126 to 150 of 289 ETL Jobs in the UK excluding London

Coordinate data conversion and migration cycles across key phases: System Testing End-User Testing Final Migration & Go-Live Work with technical experts to ensure ETL (Extract, Transform, Load) tools are developed and embedded to industrialise data transfers. 3. Master Data & Governance Foundations Define and implement the blueprint for Group Master ...

further information on this opportunity, apply via the link or contact the VANRATH team for a confidential discussion. Skills: data master data ERP ETL Dat migration TLNT1 ...

work on complex engineering challenges within an innovative, collaborative environment. What you'll be doing Designing and building modern, scalable data platforms Developing reliable ETL/ELT pipelines and data models Working closely with software, AI and engineering teams Improving data quality, accessibility and governance Applying AI-powered tools and ...

data-driven decision making Strong SQL and Python skills Knowledge of analytics platforms such as Google Analytics or similar tools Understanding of data modelling, ETL processes, and data engineering fundamentals Ability to communicate complex analytical concepts clearly to technical and non-technical stakeholders Experience influencing senior decision-makers through insight ...

with modern data tooling, including dbt, Dagster (or equivalent), and Airbyte (or similar) Deep knowledge of data modelling approaches. Strong understanding of ELT/ETL patterns, pipeline design, and distributed data systems Experience optimising performance and cost in cloud-based data platforms Experience managing or mentoring technical teams or individuals ...

detail and quality-first mindset AI Data Quality Analyst 30/07/2026 Permanent Location United Kingdom Start date As soon as possible ETL Developer Java JSON Python +2 30/07/2026 Permanent Location Bournemouth, England, United Kingdom Start date As soon as possible Business Analyst ...

Microsoft's fastest-growing data platforms, this is a fantastic opportunity. You Will Work With Designing, building and maintaining scalable data pipelines. Developing ETL/ELT processes to ingest and transform data from multiple sources. Apache Airflow for workflow orchestration, scheduling and automation. Azure SQL and cloud-based data platforms. … Excellent opportunity for a Data Engineer looking to develop towards a more senior position over time. Key Experience Previous experience in a Data Engineer, ETL Developer or similar role. Strong SQL skills, ideally within Azure SQL or SQL Server environments. Experience building, maintaining and optimising data pipelines. Knowledge of ETL ...

deliver real-time business insigh ts.Extract, transform, and integrate data from SaaS applications, APIs, and public data sourc es.Build and optimize data pipelines and ETL workflows for efficient and accurate data movement and transformati on.Apply data science and AI techniques (predictive modelling, clustering, regression, NLP) to uncover trends and enable … modeling, and automati on.AI & Predictive Analytics: Knowledge of AI/ML frameworks for building predictive and prescriptive insigh ts.ETL & Data Engineering: Experience designing scalable ETL/ELT pipelines using modern tools and framewor ks.Cloud Platforms: Familiarity with AWS (Redshift, Athena, S3) or Azure (Synapse, Data Lake, AD F).Data Governance ...

and developing enterprise-scale data solutions using Microsoft Fabric Building modern Lakehouse and Warehouse solutions within Fabric Developing Azure Synapse Analytics solutions Creating scalable ETL and ELT pipelines Developing Power BI semantic models and supporting reporting solutions Engineering robust Azure Data Factory integrations Building secure Azure Data Lake solutions Working … also bring strong experience across: Microsoft Fabric (essential) Azure Synapse Analytics (essential) Power BI Azure Data Factory Azure Data Lake SQL Server ETL/ELT development Azure DevOps Git Enterprise cloud data engineering AI Experience We're looking for engineers who have already begun applying AI capabilities within enterprise data ...

stakeholders, you'll play a key role in the ongoing evolution of the company's Azure-based data estate. Key Responsibilities Build and maintain ETL/ELT data pipelines Integrate data from multiple systems and external providers Develop scalable and reliable data models Improve monitoring, testing, and platform performance Support … Skills Strong SQL development skills Experience with Python or a similar programming language Data engineering or data integration experience Understanding of data modelling and ETL/ELT concepts Experience implementing data validation and testing processes Strong communication and stakeholder engagement skills Desirable Skills Azure Data Factory Databricks Synapse Analytics Microsoft ...

modern data engineering practices, cloud technologies, data modelling, and platform development, with plenty of opportunities for learning and progression. Key Responsibilities Build and support ETL/ELT data pipelines using modern cloud technologies. Assist with integrating and transforming data from multiple business systems. Help maintain a scalable, secure, and reliable … related subject, or equivalent commercial experience. Good SQL skills and experience with Python or another programming language. Understanding of databases, data modelling, and ETL/ELT concepts. Interest in cloud data technologies and modern data platforms. Exposure to Azure, Microsoft Fabric, Databricks, Data Factory, or similar technologies would be advantageous. ...

business priorities, with a strong focus on delivery practices and data governance. Key Responsibilities Delivery Leadership · Lead end-to-end delivery of data initiatives (ETL/ELT pipelines, data models, dashboards, reporting products) · Own delivery plans, milestones, RAID logs, and dependencies across multiple squads · Ensure on-time, in-scope delivery … solutions · Experience managing multiple workstreams and dependencies Desirable · Desirable of AWS Snowflake · Exposure to cloud platforms (Azure, AWS, or GCP) · Understanding of ETL tools · Experience with data governance frameworks · Knowledge of BI tools (Power BI, Tableau, Looker) · Experience working in Agile environments (Scrum/Kanban) Key Behaviours · Strong ownership and ...

and high-performing environment. Key responsibilities include: Designing and building enterprise-scale Microsoft Fabric solutions Creating Lakehouses, Data Warehouses and Semantic Models Developing robust ETL/ELT pipelines and real-time data integrations Designing and managing the OneLake architecture Establishing data governance, security and access controls Supporting Power BI, self … Microsoft Fabric expertise (Lakehouse, Warehouse, Pipelines, Notebooks) OneLake architecture and management Advanced SQL/T-SQL PySpark and Spark optimisation Data warehousing, modelling and ETL/ELT development Power BI semantic modelling Experience delivering enterprise cloud data platforms Experience integrating multiple business systems Strong stakeholder engagement and communication skills Ability ...

cloud infrastructure and analytics platforms using modern cloud-native technologies. Key Responsibilities Design, develop and maintain scalable Azure-based data pipelines. Build and optimise ETL processes for large-scale cybersecurity datasets. Develop automated data ingestion and provisioning solutions. Engineer cloud infrastructure following Site Reliability Engineering (SRE) principles. Support production environments … Azure Logic Apps Kubernetes Azure DevOps Programming & Automation Python PowerShell Bash Terraform SQL Kusto Query Language (KQL) GitHub CI/CD Pipelines Data Engineering ETL Pipeline Development Data Integration Data Modelling Data Warehousing Cloud Data Pipelines Data Cleansing & Transformation Real-Time Data Processing Infrastructure & Platforms Linux (Red Hat preferred) Apache ...

business scales. Responsibilities: Design, build, and deliver scalable cloud-based data platforms and data engineering solutions. Develop robust, high-performance data pipelines and modern ETL/ELT frameworks. Contribute to the architecture and technical design of secure, scalable, and resilient data platforms. Build and optimise cloud-native data solutions across … architecture and technical solution design. Strong programming skills in Python, Scala, or Java. Advanced SQL skills, including optimisation and performance tuning. Experience building modern ETL/ELT pipelines and distributed data processing solutions. Strong understanding of data warehousing, data modelling, and cloud-native architectures. Experience working with Infrastructure as Code ...

Build and evolve the serving layer - including graph and vector retrieval, GraphRAG, response assembly, and a Model Context Protocol endpoint consumed by downstream agents Extract and promote reusable components into a shared core library, reducing duplication across the platform's repositories Integrate with data sources and services across the firm … tool/function calling, Model Context Protocol), or platforms such as Bedrock or Azure OpenAI Experience with Databricks, MongoDB, or large‐scale extract, transform, and load/data integration workflows Knowledge of data governance, lineage, and entitlements concepts in an enterprise environment ABOUT US J.P. Morgan is a global leader ...

experience building production AI applications in a cloud environment Hands on expertise with LLMs, prompt engineering, and agent based workflows Data engineering capability, including ETL processes, orchestration, and working with large datasets Ability to design and deploy scalable, reliable systems Experience working with modern AI tooling and development workflows Strong ...

customer engagement. You will analyse business requirements throughout the service life cycle and design modern data analytics platforms. Responsibilities include translating requirements, data modelling, ETL and data migration, data quality, MDM, and a strong focus on data science, AI and ML. Agile delivery and stakeholder management are key to success. ...

insight. Collaborate with stakeholders, develop semantic models, implement RLS, and ensure data quality while delivering training. Ideal candidates have strong Power BI, DAX, M, ETL, and data warehousing knowledge, plus experience with SQL and public sector or local government context. #J-18808-Ljbffr ...

teams and customers Nice to Have Experience with any of the following would be an advantage: SaaS or enterprise data environments Data integration or ETL processes Git or other version control tools Familiarity with semantic layer tools such as Cube or LookM Why Apply? You'll be joining a highly ...

product analytics and user behaviour tracking tools, such as Google Analytics or similar platforms Advanced SQL skills and working knowledge of Python Understanding of ETL processes and core data engineering concepts Ability to translate complex analysis into clear business recommendations Experience delivering analytics projects within cross functional teams Proven capability ...

deployability, etc. Troubleshoot development and production problems across multiple environments and operating platforms, from the AWS-based modern stack to the multiple strands of ETL and database (legacy and otherwise) that underpins the service. Routinely use collaborative development practices such as pairing and mobbing techniques in programming, code reviews, system ...

deployability, etc... - Troubleshoot development and production problems across multiple environments and operating platforms, from the AWS-based modern stack to the multiple strands of ETL and database (legacy and otherwise) that underpins the service. - Routinely use collaborative development practices such as pairing and mobbing techniques in programming, code reviews, system ...

least one analytical language such as Python or R A solid understanding of statistics and machine learning fundamentals Experience working with data transformation or ETL tools (DBT is a plus) Confidence explaining technical concepts to non-technical audiences A collaborative mindset and comfort working with distributed, cross-functional teams What ...

models, forecasting, and commercial performance analysis. Knowledge of AI, machine learning, and automation applications across customer, digital, and commercial contexts. Experience with data platforms, ETL processes, APIs, and cloud environments (e.g. GCP). Expertise in digital analytics platforms such as Google Analytics, Adobe Analytics, and Content Square. Experience with ...