151 to 175 of 381 ETL Jobs in the UK

based data processing). Strong knowledge of Azure Data Platform (Data Lake, Synapse, etc.). Proficiency in Python and SQL for data engineering tasks. Understanding of data architecture and ETL processes. Ability to work independently in a remote environment. Nice-to-Have Experience with CI/CD pipelines for data solutions. Familiarity with Delta Lake and ML pipelines . Start More ❯

based data processing). Strong knowledge of Azure Data Platform (Data Lake, Synapse, etc.). Proficiency in Python and SQL for data engineering tasks. Understanding of data architecture and ETL processes. Ability to work independently in a remote environment. Nice-to-Have Experience with CI/CD pipelines for data solutions. Familiarity with Delta Lake and ML pipelines . Start More ❯

and problem-solving skills, and a willingness to learn. A degree in Computer Science, Engineering, or a related field. Nice-to-haves: Exposure to data engineering concepts such as ETL processes or integration pipelines. Experience with low-code development (Power Platform, Outsystems, Mendix). Interest in automation, data visualization, or digital transformation projects. Package & Benefits: Salary up to More ❯

Key Responsibilities Develop and maintain conceptual, logical, and physical data models Work with stakeholders to gather and interpret data requirements Support metadata management, documentation, and governance activities Contribute to ETL design and data movement between systems Gain hands-on experience with modelling tools such as ERWin, Sparx, or RSA Your Skills and Experience 2-4 years of experience in data More ❯

making. Work with internal teams to understand requirements and deliver tailored solutions. Maintain and improve existing systems, ensuring scalability, security, and performance. Integrate data from multiple sources and build ETL processes where required. Contribute to IT strategy by recommending new tools, approaches, and technologies. Provide technical support and documentation for developed systems. Key Skills & Experience: Strong experience with C#/ More ❯

Your Skills and Experience 5+ years' experience across Data Engineering, BI or Data Operations Strong hands-on experience with AWS , Airflow , and Power BI Solid understanding of data pipelines, ETL, and debugging within cloud environments Strong problem-solving and stakeholder management skills Experience managing or working with offshore teams A proactive mindset with a passion for automation and operational efficiency More ❯

ticket backlogs effectively at speed is required. Strong communication and organisational skills are essential with knowledge of dbt also being required as Senior Ops/App Support Engineer. Strong ETL, SQL and Data as well as analytics are essential as Senior Ops/App Support Engineer as is in depth knowledge to resolve technical issues (with MuleSoft, Alteryx, Power BI More ❯

to ensure cost-efficient, high-performing workloads. Implement data quality, lineage tracking, and access control policies aligned with Databricks Unity Catalogue and governance best practices. Develop PySpark applications for ETL, data transformation, and analytics, following modular and reusable design principles. Create and manage Delta Lake tables with ACID compliance, schema evolution, and time travel for versioned data management. Integrate Databricks More ❯

to ensure cost-efficient, high-performing workloads. Implement data quality, lineage tracking, and access control policies aligned with Databricks Unity Catalogue and governance best practices. Develop PySpark applications for ETL, data transformation, and analytics, following modular and reusable design principles. Create and manage Delta Lake tables with ACID compliance, schema evolution, and time travel for versioned data management. Integrate Databricks More ❯

skills to interpret trends and patterns in data. Proficiency in database languages. Attention to detail and excellent organizational skills Technical Skills required Familiarity with the building and deployment of ETL process through Azure Data Factory. Basic understanding of Azure Fabric and appropriate implementation. Familiarity with the management and use cases of Azure Data Lake Storage. Familiarity with the development of More ❯

field and/or statistical background. Technical requirements: Proficient in SQL?and hands-on coding experience with Python for Data Analytics Experience with setting up and automating data pipelines, ETL processes, etc Proficiency in using data visualization tools such as PowerBI or Tableau In-depth experience with Adobe Analytics or Google Analytics Expert at designing, running and interpreting AB tests. More ❯

with senior stakeholders. Architect & Build Scalable Data Solutions Collaborate closely with senior product stakeholders to understand data needs and architect end-to-end ingestion pipelines Design and build robust ETL/ELT processes and data architectures using modern tools and techniques Lead database design, data modelling, and integration strategies to support analytics at scale Drive Data Integration & Management Design and … of software engineering best practices - code reviews, testing frameworks, CI/CD, and code maintainability Experience deploying applications into production environments, including packaging, monitoring, and release management Ability to extract insights from complex and disparate data sets and communicate clearly with stakeholders Hands-on experience with cloud platforms such as AWS, Azure, or GCP Familiarity with traditional ETL tools (e.g. More ❯

modern cloud-based platforms , managing APIs for seamless data exchange , and ensuring data quality, security, and reliability across all systems. Youll play a key role in developing and optimising ETL pipelines , automating data workflows , and supporting integration between core business systems such as Microsoft Dynamics . Strong hands-on experience with Azure, SQL, and Python-based data engineering is essential. … strategy of a dynamic, technology-focused business. What Youll Be Doing Lead and deliver data migration projects from legacy systems to modern, cloud-based environments. Design, develop, and optimise ETL pipelines and automated data workflows. Collaborate across IT and business functions to define data requirements and deliver efficient solutions. Manage and maintain data integrations and APIs for seamless information flow … projects , ideally with ERP/CRM systems such as Microsoft Dynamics . Strong technical skills in Python , including libraries such as Pandas and NumPy . Hands-on experience with ETL design, data warehousing, and relational databases (SQL). Advanced proficiency in SQL and data modelling techniques. Knowledge of cloud data platforms (Azure preferred, AWS or GCP also considered). Experience More ❯

high-quality data products, this role offers significant technical growth and hands-on experience. Responsibilities Supporting the migration of data pipelines from Netezza to Snowflake. Building reliable ELT/ETL processes, API integrations, and automated workflows (Workato). Developing and maintaining data models that support BI and analytics use cases. Ensuring data quality through cleansing, validation, and testing. Troubleshooting data … can trust. Contributing to the establishment of new in-house data engineering standards. Learning from and supporting the new Data Engineering Lead, Linda. Skills & Experience Experience in data engineering, ETL/ELT development, or data warehousing. Strong SQL skills and experience with Snowflake, Netezza, or similar DW platforms. Understanding of data modelling and pipeline design. Ability to articulate technical concepts More ❯

high-quality data products, this role offers significant technical growth and hands-on experience. Responsibilities Supporting the migration of data pipelines from Netezza to Snowflake. Building reliable ELT/ETL processes, API integrations, and automated workflows (Workato). Developing and maintaining data models that support BI and analytics use cases. Ensuring data quality through cleansing, validation, and testing. Troubleshooting data … can trust. Contributing to the establishment of new in-house data engineering standards. Learning from and supporting the new Data Engineering Lead, Linda. Skills & Experience Experience in data engineering, ETL/ELT development, or data warehousing. Strong SQL skills and experience with Snowflake, Netezza, or similar DW platforms. Understanding of data modelling and pipeline design. Ability to articulate technical concepts More ❯

or similar modeling tools. Working knowledge of TOGAF, LeanIX, or enterprise architecture frameworks. Understanding of Master Data Management (MDM), data catalogs (e.g., Atlan), and data quality frameworks. Experience in ETL pipeline development (Matillion preferred) and Agile/Scrum environments. Knowledge of CI/CD pipelines, versioning (Bitbucket), and automated testing tools. Awareness of AI and Machine Learning integration concepts, including More ❯

and scalability. Work cross-functionally to deliver clean, secure, and maintainable code. Requirements Strong professional experience with Python. Experience with FastAPI or similar modern frameworks. Background in data integration, ETL workflows, or service-to-service data flows. Good understanding of Back End architecture, API design, and distributed systems. Exposure to C++ environments is beneficial but not required. SC clearable. Desirable More ❯

business decision-making. Skills & Experience Proven experience with SAP Business Objects (Data Services and Information Design Tool). Strong SQL skills (ideally MySQL; Redshift experience advantageous). Experience developing ETL processes from multiple data sources. Background in dashboard design and data visualisation. Excellent communication and analytical skills. Minimum of three years’ experience in a similar Reporting Developer or BI-focused More ❯

Lead initiatives to improve data quality, including profiling, cleansing, monitoring, and remediation strategies. Provide architectural guidance on MDM platform selection, cloud vs. on-prem deployment, and integration patterns (API, ETL, messaging). Support metadata management, lineage tracking, and compliance initiatives. Skills & Experience Required: Hands-on experience with more than one MDM technology/platform (e.g., Riversand, Informatica MDM, Semarchy, TIBCO More ❯

in Microsoft Office skills, including Outlook, Word, Excel and PowerPoint and other applications such as Microsoft 365, SharePoint, Teams and OneDrive. Power Apps and Power Automate experience. Experience in ETL tools, such as SSIS. Business Central experience. Good knowledge and Development experience of MS SQL. Experience in creating UAT scripts. Technical writing experience with the ability to present technical information More ❯

analytical capabilities What you'll bring Strong SQL (day-to-day level) Python exposure (nice to have) Experience with BI tools (Looker/PowerBI/Tableau) Comfort working with ETL workflows Strong communicator with commercial awareness Confident presenting to non-technical stakeholders Why apply? Up to £65k base 1 day a week in a central London office Exceptional benefits If More ❯

practices. Skills and Experience Required: Proven experience with SAP Business Objects (Data Services and Information Design Tool). Strong SQL skills (ideally MySQL; Redshift experience advantageous). Experience developing ETL processes from multiple data sources. Background in dashboard design and data visualisation. Excellent communication and analytical skills. Minimum of three years’ experience in a similar Reporting Developer or BI-focused More ❯

Lead initiatives to improve data quality , including profiling, cleansing, monitoring, and remediation strategies. Provide architectural guidance on MDM platform selection , cloud vs. on-prem deployment , and integration patterns (API, ETL, messaging). Support metadata management , lineage tracking , and compliance initiatives. Excellent communication and stakeholder management skills. Experience in multi-domain MDM (Customer, Supplier, Location, etc.) is a strong plus. Knowledge More ❯

with SAP Business Objects (Data Services and Information Design Tool). Mortgages or secured credit sector experience essential Strong SQL skills (ideally MySQL; Redshift experience advantageous). Experience developing ETL processes from multiple data sources. Background in dashboard design and data visualisation. Excellent communication and analytical skills. Minimum of three years’ experience in a similar Reporting Developer or BI-focused More ❯

CD/HLD/LLD/DFD. Essential Skills & Experience Proven experience designing and owning system architecture for large-scale compliance or AML platforms Strong background building and optimising ETL/ELT data pipelines handling high-volume financial data Hands-on expertise with microservices, APIs and event-driven systems (e.g., Kafka) Ability to translate AML regulatory requirements (KYC, CDD, CRR More ❯