

insights. You will deliver reporting, dashboards and analysis that drive value. Experience required and the remit includes: - Owning and leading data infrastrcutrure (design and lead implementation of enterprise-grade ETL and data pipeline solutions) - Take ownership of the data warehouse and related infrastructure - Experience working with cloud platforms (such as BigQuery, Snowflake, Azure) - Embed data governance strategies - Must be highly More ❯

SAP Analytics Cloud and other relevant SAP BI tools, ensuring alignment with business objectives and best practices Design, development and implementation of data models, data flows and transformation processes (ETL: Extract, Transform, Load), and data integration strategies to support efficient data warehousing Configure and optimise data extraction from source systems, including SAP ERP, non-SAP systems, and external data sources … the business reporting requirements and provide effective data modelling Ability to develop logical data model using best practices for data capture, data integrity and query & report design Ability to extract information from other systems and applications than SAP Excellent communication skills, both written and verbal Involved with at least two end-to-end full lifecycle projects We are keen to More ❯

management and admin teams. C9 Display role model behaviours with the ability to inspire and motivate operational colleagues to deliver service excellence. Desirable: D1 Expertise in designing and managing Extract, Transform, Load (ETL) workflows for data migration and warehousing. D2 Data integration and analysis skills. Experience Essential: E1 Practical experience in providing technical data management and leadership for one or More ❯

Develop customer segmentation, CLV and propensity models to inform targeting and promotions Design and evaluate A/B tests and multivariate experiments on pricing, merchandising and UX Build automated ETL pipelines and maintain real-time dashboards (Tableau/Power BI) for sales, churn and engagement metrics Translate complex analyses into clear recommendations for marketing, e-commerce and executive stakeholders Partner … Demonstrable experience designing and analysing A/B tests Strong storytelling and stakeholder-management skills Full UK work authorization Desirable Familiarity with cloud data platforms (Snowflake, Redshift, BigQuery) and ETL tools (dbt, Airflow) Experience with loyalty-programme analytics or CRM platforms Knowledge of machine-learning frameworks (scikit-learn, TensorFlow) for customer scoring Technical Toolbox Data & modeling: SQL, Python/R … pandas, scikit-learn Dashboarding: Tableau or Power BI ETL & warehousing: dbt, Airflow, Snowflake/Redshift/BigQuery Experimentation: A/B testing platforms (Optimizely, VWO More ❯

possible. Ensure dashboards are user-friendly, automated and provide actionable insights for stakeholders. Ensure all dashboards follow a strict peer review, QA and UAT process. Utilize Alteryx to create ETL pipelines, ensuring data accuracy and completeness throughout the process. Ensure all workflows follow a strict peer review, QA and UAT process. Utilise data services, whether that be dashboards, ETL pipelines More ❯

business intelligence and analytics experience - 5+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management experience - Experience with SQL - Experience with ETL - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software PREFERRED QUALIFICATIONS - 4+ years of working … with very large data warehousing environment experience - 10+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experience Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or More ❯

them into meaningful dashboards and reports. Designing, developing, and maintaining BI solutions using Power BI (with DAX) , SQL , and Excel . Working across the full BI stack-including SSIS (ETL) , SSAS , and SSRS -to build robust data pipelines and analytical models. Playing a key role in enhancing the company's data capability as part of its wider tech and digital … We're Looking For: Strong hands-on experience with Power BI , including advanced DAX . Proven background in SQL and Excel for data analysis and querying. Good experience with ETL tools , ideally SSIS , along with SSAS and SSRS . Ability to communicate with non-technical stakeholders and understand business needs. A proactive mindset, keen to work in a fast-evolving More ❯

them into meaningful dashboards and reports. Designing, developing, and maintaining BI solutions using Power BI (with DAX) , SQL , and Excel . Working across the full BI stack-including SSIS (ETL) , SSAS , and SSRS -to build robust data pipelines and analytical models. Playing a key role in enhancing the company's data capability as part of its wider tech and digital … We're Looking For: Strong hands-on experience with Power BI , including advanced DAX . Proven background in SQL and Excel for data analysis and querying. Good experience with ETL tools , ideally SSIS , along with SSAS and SSRS . Ability to communicate with non-technical stakeholders and understand business needs. A proactive mindset, keen to work in a fast-evolving More ❯

and implement domain-specific data architectures and models, including conceptual, logical, and physical designs. Experience with data modelling tools and methodologies Expertise in designing and managing data integration pipelines, ETL processes, and data warehousing solutions. Hands-on experience with modern tools and platforms Solid experience with database management systems (e.g., SQL Server, Oracle, PostgreSQL) and cloud-based data platforms (e.g. More ❯

and chair multi-functional delivery teams, mentoring engineers, scientists and analysts. Partner with our delivery provider to onboard specialist roles per your recommendations. Oversee implementation of new data platforms, ETL pipelines, and analytical models. Standards, Compliance & Quality Monitor application of data standards, governance frameworks and security controls. Embed strong data quality, lineage and protection practices across all systems. Contribute to … engineering, data science or analytics; proven track record setting/executing data strategies in complex organisations. Technical Breadth : Cloud-based data platforms AWS must (Azure, AWS or equivalent) Modern ETL/ELT tools and data pipeline frameworks Data modelling, warehousing and transformation best practices Data science/ML lifecycle from prototype to production Government/Public Sector : Experience to GDS More ❯

of a Data Engineering team and will play a significant role and be a key part of the project. Role Responsibilities - you will: Focus on the Silver layer. Build ETL pipelines using Microsoft Fabric Data Factory. Perform data transformations, schema design, standardisation, and cleansing. Write PySpark notebooks and stored procedures with error tracking. Possibly assist with data dictionary and mapping More ❯

triggers o In improving and optimising SQL queries and indexes o To carry out data migration within SSDT • Familiarity in data warehouse using the Microsoft stack: o Knowledge of ETL and usage of SSIS o Ability to create DMX queries and optimise current ones o Knowledge on creating/maintaining Cubes with usage of the Analysis Service o Knowledge of More ❯

the business. We are looking for: Experience as a Product Owner, Product Manager or Agile BA. Proven experience overseeing data products or platforms, particularly customer data platforms. Understanding of ETL/ELT workflows, APIs, data modelling, and pipeline development. Using analytics and BI tools to drive product decisions. Tableau, Power BI and Looker are preferred but not essential. If this More ❯

the business. We are looking for: Experience as a Product Owner, Product Manager or Agile BA. Proven experience overseeing data products or platforms, particularly customer data platforms. Understanding of ETL/ELT workflows, APIs, data modelling, and pipeline development. Using analytics and BI tools to drive product decisions. Tableau, Power BI and Looker are preferred but not essential. If this More ❯

and alerting in place. You will - Build and develop reusable pipelines Work with the team to improve operating efficiencies Deploy production AI models Work with the team to support ETL processes What you'll need to succeed Seasoned knowledge of the Azure Databricks platform and associated functionalities Strong Python programming knowledge, ideally Pyspark A logical and analytical approach to problem More ❯

start-up style environment, this is your role. Join our lean, ambitious engineering team as we scale our Demand-Side Platform (DSP) . From the nuts and bolts of ETL pipelines to cloud-first infrastructure and intuitive APIs, your work will directly shape the future of our data systems and product strategy. What You'll Do Architect and optimize ETL More ❯

the core. Supporting the development of a scalable data architecture and engineering roadmap. Helping colleagues across the business solve data problems, from ad hoc data extraction to long-term ETL solutions. Sharing best practices and mentoring junior team members in a newly formed, collaborative data team. Playing an active role in shaping a future-proof data environment as the organisation More ❯

retrospectives where needed. Key Skills 8+ years of experience as a Technical Business Analyst in complex, data-centric environments. Proven ability to write technical user stories for data pipelines, ETL processes, and analytics platforms. Strong understanding of data platforms, data lifecycle, and processing frameworks. Experience working with Solution Architects and engineering teams in technical environments. Demonstrable experience in delivery planning More ❯

with stakeholders to define requirements, develop BI solutions and give advice on data strategy, visualization best practices and performance optimization. In addition, you’ll assist with data integration and ETL processes with the IT and data teams identifying opportunities for analytics-driven improvements across the business. Their mission to help businesses to reduce energy costs and drive sustainability is powered More ❯

a related field. (Not a must but beneficial) A genuine passion for data - its potential, its impact, and how to harness it effectively. Hands-on experience supporting and improving ETL processes. Strong proficiency in SQL and other programming languages used for data analysis. Advanced expertise in Power BI or similar data visualisation tools. Solid understanding of machine learning platforms and More ❯

assets to ensure quality throughout project delivery. As a Data Engineering Manager, you will: Analyze large-scale structured data, validate through profiling, and understand data requirements. Design and develop ETL patterns/mechanisms for data ingestion, analysis, validation, normalization, and cleansing. Collaborate with data/business SMEs to confirm requirements and obtain signoffs. Implement data quality procedures to visualize data More ❯

the core. Supporting the development of a scalable data architecture and engineering roadmap. Helping colleagues across the business solve data problems, from ad hoc data extraction to long-term ETL solutions. Sharing best practices and mentoring junior team members in a newly formed, collaborative data team. Playing an active role in shaping a future-proof data environment as the organisation More ❯