1 to 25 of 69 ETL Development Jobs in England

and numerous system integrations. This role requires strong technical proficiency and a deep understanding of data engineering and data warehousing principles and practices. You will be critical in the development and support of the new Evelyn Data Platform, which is being engineered on Snowflake, utilising Azure Data Factory pipelines for data integration, dbt for data modelling, Azure BLOB Storage … Extensive use of and fully conversant in SQL. • Experience working with programming languages like C#, Python, Java, Spark. • Create and maintain ETL/ELT processes to extract, transform, and load data from various sources into the data platforms. • Design, develop, and deploy SSIS packages and ADF pipelines. • Manage and troubleshoot SSIS packages and ADF pipelines, ensuring data integrity and … plus. Non-Technical • Strong coaching and mentoring skills • Calm under pressure and keen to highlight others' successes. • Business Analysis skills to derive requirements from business stakeholders. • Strong ability to extract information by questioning, active listening, and interviewing. • Ability to quickly assimilate and understand business processes and information flow. • Highly numerate with strong analytical and problem-solving skills. • Ability to work More ❯

this through an empathetic and customer-centric approach that is at the heart of our success. The Role To support our ambitious growth agenda, Perch Group is expanding its development team and seeks a Senior Data Engineer. This permanent role will lead a squad focused on delivering robust data solutions across our five businesses. You will leverage your deep … with business priorities Data Architecture & Design: Architect and implement robust designs, ensuring optimal performance, scalability, and security Translate high-level solution designs into detailed technical specifications, including data models, ETL processes, and database schemas Establish and enforce data modelling best practices, promoting data integrity and consistency across all platforms ETL Development & Optimization: Develop and optimize complex ETL pipelines for diverse data sources (on-premise and cloud-based), utilizing best practices for data extraction, transformation, and loading Implement data quality checks and validation processes within ETL pipelines, ensuring data accuracy and reliability Optimize ETL performance for speed and efficiency, addressing bottlenecks and improving data processing times Data Platform Management & Governance: Maintain and enhance the company More ❯

Engineer role here at Harding+ could be perfect for you. About the role: Harding+ continues to prioritize data-driven strategies. We are seeking a Data Engineer to lead the development, maintenance, support, and integration of our expanding array of data sources into both on-premises SQL data warehouses and modern Lakehouse architectures hosted on Azure. This role is integral … life assurance, healthcare cash plan, 65 days leave annually (including Christmas shutdown) What you will be doing: Data Warehouse Optimisation: Performance Tuning: Analyse, optimise, and refactor existing stored procedures, ETL jobs, and data workflows to improve performance and reduce load times on the current data warehouse Capacity Management: Clean up and enhance the efficiency of the current Power BI … of data jobs to ensure timeliness and reliability, improving operational processes to meet evolving business needs Data Quality & Governance: Implement data quality checks, governance, and performance monitoring for both ETL processes and reporting outputs Operational Support: Provide ongoing support for the existing data platform, responding to and resolving performance issues, data quality concerns, and user queries Migration Leadership & Futureproofing More ❯

and numerous system integrations. This role requires strong technical proficiency and a deep understanding of data engineering and data warehousing principles and practices. You will be critical in the development and support of the new Evelyn Data Platform, which is being engineered on Snowflake, utilising Azure Data Factory pipelines for data integration, dbt for data modelling, Azure BLOB Storage … Extensive use of and fully conversant in SQL. Experience working with programming languages like C#, Python, Java, Spark. Create and maintain ETL/ELT processes to extract, transform, and load data from various sources into the data platforms. Design, develop, and deploy SSIS packages and ADF pipelines. Manage and troubleshoot SSIS packages and ADF pipelines, ensuring data integrity and … Extensive use of and fully conversant in SQL. Experience working with programming languages like C#, Python, Java, Spark. Create and maintain ETL/ELT processes to extract, transform, and load data from various sources into the data platforms. Design, develop, and deploy SSIS packages and ADF pipelines. Manage and troubleshoot SSIS packages and ADF pipelines, ensuring data integrity and More ❯

to building a scalable, data-driven recruitment ecosystem. Through redesigning, building, and rolling out a sophisticated Big Data system, our diverse roles span across architecture, project management, data analytics, development, and technical support, giving you the chance to shape a dynamic, next-gen digital infrastructure. You’ll be integral to our mission of crafting a seamless, powerful platform that … Analyse existing data structures and understand business requirements for data migration. Design and implement robust data migration strategies. Develop scripts and processes to automate data extraction, transformation, and loading (ETL) processes. Work closely with stakeholders, including business users and IT teams, to ensure data requirements are met, and migrations proceed without disruption to business operations. Responsibilities: Plan, coordinate, and … execute data migration projects within set timelines. Design and build ETL solutions, ensuring data quality and integrity throughout the migration process. Troubleshoot and resolve data-related issues promptly to minimise disruption. Collaborate with various teams to align migration processes with organisational goals and regulatory standards. Proficiency in AWS ETL technologies, including Glue, Data Sync, DMS, Step Functions, Redshift More ❯

skilled and motivated Lead Data Engineer to join our growing data team. In this role, you will lead a small team of Data Engineers and Analysts, driving the design, development, and maintenance of scalable, secure, and high-performance data solutions on the Microsoft Azure platform. You will provide hands-on technical leadership while shaping the strategic direction of the … deliver impactful dashboards and reports using Power BI. Provide technical guidance and support, acting as a subject matter expert on Azure data tools and best practices. Develop and maintain ETL processes using SQL, SSIS, and Azure Data Factory. Integrate data from diverse sources including internal databases, APIs, and third-party providers. Monitor and tune performance of data components, ensuring … to support transparency and maintainability. Required Skills & Experience Bachelor’s degree in Computer Science, Information Systems, or a related technical field. 3+ years of experience in data engineering and ETL development. Advanced proficiency in T-SQL, SSIS, and Azure Data Factory. Strong experience with data modelling, performance tuning, and troubleshooting. Proven ability to lead and manage a small technical More ❯

skilled and motivated Lead Data Engineer to join our growing data team. In this role, you will lead a small team of Data Engineers and Analysts, driving the design, development, and maintenance of scalable, secure, and high-performance data solutions on the Microsoft Azure platform. You will provide hands-on technical leadership while shaping the strategic direction of the … deliver impactful dashboards and reports using Power BI. Provide technical guidance and support, acting as a subject matter expert on Azure data tools and best practices. Develop and maintain ETL processes using SQL, SSIS, and Azure Data Factory. Integrate data from diverse sources including internal databases, APIs, and third-party providers. Monitor and tune performance of data components, ensuring … to support transparency and maintainability. Required Skills & Experience Bachelor's degree in Computer Science, Information Systems, or a related technical field. 3+ years of experience in data engineering and ETL development. Advanced proficiency in T-SQL, SSIS, and Azure Data Factory. Strong experience with data modelling, performance tuning, and troubleshooting. Proven ability to lead and manage a small technical More ❯

identifying any risks or challenges related to migration. You’ll also support planning and implementation—making sure no data is lost or overlooked during the transition. Designing and implementing ETL pipelines as part of a large-scale ERP migration. Building a federated, enterprise-wide data model—ensuring accessibility, consistency, and usability. Supporting seamless data migration from legacy systems, ensuring … for data transformation and analysis. Promoting best practices in data compliance, governance, and security. WHAT DO YOU NEED TO BE SUCCESFUL? Proven experience in data engineering, data modelling, and ETL development. Strong hands-on skills with SQL, Python, and Microsoft tools (Azure, Power BI, Power Apps). Previous experience working on similar migration and integration from legacy ERP systems. More ❯

experiences. We meet customers wherever they are in the digital lifecycle and help them outperform their competition through speed and innovation. Apexon combines core competencies in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering, and UX, with deep expertise in BFSI, healthcare, and life sciences, to help businesses capitalize on digital opportunities. Our reputation … a Data Engineer to join our growing team. Role Responsibilities: Translating business requirements into technical specifications for data solutions, including integrations, transformations, warehousing, and reporting. Designing and implementing data ETL pipelines for extracting, transforming, and loading data from various sources. Implementing data governance policies to ensure high data quality. Maintaining documentation related to data processes and quality. Participating in … Data Lake). Database skills (MS SQL Server, MySQL, PostgreSQL, MongoDB, Cassandra). Excellent SQL skills. Skills in data visualization (Power BI). Strong Python programming skills. Understanding of ETL development and data modeling. Effective communication and teamwork skills. Curiosity and eagerness to learn. Preferred: Knowledge of cloud technologies. Practical experience via placement or internship. Azure certifications (DP More ❯

Translating Business requirements to technical solutions and the production of specifications, Designing and implementing business intelligence & modern data analytics platform technical solutions, Data architecture design and implementation Data modelling, ETL, data integration and data migration design and implementation Master data management system and process design and implementation, Data quality system and process design and implementation, Major focus on data … data modelling, data staging, and data extraction processes, including data warehouse and cloud infrastructure. Experience with multi-dimensional design, star schemas, facts and dimensions. Experience and demonstrated competencies in ETL development techniques. Experience in data warehouse performance optimization. Experience on projects across a variety of industry sectors an advantage, Comprehensive understanding of data management best practices including demonstrated … Profit Share scheme divides a portion of our company's profits each quarter amongst employees. We are dedicated to helping our employees reach their full potential, offering Pathways Career Development Quarterly, a programme designed to support professional growth. More ❯

the following: Translating Business requirements to technical solutions and the production of specifications, Designing and implementing business intelligence & modern data analytics platform technical solutions, Data architecture design and implementation ETL, data integration and data migration design and implementation Master data management system and process design and implementation, Data quality system and process design and implementation, Major focus on data … data modelling, data staging, and data extraction processes, including data warehouse and cloud infrastructure. Experience with multi-dimensional design, star schemas, facts and dimensions. Experience and demonstrated competencies in ETL development techniques. Experience in data warehouse performance optimization. Experience on projects across a variety of industry sectors an advantage, Comprehensive understanding of data management best practices including demonstrated … Profit Share scheme divides a portion of our company's profits each quarter amongst employees. We are dedicated to helping our employees reach their full potential, offering Pathways Career Development Quarterly, a programme designed to support professional growth. Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Information Technology Industries IT More ❯

Gold layers), working with modern tools such as Databricks , dbt , Azure Data Factory , and Python/SQL to support critical business analytics and AI/ML initiatives. Key Responsibilities ETL Development : Design and build robust and reusable ETL/ELT pipelines through the Medallion architecture in Databricks . Data Transformation : Create and manage data models and transformations … data manipulation and pipeline development. Hands-on experience implementing and maintaining Medallion Architecture (Bronze/Silver/Gold). Familiarity with CI/CD, Git version control, and agile development methodologies. Strong understanding of data warehousing principles, data modeling, and performance optimization. Experience with cron jobs , job orchestration, and error monitoring tools. Good to have Experience with Azure Bicep More ❯

Translating Business requirements to technical solutions and the production of specifications, Designing and implementing business intelligence & modern data analytics platform technical solutions, Data architecture design and implementation Data modelling, ETL, data integration and data migration design and implementation Master data management system and process design and implementation, Data quality system and process design and implementation, Major focus on data … data modelling, data staging, and data extraction processes, including data warehouse and cloud infrastructure. Experience with multi-dimensional design, star schemas, facts and dimensions. Experience and demonstrated competencies in ETL development techniques. Experience in data warehouse performance optimization. Experience on projects across a variety of industry sectors an advantage, Comprehensive understanding of data management best practices including demonstrated … Profit Share scheme divides a portion of our company's profits each quarter amongst employees. We are dedicated to helping our employees reach their full potential, offering Pathways Career Development Quarterly, a programme designed to support professional growth. Laura Cowan laura.cowan@version1.com Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function More ❯

Essential Core Technical Experience 5 to 10+ years of experience in SQL Server data warehouse or data provisioning architectures. Advanced SQL query writing and stored procedure experience. Experience developing ETL solutions in SQL Server, including SSIS & T-SQL. Experience with Microsoft BI technologies (SQL Server Management Studio, SSIS, SSAS, SSRS). Knowledge of data/system integration and dependency … identification. Proficiency in MS Excel & VBA. Knowledge of Insurance or Banking/Finance domains. Exposure to DW development practices (code & configuration management, build processes). Understanding of data warehouse design patterns (e.g., Data Modelling). Ability to elicit business requirements and collaborate on end-to-end solutions. Supporting Core Technical Experience Experience with Jira, Confluence, MS Teams, or similar More ❯

cutting-edge technology. Role Overview Design, develop, and maintain efficient SQL queries, stored procedures, views, and functions to access and process data from diverse systems. Build and manage reliable ETL pipelines using SQL and SSIS to support enterprise-wide data integration and transformation. Optimize SQL code and ETL workflows to improve performance and scalability. Develop and maintain SSIS … Mathematics, or Economics. At least 5 years' experience in SQL development. Advanced skills in writing complex SQL, stored procedures, and performance tuning. Solid hands-on experience with SSIS and ETL development. Knowledge of BI/reporting tools (e.g., Power BI, Tableau, SSRS, SSAS) is advantageous. Strong analytical and problem-solving abilities. Experience in fast-paced, agile environments with a More ❯

or more customer analytics product teams. We seek passionate testers with expertise Leading team, designing, developing, and maintaining data quality solutions. The ideal candidate should have strong expertise in ETL framework testing (preferably Talend or DataStage), BI report testing (preferably Power BI, Cognos), cloud technologies (preferably Azure, Databricks), SQL/PLSQL coding, and Unix/Python scripting. Key Responsibilities … strategy, roadmaps, and execution plans to ensure successful project deliveries. Drive continuous improvements in test processes, frameworks, and team efficiency. Define and implement a comprehensive test automation strategy for ETL, BI, and data integration solutions. Design and develop automated data quality tests to ensure data integrity across multiple sources, including file-based, API, streaming, and cloud-to-cloud data … and regression testing. Perform data validation using advanced SQL, stored procedures, and database design principles. Utilize Unix/Python scripting for data validation, and process automation. Contribute to developing ETL solutions using tools like Talend or DataStage OR building stored procedures, scheduling workflows, and integrating data pipelines. Additionally, develop BI reports using tools like Power BI or Cognos. Implement More ❯

warehousing Proven experience of data engineering activities such as release management, environment controls, CICD pipeline orchestration Experience working with Python and Power BI Proven ability of Microsoft BI software development including database/reporting development, full development cycle Strong data modelling, problem solving, information analysis, attention to detail, flexibility of approach The ability to deal directly with … Microsoft Technology stack for data ingestion, transformation & storage, and Power BI for analytics and reporting. The role includes: Data Support : Acting as a Subject Matter Expert in Data, managing ETL/ELT pipelines, peer/code reviews, ensuring data integrity and accuracy. Data Warehousing : Managing data warehousing solutions, designing and developing ETL/ELT processes, data lakes, data … marts, reports, and dashboards. MI Development and Maintenance : Developing and maintaining Management Information, gathering requirements, developing reports, and supporting their deployment. Data Validation : Developing validation checks for data entry based on business rules, ensuring compliance with Solvency II, Sox, and business needs. Data Governance : Supporting data governance policies, managing data in line with regulatory requirements, and ensuring transparency of More ❯

rapid change as we set out to deliver our new growth strategy. Job Summary: We are seeking a highly skilled Data Warehouse Engineer with proven experience in data modelling, ETL development, and Power BI reporting to join our growing Data & Analytics team. The ideal candidate will play a key role in designing, developing, and maintaining our enterprise data … support data-driven decision-making across the organisation. Key Responsibilities: Design, develop, and maintain scalable data warehouse architecture and solutions to consolidate data from multiple sources. Build and optimise ETL pipelines using modern tools, automation and best practices. Develop and maintain dashboards, visualisations, and reports using Power BI. Collaborate with business stakeholders to gather requirements, translate them into data … drive predictive analytics. Participate in data governance and contribute to the continuous improvement of data architecture and standards. Required Skills and Qualifications: 3+ years of experience in data warehousing, ETL development, and business intelligence reporting. Strong experience with Power BI, including DAX, Power Query, and dashboard development. Proficiency in SQL and data modelling techniques. Strong analytical and problem More ❯

a Data Warehouse Engineer , you will have the following responsibilities: Design, develop, and maintain scalable data warehouse architecture and solutions to consolidate data from multiple sources. Build and optimize ETL pipelines using modern tools, automation and best practices. Develop and maintain dashboards, visualizations, and reports using Power BI. Collaborate with business stakeholders to gather requirements, translate them into data … contribute to the continuous improvement of data architecture and standards. THE CANDIDATE The ideal Data Warehouse Engineer will possess the following skills: 2+ years of experience in data warehousing, ETL development, and business intelligence reporting. Strong experience with Power BI, including DAX, Power Query, and dashboard development. Proficiency in SQL and data modelling techniques. Strong analytical and problem … solving skills with an ability to work in agile development environment independently. Experience with data warehouse platforms (e.g., Snowflake, Azure Synapse, Redshift, BigQuery, or similar). Ability to work independently and manage multiple projects simultaneously. Excellent communication and collaboration skills. THE BENEFITS As a Data Warehouse Engineer , you will receive the following benefits: Paid volunteer day. Onsite gym. Ongoing More ❯

based data services . You will be responsible for designing, building, and maintaining data pipelines to support enterprise data warehousing, analytics, and reporting solutions. Key Responsibilities Design and develop ETL/ELT workflows using Informatica to support data integration and transformation needs. Work with large-scale structured and unstructured data from various sources including on-premise and cloud platforms. … Architects, Data Analysts, and BI developers to understand data requirements and deliver solutions. Ensure data quality, consistency, and governance across platforms. Implement error handling, logging, and performance tuning for ETL jobs. Support production deployments, monitoring, and incident resolution. Required Skills and Experience 5+ years of experience in ETL development using Informatica (PowerCenter and/or IICS). … . Excellent problem-solving, debugging, and performance tuning skills. Preferred Qualifications AWS Certification (e.g., AWS Certified Data Analytics – Specialty , AWS Certified Solutions Architect – Associate ). Experience migrating on-premise ETL processes to the cloud. Knowledge of Informatica Cloud integrations with AWS. Exposure to DevOps and Infrastructure as Code (e.g., Terraform, CloudFormation). Competitive salary and performance-based bonus structure. More ❯

concepts into clear, actionable insights. Collaborate cross-functionally to align data strategy with business objectives. Requirements What we're looking for? 2-3+ years experience in Data Engineering, ETL Development, or Database Administration. Prior experience working with business intelligence, analytics, or machine learning teams. Experience in cloud-native data solutions and real-time data processing. Proficiency in … Python, SQL (for ETL & data transformation). Knowledge of GDPR, data security best practices, and access control policies Strong problem-solving and analytical skills to optimise data processes. Excellent collaboration and communication skills to work with cross-functional teams. Ability to translate business requirements into technical solutions. Strong attention to detail and commitment to data quality. Thomas Assess - How More ❯

impact for clients. Our environment supports your career development and values your unique skills and experience. We Offer Opportunities for regular promotion and career progression Continuous feedback and development checkpoints Various training options, including classroom, e-learning, mentoring, and certifications Diversity & Inclusion initiatives embedded in our culture A culture welcoming ideas for growth and innovation Recognition programs for … to ensure data integrity, security, and compliance with public sector regulations. Preferred Education Bachelor's Degree in a relevant field Responsibilities Design, build, and maintain scalable data pipelines and ETL processes Collaborate with data scientists and engineers on data integration Ensure data quality, accuracy, and reliability through testing and validation Develop data storage solutions, including modeling and schema design … Provide technical support for data issues Stay updated with industry trends and emerging technologies Required Technical and Professional Expertise Experience in data pipeline and ETL development Collaboration with data teams Data quality assurance Data modeling and storage solutions Technical support and troubleshooting Knowledge of Java, Python, Elasticsearch, SQL Understanding of data security and cryptography basics Analytical and problem More ❯

client-facing environments. Responsibilities typically include: Translating business requirements into technical solutions and specifications Designing and implementing business intelligence and modern data analytics platforms Data architecture design and implementation ETL, data integration, and migration design and implementation Master data management system and process design and implementation Data quality system and process design and implementation Focus on data science, visualization … design, and deployment Experience with business intelligence tools, data modeling, staging, extraction, data warehouse, and cloud infrastructure Knowledge of multi-dimensional design, star schemas, facts, and dimensions Proficiency in ETL development techniques Experience optimizing data warehouse performance Experience across various industry sectors is a plus Understanding of data management best practices, including profiling, sourcing, and cleansing routines with … and life insurance, free eye tests, and certification incentives (AWS, Microsoft, Oracle, Red Hat). Our Profit Share scheme distributes quarterly company profits among employees, and our Pathways Career Development program supports professional growth. #J-18808-Ljbffr More ❯

technical concepts into clear, actionable insights. ● Collaborate cross-functionally to align data strategy with business objectives. What we are looking for: ● 2-3+ years experience in Data Engineering, ETL Development, or Database Administration. ● Prior experience working with business intelligence, analytics, or machine learning teams. ● Experience in cloud-native data solutions and real-time data processing. ● Proficiency in … Databricks, Python, SQL (for ETL & data transformation). ● Knowledge of GDPR, data security best practices, and access control policies ● Strong problem-solving and analytical skills to optimise data processes. ● Excellent collaboration and communication skills to work with cross-functional teams. ● Ability to translate business requirements into technical solutions. ● Strong attention to detail and commitment to data quality. More ❯

translating technical concepts into clear, actionable insights. Collaborate cross-functionally to align data strategy with business objectives. What we're looking for: 3+ years of experience in Data Engineering, ETL Development, or Database Administration. Prior experience working with business intelligence, analytics, or machine learning teams. Experience in cloud-native data solutions and real-time data processing. Proficiency in … Databricks, Python, SQL (for ETL & data transformation). Knowledge of GDPR, data security best practices, and access control policies. Strong problem-solving and analytical skills to optimize data processes. Excellent collaboration and communication skills to work with cross-functional teams. Ability to translate business requirements into technical solutions. Strong attention to detail and commitment to data quality. Candidates must More ❯