176 to 200 of 717 ETL Jobs in the UK

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 ❯

the initial sentiment and topic classification models for review analysis Develop merchant benchmarking methodology across various industry categories Create data pipelines that integrate with our existing systems Implement efficient ETL processes to ensure data quality and reliability Design the data architecture with future expansion in mind Transform our product data into a strategic asset that delivers measurable value to merchants … data science roles Strong programming skills in Python and SQL Experience building NLP/ML models, particularly for text classification or sentiment analysis Background in developing data pipelines and ETL processes Proven ability to translate complex data models into business insights Experience working with large datasets (preferably e-commerce or review data) Strong communication skills to collaborate with product and More ❯

data scientists, and other stakeholders to understand their data needs and deliver high-quality data solutions. Key Skills -Strong proficiency in SQL, Python, and Spark. Experience with metadata-driven ETL/ELT. -Experience with AWS Glue, Databrew, S3, AWS Lambda, PostgreSQL, Quicksight -Version Control (Gitlab) and CI/CD -Familiar with security and networking principles, especially in an AWS deployment. More ❯

Product Owner, Business Analyst, or similar role, with a strong focus on working directly with data engineering teams . Deep Data Expertise: A solid understanding of data warehousing concepts, ETL/ELT processes, data modeling, and various database technologies (e.g., SQL, and cloud data platforms like AWS Redshift, Google BigQuery, Snowflake). Strong Technical Acumen: The ability to grasp complex 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 ❯

roles or similar. Designed and implemented efficient and scalable data models that support reporting and analytics requirements. Used Power Query (or similar tools) for data extraction, transformation, and loading (ETL) processes to prepare data for analysis. Demonstrable skill in performing data analysis on large datasets and preferably worked in data engineering roles to analyse and transform data for data science. More ❯

design, build, and optimize data pipelines using Databricks. You’ll work with clients and internal teams to deliver scalable, efficient data solutions tailored to business needs. Key Responsibilities Develop ETL/ELT pipelines with Databricks and Delta Lake Integrate and process data from diverse sources Collaborate with data scientists, architects, and analysts Optimize performance and manage Databricks clusters Build cloud 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 ❯

Datasphere, and integration of water utility data. Key Responsibilities Develop and maintain data models using SAP BW/4HANA , CDS Views , ADSO , and Composite Providers . Build and optimise ETL data flows from SAP S/4HANA , legacy systems , and real-time data sources (e.g. SCADA, telemetry). Deliver robust BI reporting layers to support business-critical dashboards (Power BI … as a Data Engineer or BI Developer on SAP S/4HANA programmes . Deep understanding of SAP BW/4HANA , HANA modelling , and CDS views . Hands-on ETL development experience using SLT , SDI , or third-party tools. Proficiency in SQL , ABAP , or Python for data transformation & automation. Background in utility or regulated industries (ideally water) highly desirable. Experience More ❯

Datasphere, and integration of water utility data. Key Responsibilities Develop and maintain data models using SAP BW/4HANA , CDS Views , ADSO , and Composite Providers . Build and optimise ETL data flows from SAP S/4HANA , legacy systems , and real-time data sources (e.g. SCADA, telemetry). Deliver robust BI reporting layers to support business-critical dashboards (Power BI … as a Data Engineer or BI Developer on SAP S/4HANA programmes . Deep understanding of SAP BW/4HANA , HANA modelling , and CDS views . Hands-on ETL development experience using SLT , SDI , or third-party tools. Proficiency in SQL , ABAP , or Python for data transformation & automation. Background in utility or regulated industries (ideally water) highly desirable. Experience 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 ❯

platform serves Amazon's finance, tax and accounting functions across the globe. As a Data Engineer, you should be an expert with data warehousing technical components (e.g. Data Modeling, ETL and Reporting), infrastructure (e.g. hardware and software) and their integration. You should have deep understanding of the architecture for enterprise level data warehouse solutions using multiple platforms (RDBMS, Columnar, Cloud … develop and define key business questions, and to build data sets that answer those questions. The candidate is expected to be able to build efficient, flexible, extensible, and scalable ETL and reporting solutions. You should be enthusiastic about learning new technologies and be able to implement solutions using them to provide new functionality to the users or to scale the … ambiguity environment, making use of both quantitative analysis and business judgment. BASIC QUALIFICATIONS - Experience with SQL - 1+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines - Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala) - Experience with one or more scripting language (e.g., Python, KornShell) PREFERRED QUALIFICATIONS More ❯

a rota. WHAT YOU WILL BE DOING Lead the architectural design, implementation, and ongoing optimization of our international data platform, aligned with enterprise-wide standards. Build and maintain scalable ETL/ELT data pipelines using Databricks, Spark, and related technologies. Optimize Databricks clusters, workflows, and jobs to ensure cost efficiency and high performance. Design and manage data lakes, data warehouses … control systems, particularly Git. Strong background in designing and optimizing complex data pipelines and infrastructure. Experience leading and mentoring technical teams of data engineers. Deep understanding of data warehousing, ETL/ELT patterns, and real-time data processing. Strong problem-solving and analytical skills, with meticulous attention to detail. Ability to work proactively, identify challenges, and implement improvements. Excellent communication More ❯

As well as good understanding of data architecture. To the level that you are able to engage with technical staff and data architectures or experts. Good knowledge of SQL, ETL technologies and data modelling. Knowledge of programming languages useful for data analytics such as Python Good knowledge of the Azure cloud data platform and the potential to use its services More ❯

trades efficiently, integrating with existing backend databases. • Enable secure and efficient data file exchange between users. • Database Integration: • Work with SQL databases to handle data extraction, transformation, and loading (ETL), ensuring real-time accuracy. • Build capabilities to handle input and output of data in a range of formats including Excel for seamless data exchange and communication with corporate clients. • Azure … maintenance. Candidate Specification: Technical Skills: • Programming Languages: Strong proficiency in Python, Rust, C#, or Java, ASP.NET, or Django for backend development. • Database Expertise: Advanced skills in SQL (querying, optimization, ETL processes) and working knowledge of integrating relational databases. • File Handling: Hands-on experience processing and manipulating Excel files programmatically. • Cloud Technologies: Proficiency in Azure services, including Azure Functions, Azure SQL More ❯

or risk. Technical expertise in: SQL, data analysis, and data visualization tools (Power BI/Tableau/Qlik) APIs (knowledge of JSON, RESTful services, Swagger/OpenAPI specs) Excel, ETL tools, and basic scripting (Python is a plus) Experience working in Agile/Scrum environments. Strong documentation and communication skills. Ability to collaborate with cross-functional global teams. More ❯

data architecture, or analytics, ideally within investment management, financial services, or private markets. Strong expertise in Azure cloud services, Synapse, Databricks, Spark, and data lake architectures. Deep understanding of ETL/ELT processes, data modeling, and high-performance data warehousing. Experience managing large-scale data platforms and optimizing data pipelines for analytics and reporting. Strong strategic mindset with the ability 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 ❯

models, reports, and dashboards using Power BI Service and Report Server. Designing, developing, and maintaining Power BI paginated reports. Extracting, transforming, and loading data using Power Query and other ETL tools. Creating dynamic and engaging visualizations. Gathering requirements from stakeholders and translating them into technical specifications. Ensuring data accuracy, reliability, and compliance with regulations and standards. Collaborating with cross-functional More ❯

models, reports, and dashboards using Power BI Service and Report Server. Designing, developing, and maintaining Power BI paginated reports. Extracting, transforming, and loading data using Power Query and other ETL tools. Creating dynamic and engaging visualizations. Gathering requirements from stakeholders and translating them into technical specifications. Ensuring data accuracy, reliability, and compliance with regulations and standards. Collaborating with cross-functional More ❯

models, reports, and dashboards using Power BI Service and Report Server. Designing, developing, and maintaining Power BI paginated reports. Extracting, transforming, and loading data using Power Query and other ETL tools. Creating dynamic and engaging visualizations. Gathering requirements from stakeholders and translating them into technical specifications. Ensuring data accuracy, reliability, and compliance with regulations and standards. Collaborating with cross-functional More ❯

Your work will be vital to ensuring data is accurate, structured, and available powering both real-time business intelligence and future advanced analytics. Key Responsibilities Design and develop automated ETL/ELT pipelines using SQL and Python Integrate internal/external data sources via APIs and platform connectors Model and structure data for scalable analytics (e.g., star/snowflake schemas … Support groundwork for future data science and machine learning initiatives The successful applicant will be proficient in SQL and Python, with a proven track record of building and maintaining ETL/ELT pipelines. Experience working with Microsoft Fabric, Azure Data Factory, and modern Lakehouse or data warehouse architecture is essential. You’ll demonstrate a strong focus on data quality and More ❯

execution, testing, and roll-out. Oversee and contribute to SQL development, including performance tuning, stored procedures, and high-volume data pipelines for reporting and analytics. Design, maintain and optimise ETL workflows to support data warehousing and reporting layers. Drive data quality and governance, ensuring robust validation and monitoring frameworks are in place. Promote knowledge sharing, mentoring junior team members and … safeguarding the integrity of business-critical data. What you'll bring Must-Haves: Proven experience in SQL development and optimisation, ideally within a financial reporting context. Solid experience with ETL tools and data warehousing principles. Strong analytical mindset with excellent Excel skills and experience in data manipulation. Leadership capability - able to manage projects, influence stakeholders, and drive continuous improvement. Excellent More ❯

and operationalise RAG systems. Support Experimentation and Prototyping : Contribute to flexible data systems that enable rapid experimentation and smooth transitions from prototype to production. Automate and Optimise Workflows : Streamline ETL processes, reduce manual overhead, and improve the performance and reliability of data operations. Ensure Data Quality and Monitoring : Implement validation frameworks, monitoring tools, and alerting systems to maintain high data More ❯

Deep technical knowledge of database development, design and migration Experience of deployment in cloud using Terraform or CloudFormation Automation or Scripting experience using languages such as Python & Bash etc. ETL and workflow management knowledge Experience of Agile methodologies Experience in the Financial Services Sector Data Engineering or Data Science experience Job responsibilities Interface with client project sponsors to gather, assess … and principles from the AWS Well-Architected Framework Assess, document and translate goals, objectives, problem statements, etc. to offshore/onshore management teams Advise on database performance, altering the ETL process, providing SQL transformations, discussing API integration, and deriving business and technical KPIs Guide the transition of solutions into the hands of the client, providing documentation to operate and maintain More ❯