76 to 100 of 357 ETL Jobs in the UK excluding London

SSIS, SSAS, SSRS, and PowerBI). Proficiency in languages such as Python and SQL, commonly used in Azure data processing. Use of Azure Data Factory for designing and managing ETL workflows. Experience with Microsoft Azure, including deploying and managing data solutions in Azure. Use of Azure Logic Apps for workflow orchestration. Ideally experience of Integration of data from external sources More ❯

build and maintain scalable and secure data pipelines on the Azure platform. Develop and deploy data ingestion processes using Azure Data Factory, Databricks (PySpark), and Azure Synapse Analytics. Optimise ETL/ELT processes to improve performance, reliability and efficiency. Integrate multiple data sources including Azure Data Lake (Gen2), SQL-based systems and APIs. Collaborate with Data Architects, Analysts, and stakeholders More ❯

Lambda). Proficient in Python, Apache Spark, and SQL. Experience in data warehouse design and data migration projects. Cloud data platform development and deployment. Expertise across data warehouse and ETL/ELT development in AWS preferred Experience is building a Data Lake as well as building CI/CD data pipelines Excellent communication and problem-solving skills. What's on More ❯

their data processes Bring leadership and gravitas to a business-facing role. Senior Data Engineer: Must-Have Experience: Strong SQL skills and experience with SSIS, SSRS, SSAS Data warehousing, ETL processes, best practice data management Azure cloud technologies (Synapse, Databricks, Data Factory, Power BI) Python/PySpark Proven ability to work in hybrid data environments Ability to manage and lead More ❯

on experience with Workiva, Carbon Analytics, or similar platforms. Strong understanding of ESG regulations and frameworks (CSRD, TCFD, GHG Protocol, ISSB). Proven ability to build data pipelines (SQL, ETL, APIs) and manage cloud data lakes (Azure, AWS, or GCP). Excellent stakeholder engagement skills across Finance, Legal, Audit, and Risk. (Bonus) Experience with carbon accounting methodologies (SBTi, ISO More ❯

and Business Intelligence (BI) initiatives and projects. Ensure reported data reflects the underlying systems accurately. Assist in the maintenance of data dictionaries and labeling within the data warehouse and ETL systems. Support and mentor team members, fostering a collaborative and resilient team environment. Stay up to date with relevant technologies and maintain technical competencies. Ensure completion of all required training More ❯

and DevOps practices related to database development. Desirable Skills: Experience working with legal systems and understanding the data requirements within the legal industry. Knowledge of data warehousing concepts and ETL processes. Experience with automation and scripting (e.g., PowerShell) for database management tasks. Qualifications: Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent work experience). More ❯

and mentorship to the team and leading by example across the activities within the Data Programme. REQUIREMENTS: Appropriate professional qualification or equivalent experience Proven competency working with data warehousing, ETL/ELT, integration tools and business intelligence solutions that will help to deliver the data and analytics strategy. Skills with Synapse (notebooks and data flows) is essential for Senior Data More ❯

of leading complex data initiatives Strong technical leadership experience, with the ability to guide and develop engineering teams Deep expertise in designing and implementing data architectures, data pipelines, and ETL processes Hands-on experience with cloud platforms (GCP, AWS, Azure) and their data-specific services Proficiency in Python, SQL, and data orchestration tools (e.g., Airflow, DBT) Experience with modern data More ❯

audits, and issue management Ensure consistent, accurate, and reliable data across all systems Data Integration & Warehousing Build and manage a centralised data warehouse Apply ETL processes to extract, transform and load data Integrate data across platforms using APIs, Celigo, Make Keep documentation updated in the IT Knowledgebase Analysis & Insights Build and maintain dashboards and MI reports Analyse complex datasets to … Embed data metrics into team performance tracking What You’ll Need Top 5 Must-Have Competencies Strong communication skills – clear, concise and confident Experience with data modelling, data warehousing, and ETL processes Excellent problem-solving and critical thinking skills High attention to detail and accuracy Qualification in Data Science, IT, Statistics, Maths, or similar Also Important Proven experience in a More ❯

audits, and issue management Ensure consistent, accurate, and reliable data across all systems Data Integration & Warehousing Build and manage a centralised data warehouse Apply ETL processes to extract, transform and load data Integrate data across platforms using APIs, Celigo, Make Keep documentation updated in the IT Knowledgebase Analysis & Insights Build and maintain dashboards and MI reports Analyse complex datasets to … Embed data metrics into team performance tracking What You'll Need Top 5 Must-Have Competencies Strong communication skills - clear, concise and confident Experience with data modelling, data warehousing, and ETL processes Excellent problem-solving and critical thinking skills High attention to detail and accuracy Qualification in Data Science, IT, Statistics, Maths, or similar Also Important Proven experience in a More ❯

in a consultancy and programme-delivery context. Experience with Zoho Analytics and Salesforce is a bonus. Key Responsibilities 1) Data Management & Reporting Write and maintain efficient SQL queries to extract, transform, and load (ETL) data from various sources Develop scalable and insightful dashboards and reports in Power BI to support programme performance tracking, operations, and compliance Monitor and troubleshoot data More ❯

reporting in a consultancy and programme-delivery context. Experience with Zoho Analytics and Salesforce is a bonus. Key Responsibilities Data Management & Reporting Write and maintain efficient SQL queries to extract, transform, and load (ETL) data from various sources Develop scalable and insightful dashboards and reports in Power BI to support programme performance tracking, operations, and compliance Monitor and troubleshoot data More ❯

and implementing automated reporting solutions in Power BI Support the operation of the business's applications which support the distribution of data to external customers Data Modelling: Extract, transform, and load data from a variety of sources into Power BI and develop and maintain data models which support data analysis and reporting requirements Collaboration: Work closely with stakeholders to understand More ❯

Power BI, and DAX, as these tools form a core part of the role. Solid knowledge of T-SQL, with experience writing complex queries and developing stored procedures to extract and interrogate data. Deep understanding of databases, query optimisation techniques, load monitoring, the Microsoft BI Stack, and ETL frameworks. Technical expertise in data mining, auditing, and segmentation. Experience in building More ❯

Power BI, and DAX, as these tools form a core part of the role. Solid knowledge of T-SQL, with experience writing complex queries and developing stored procedures to extract and interrogate data. Deep understanding of databases, query optimisation techniques, load monitoring, the Microsoft BI Stack, and ETL frameworks. Technical expertise in data mining, auditing, and segmentation. Experience in building More ❯

vibrant organisation. What You'll Do: Coding DAX Measures and Dimensional Models Developing & delivering visually compelling Power BI Dashboards & Reports to specification Developing and maintaining SSRS reports Developing & maintaining ETL pipeline solutions in Azure Data Factory and SSIS, utilising Azure Data Lake & Dev Ops Providing second & third line support for Data Team and own allocated support tickets Monitoring the Data More ❯

our technologies, workplaces, and colleagues to make our Group a great place for everyone. Including you. What you'll need Demonstrable experience designing and building scalable data pipelines and ETL/ELT workflows using modern data engineering best practices. Strong understanding of data modelling principles and experience designing data architectures for analytics and operational workloads. Deep familiarity with Google Cloud More ❯

our technologies, workplaces, and colleagues to make our Group a great place for everyone. Including you. What you'll need Demonstrable experience designing and building scalable data pipelines and ETL/ELT workflows using modern data engineering best practices. Strong understanding of data modelling principles and experience designing data architectures for analytics and operational workloads. Deep familiarity with Google Cloud More ❯

our technologies, workplaces, and colleagues to make our Group a great place for everyone. Including you. What you'll need Demonstrable experience designing and building scalable data pipelines and ETL/ELT workflows using modern data engineering best practices. Strong understanding of data modelling principles and experience designing data architectures for analytics and operational workloads. Deep familiarity with Google Cloud More ❯

our technologies, workplaces, and colleagues to make our Group a great place for everyone. Including you. What you'll need Demonstrable experience designing and building scalable data pipelines and ETL/ELT workflows using modern data engineering best practices. Strong understanding of data modelling principles and experience designing data architectures for analytics and operational workloads. Deep familiarity with Google Cloud More ❯

design and deliver robust, scalable data solutions that support mission-critical services across the UK. As a Senior Data Engineer, you will take ownership of building and optimising our ETL pipelines, managing large-scale datasets, and implementing cutting-edge data engineering practices using Python and modern Big Data technologies. As a Data Engineer you will be responsible for: Design, build … and maintain robust ETL/ELT pipelines across multiple data sources and formats Develop and optimise scalable data solutions using Python and distributed computing tools Work with structured and unstructured data across on-prem and cloud-based data platforms Support data quality, data governance, and compliance standards across projects Collaborate with data scientists, analysts, and key stakeholders to ensure data … following experience and skills: Proven experience as a Data Engineer, ideally in a senior or lead capacity Strong proficiency in Python for data processing and automation Deep knowledge of ETL/ELT frameworks and best practices Hands-on experience with Big Data tools (e.g. Hadoop, Spark, Kafka, Hive) Familiarity with cloud data platforms (e.g. AWS, Azure, GCP) Strong understanding of More ❯

Data Engineer – Leeds– SQL | Power BI | Azure | ETL Ready to drive innovation with T-SQL and BI, shaping a cutting-edge data platform? Do you have the expertise to build and maintain complex data warehouses and Power BI solutions? Excited to solve BI challenges and support data-driven decision-making across the business? A fantastic new opportunity has arisen with … models. In addition to working with Power BI, you'll play a key role in optimising and developing the company's Data Warehouse. This will involve designing and maintaining ETL/ELT processes, ensuring seamless data integration and efficient data flow. You'll work with SQL Server, SSIS, and Azure Data Factory to ensure the warehouse can support large-scale … SQL expertise will be crucial for managing complex queries and troubleshooting data pipeline issues. Key Skills: SQL/T-SQL Power BI or Tableau Experience with data warehousing and ETL/ELT processes Azure If you're passionate about shaping data solutions and thrive in a fast-paced, collaborative environment, this could be the role for you. APPLY now or More ❯

Data Engineer - Investment Banking - London/Hybrid (Data Engineer, SQL Data Engineer, Java, Python, Spark, Scala, SQL, Snowflake, OO programming, Snowflake, Databricks, Data Fabric, design patterns, SOLID principles, ETL, Unit testing, NUnit, MSTest, Junit, Microservices Architecture, Continuous Integration, Azure DevOps, AWS, Jenkins, Agile, Data Engineer, SQL Data Engineer) We have several fantastic new roles including a Data Engineer position to …/Databricks and Java/Python, as well as experience with Microservices Architecture and Continuous Integration. Exposure to NUnit, MSTest and Junit would be beneficial, along with knowledge of ETL, Azure DevOps, AWS, and Jenkins. There is a vast amount of knowledge and experience within the business to share with the right person, so the right attitude, cultural fit, collaboration More ❯

strategy, architecture, integration and migration activities for Oracle Fusion Cloud implementation. Should have knowledge of Oracle Fusion data models across multiple modules (Financials, SCM, EPM etc), strong expertise in ETL, data governance and cloud data integration tools. Key responsibilities: Define and lead the data architecture strategy for Oracle Fusion Cloud applications across various business domains Design end-to-end data More ❯