76 to 100 of 433 ETL Jobs in England

scalable. Create and manage database schemas, tables, stored procedures, indexes, and triggers. Ensuring high availability of databases through clustering, replication, and other techniques. Implement and maintain data pipelines and ETL processes for real-time and batch data ingestion. Monitor database performance and proactively address issues related to tuning and optimization. Ensure data security, privacy, integrity, and compliance with internal and More ❯

to trying new things and explore better ways of working. It's a mega opportunity to join and make a difference! You'll be helping to design and manage ETL/ELT pipelines, making sure data flows smoothly and reliably across the business. You'll also get hands-on with tools like Datadog or CloudWatch to monitor performance and keep More ❯

to trying new things and explore better ways of working. It's a mega opportunity to join and make a difference! You'll be helping to design and manage ETL/ELT pipelines, making sure data flows smoothly and reliably across the business. You'll also get hands-on with tools like Datadog or CloudWatch to monitor performance and keep More ❯

complex data issues and performance bottlenecks. Key Skills & Experience: SAS 9.4 (DI), SAS Viya 3.x (SAS Studio, VA, VI). Platform LSF, Jira, Platform Support. GIT. Strong expertise in ETL tools: Pentaho, Talend. Experience with data virtualization using Denodo. Proficiency in SAS for data analytics and reporting. Oracle (good to have). Solid understanding of Agile and Scrum frameworks. Hands More ❯

SAP Data Services, SAP HANA, SAP BW, Datasphere, and SAP Analytics Cloud. Experience in SAP Cloud Platform. Expertise in DSP frameworks and SAC architecture for data integration. Skilled in ETL processes, data modeling, and data validation. Programming knowledge in at least one language: Python/SQL/Java. Hands-on and "can do" attitude. Excellent leadership, communication, and stakeholder management More ❯

within the acute healthcare sector. Along with advanced technical and analytical skills, experience of designing and delivering large, enterprise-wide relationalmodelling and analytical solutions is critical. Knowledge of SQL, ETL, modelling, data science, andvisualisations platforms is essential. Main duties of the job This is a senior developer role, leading in the development, maintenance, and continued improvement of the Trust data More ❯

Lead the design and execution of scalable data storage solutions, including databases, data warehouses, and data lakes, ensuring efficient handling of large data volumes. Oversee development and optimisation of ETL pipelines for effective data extraction, transformation, and loading from diverse sources. Establish and manage data schemas, models, and dictionaries to promote data governance and ensure consistency across the organisation. Develop … data pipelines. Previous experience managing a team Experience with big data processing frameworks and technologies. Experience with data modelling and designing efficient data structures. Experience with data integration and ETL (Extract, Transform, Load) processes. Experience in data cleansing, validation, and enrichment processes. Strong programming skills in languages such as Python, Java, or Scala. Knowledge of data warehousing concepts and dimensional … modelling. Understanding of data security, privacy, and compliance requirements Proficiency in data integration and ETL tools Strong analytical skills and the ability to understand complex data structures. Capable of identifying data quality issues, troubleshooting problems, and implementing effective solutions. Disclosure and Barring Service Check This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such More ❯

tools, ideally on Google Cloud Platform. Hands-on experience with BigQuery and data transformation frameworks such as Dataform or DBT is essential. A strong background in SQL (particularly PostgreSQL), ETL/ELT processes, and working with large datasets is required. Experience integrating and preparing data for business intelligence tools like Tableau is also necessary. Familiarity with CI/CD practices More ❯

migrated data Desirable experience: Azure data certifications Azure Synapse: Synapse-link, on-demand SQL engine, dedicated SQL pool Writing unit tests, git Version control Awareness of reliability patterns in ETL pipelines Use of python in Jupyter notebooks for data processing Azure storage technologies and cost/performance characteristics Power BI, DAX, data flows Techniques and tools for sanitizing data prior More ❯

Key skills: Strong experience with AWS data services (S3, Redshift, Glue, Lambda, Lake Formation, CloudFormation). Proficiency in SQL, Python (Pandas), Spark or Iceberg. Experience with data warehouse design, ETL/ELT, and CI/CD pipelines (GitHub, CodeBuild). Knowledge of infrastructure as code, performance tuning, and data migration. Exposure to DBT, Docker, or Microsoft BI stack is a More ❯

Key skills: Strong experience with AWS data services (S3, Redshift, Glue, Lambda, Lake Formation, CloudFormation). Proficiency in SQL, Python (Pandas), Spark or Iceberg. Experience with data warehouse design, ETL/ELT, and CI/CD pipelines (GitHub, CodeBuild). Knowledge of infrastructure as code, performance tuning, and data migration. Exposure to DBT, Docker, or Microsoft BI stack is a More ❯

complex business problems and designing workable technical solutions. Excellent knowledge of the SDLC, including testing and delivery in an agile environment. Excellent knowledge of SQL (SQL Performance Tuning) and ETL Experience of data warehousing and data lake solutions. Experience working in an Agile environment. This is an excellent opportunity to join a company as it continues to grow and expand More ❯

Role As a Data Engineer, you'll play a pivotal role in shaping the data infrastructure. Your responsibilities will include: Building and Maintaining Data Pipelines: Design and implement scalable ETL processes to integrate data into our mobile and web applications, as well as internal dashboards. Data Architecture Design: Develop and optimise data storage, retrieval, and processing systems to ensure efficiency More ❯

collaboratively across the business you’ll ensure their data is high-quality, accessible, and compliant with governance and cybersecurity standards.Key Responsibilities • Design, build, and maintain efficient data pipelines and ETL workflows.• Develop and optimise relational and non-relational database systems.• Collaborate with analysts, researchers, and IT teams to deliver tailored data solutions.• Implement and maintain data governance and metadata frameworks. More ❯

of algorithmic thinking and performance optimisation. Proficiency with SQL and NoSQL databases such as PostgreSQL and Cassandra. Experience with systems like Kafka or RabbitMQ. Ability to build and manage ETL pipelines using tools like Airflow. This role is an urgent requirement. There are limited interview slots left. If interested, send an up-to-date CV to Shoaib Khan - or call More ❯

of algorithmic thinking and performance optimisation. Proficiency with SQL and NoSQL databases such as PostgreSQL and Cassandra. Experience with systems like Kafka or RabbitMQ. Ability to build and manage ETL pipelines using tools like Airflow. This role is an urgent requirement. There are limited interview slots left. If interested, send an up-to-date CV to Shoaib Khan - (url removed More ❯

in a highly skilled, collaborative environment with access to end-to-end business data. You'll: Lead the design and implementation of data warehousing solutions Develop robust data models, ETL pipelines, and data integration processes Take end-to-end ownership of demand delivery Provide technical mentorship and support (2nd/3rd line) Collaborate with business partners, data scientists, and report More ❯

resolve complex data issues and performance bottlenecks. Key Skills: SAS 9.4 (DI), SAS Viya 3.x (SAS Studio, VA, VI). Platform LSF, Jira, Platform Support. GIT. Strong expertise in ETL tools: Pentaho, Talend. Experience with data virtualization using Denodo. Proficiency in SAS for data analytics and reporting. Oracle (good to have). Solid understanding of Agile and Scrum frameworks. Hands More ❯

ll Be Doing: Leading cross-functional teams of architects, engineers, and analysts to design and deliver scalable, modern data solutions Architecting robust cloud-native data platforms using modern RDBMS, ETL/ELT, and streaming tech Engaging stakeholders and owning the technical vision across full project lifecycles Shaping product-led data strategies using Data Mesh, Data Fabric, and event-driven patterns More ❯

data flows, mappings, and processes. What You'll Bring Technical Skills: Strong SQL expertise for querying, analysis, and troubleshooting within Snowflake. Hands-on experience with Snowflake environments Understanding of ETL/ELT processes to support data integration into Snowflake. Business & Analytical Skills: Experience capturing and translating stakeholder requirements into actionable data specifications. Analytical mindset with attention to detail and a More ❯

Infor Syteline). Solid understanding of ERP (Enterprise Resource Planning) concepts and functionalities. Strong understanding of business processes in finance, supply chain, or manufacturing domains. Experience with data migration, ETL processes, and API integrations. Experience with SQL, scripting languages, and data integration tools. Excellent analytical and problem-solving skills, with an eye for detail. Exceptional communication and interpersonal abilities, capable More ❯

best practices. * Proficiency in SAP Data Services, SAP HANA, SAP BW, and SAP Analytics cloud. * Experience in SAP cloud platform. * Expertise in SAC architecture for data integration. * Skilled in ETL processes, data modelling, and data validation. * Any 1 Programming knowledge: [Python/SQL/Java]. * Hands on and 'can do' attitude * Excellent leadership, communication, and stakeholder management skills. * Good More ❯

SAP Data Services, SAP HANA, SAP BW, Datasphere and SAP Analytics cloud. * Experience in SAP cloud platform. * Expertise in DSP frameworks and SAC architecture for data integration. * Skilled in ETL processes, data modeling, and data validation. * Any 1 Programming knowledge: [Python/SQL/Java]. * Hands on and 'can do' attitude * Excellent leadership, communication, and stakeholder management skills. * Good More ❯

members through technical guidance. Collaborate with stakeholders to deliver user-centric solutions. About the Candidate The ideal candidate will possess the following: Strong understanding of data warehousing, ELT/ETL processes, and data modelling. Proficiency in Azure, Snowflake, and DBT. Experience in application modernisation and migration. Ability to produce clean, testable, maintainable code. CI/CD pipeline implementation and test More ❯

and communication skills Knowledge of BI tools and data governance frameworks Experience of business case development and options appraisal analysis Familiarity with Data & BI concepts such as Data Warehousing, ETL processes, and dashboard/reporting tools (ideally Power BI and Microsoft SQL/Azure A solid understanding of project governance and lifecycle documentation Ideally, you will be a collaborative team More ❯