301 to 325 of 755 ETL Jobs in England

various data modelling techniques and tools. Deep understanding of different data storage solutions (e.g., relational, NoSQL, data lakes) and their appropriate use cases. Strong knowledge of data integration patterns, ETL/ELT processes, and data pipeline orchestration. Experience with AWS data platforms and their respective data services. Solid understanding of data governance principles, including data quality, metadata management, and access More ❯

various data modelling techniques and tools. Deep understanding of different data storage solutions (e.g., relational, NoSQL, data lakes) and their appropriate use cases. Strong knowledge of data integration patterns, ETL/ELT processes, and data pipeline orchestration. Experience with AWS data platforms and their respective data services. Solid understanding of data governance principles, including data quality, metadata management, and access More ❯

hoc data requests and provide technical expertise to stakeholders. Profile A successful Data Engineer should have: Proven experience with data engineering tools and technologies. Strong knowledge of database systems, ETL processes, and data modelling. Proficiency in programming languages such as Python, SQL, or similar. Experience with cloud-based data platforms and services. Ability to work collaboratively in a team environment More ❯

tools and dashboards to communicate key partner data Handle and scope new data requirements from external partners Investigate and resolve data issues (e.g., product availability errors) Build and manage ETL pipelines and APIs to improve data delivery and accuracy Contribute to the overall data strategy alongside BI and analytics colleagues Tech You’ll Use SQL Python Databricks Experience with web More ❯

tools and dashboards to communicate key partner data Handle and scope new data requirements from external partners Investigate and resolve data issues (e.g., product availability errors) Build and manage ETL pipelines and APIs to improve data delivery and accuracy Contribute to the overall data strategy alongside BI and analytics colleagues Tech You’ll Use SQL Python Databricks Experience with web More ❯

tools and dashboards to communicate key partner data Handle and scope new data requirements from external partners Investigate and resolve data issues (e.g., product availability errors) Build and manage ETL pipelines and APIs to improve data delivery and accuracy Contribute to the overall data strategy alongside BI and analytics colleagues Tech You’ll Use SQL Python Databricks Experience with web More ❯

Design end-to-end technical solutions integrating infrastructure and data components Architect virtualized infrastructure solutions and data integration strategies Create architectural documentation, diagrams, and technical specifications Design data pipelines, ETL processes, and BI solutions Provide technical guidance to development and infrastructure teams Engage with stakeholders to translate business requirements into technical solutions Essential Skills & Experience SQL: Advanced database design, optimization More ❯

please note this is not a typical Data Engineering role. 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-on More ❯

play a key role in developing and delivering advanced AI solutions for a Government client . Responsibilities include: Designing, building, and maintaining data processing pipelines using Apache Spark Implementing ETL/ELT workflows for large-scale data sets Developing and optimising Python-based data ingestion tools Collaborating on the design and deployment of machine learning models Ensuring data quality, integrity 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 ❯

predictive modeling, AI/ML, clustering, segmentation, and statistical analysis . Requirements: Strong SQL skills. Experience with BI tools such as Looker, Tableau, or equivalent. Knowledge of data warehousing, ETL systems , or modern equivalents like DBT. Proven ability to communicate insights to stakeholders and drive action. Strong problem-solving skills and ability to explain complex concepts simply. Adaptable, quick to More ❯

presentation & people management skills. Excellent client relationship management, team building skills, strong analytical, problem solving and organizational abilities. Technical Skills Power BI (Must) Tableau (preferred) Data Analysis, Migration/ETL Testing (Must) Web application Testing (Must) API testing experience (Preferred), SOAP UI/Postman - Preferred Experience in Scrum/Agile methodologies. Expertise in Jira Basic understanding automation testing processes & tools More ❯

blend of the following: Excellent understanding of AWS Data Platforms, with services such as AWS Glue, S3, Lambda, Redshift, etc. Good understanding of management principles for data pipelines and ETL Good Python and PySpark Use of SQL Data platforms If you have experience migrating from an on-premise to cloud based solution this would be a bonus Excellent cross-team More ❯

Cloud flows, RPA) Dataverse (Advanced schema design, entity relationships, security roles) Microsoft 365: Integration with SharePoint, Teams, Exchange SQL: Complex queries and stored procedures Performance tuning and query optimisation ETL processes, data migration, and database design (desirable) Additional Skills: API integration Azure DevOps Application Lifecycle Management Workflow design (e.g., Visio) UX/UI principles .NET (beneficial but not essential) Soft More ❯

Strong problem-solving and troubleshooting skills. Comfortable working in a remote, fast-paced environment. Desirable Skills: Experience working with other BI tools and technologies. Familiarity with data warehousing and ETL processes. Knowledge of DevOps practices in a BI context is a plus. If you are looking for a flexible, remote role where you can apply your Power BI and SQL More ❯

internal customers. What we're looking for from you: SQL technologies skills (e.g. MS SQL, Oracle...) noSQL technologies skills (e.g. MongoDB, InfluxDB, Neo4J...) Data exchange and processing skills (e.g. ETL, ESB, API...) Development (e.g. Python) skills Big data technologies knowledge (e.g. Hadoop stack) Knowledge in NLP (Natural Language Processing) Knowledge in OCR (Object Character Recognition) Knowledge in Generative AI (Artificial More ❯

internal customers. What we're looking for from you: SQL technologies skills (e.g. MS SQL, Oracle...) noSQL technologies skills (e.g. MongoDB, InfluxDB, Neo4J...) Data exchange and processing skills (e.g. ETL, ESB, API...) Development (e.g. Python) skills Big data technologies knowledge (e.g. Hadoop stack) Knowledge in NLP (Natural Language Processing) Knowledge in OCR (Object Character Recognition) Knowledge in Generative AI (Artificial More ❯

internal customers. What we're looking for from you: SQL technologies skills (e.g. MS SQL, Oracle...) noSQL technologies skills (e.g. MongoDB, InfluxDB, Neo4J...) Data exchange and processing skills (e.g. ETL, ESB, API...) Development (e.g. Python) skills Big data technologies knowledge (e.g. Hadoop stack) Knowledge in NLP (Natural Language Processing) Knowledge in OCR (Object Character Recognition) Knowledge in Generative AI (Artificial More ❯

shape the future of data. Key Responsibilities: Oversee daily management and maintenance of data systems. Ensure robust data system security and patching. Support the team in producing Data and ETL services. Conduct data analysis, design, and remediation activities. Engage in transformation activities and champion change agendas. Identify and propose enhancements for data-centric processes. Create high-quality functional and technical More ❯

CI/CD pipelines for data pipelines, services, and applications Manage and optimise AWS services: S3, Lambda, ECS, RDS, IoT Core, Glue,CloudWatch Monitor and troubleshoot data pipelines and ETL workloads for reliability and performance Support secure networking, IAM roles, and data access policies across environments Work closely with data engineers, software developers, and analytics teams Enable continuous improvement 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 ❯

Ability to partner with less technical business users to understand, document, and optimize data flows between systems. Data Pipeline Design and Implementation: Experienced in designing and implementing data pipelines (ETL/ELT/streaming) for robust data ingestion, transformation, and distribution, ensuring access to reliable data for analysis and decision-making. Relational Databases: Deep understanding of relational database technologies such More ❯

engineers,andanalyststodeliverintegratedsolutions. Ensuringconsistencyacrosstransactionalandanalyticaldatasystems. Contributingtothedevelopmentof datalakes,datawarehouses,anddistributedstorageenvironments . Mentoringjuniorengineers,embeddingbestpracticeacrosstheteam. Whatwerelookingfor 5+yearsexperiencein DataEngineering ,withstrongexpertisein Azuredataservicesand/orMicrosoftFabric . Proventrackrecorddesigningscalableplatformsandmanaginglargecloud-basedecosystems. Proficiencyin Python,PySpark,SQL,NoSQL andframeworkssuchas Databricks . Solidexperiencewith ETL/ELTdesign,orchestrationandoptimisation . Knowledgeof datagovernance,privacyregulations,andsecuritybestpractices . Strongexperienceintegratingrelational,NoSQL,andstreamingdatasources. CompetenceinCI/CDpipelinesandGit-basedworkflows. Experiencewithmodernarchitecturesincluding datamesh,event-drivenprocessing,andstreamingplatforms(Kafka/EventHub) . Excellentstakeholdercommunicationskills. Apassionformentoringandembeddingengineeringbestpractice. Whatyoullget Upto More ❯

the Amazon Web Services (AWS) cloud platform. Skilled in scalable, reliable, and efficient data solutions, often using AWS services like S3, Redshift, EMR, Glue, and Kinesis. This involves designing ETL processes, ensuring data security, and collaborating with other teams for data analysis and business requirements Role Overview: Job Title: Data AWS Engineer Location: Northampton (hybrid: 2-3 days in office … Creating and implementing data pipelines to move data between different systems and applications on AWS. Data Warehouse Management: Designing, building, and maintaining data warehouses using AWS services like Redshift. ETL Process Development: Developing and maintaining Extract, Transform, Load (ETL) processes to move and transform data. Data Governance and Security: Implementing data governance and security policies for data storage and processing. … Programming Languages: Proficiency in programming languages like Python or Java, used for designing and building data pipelines. SQL: Knowledge of SQL for querying and manipulating data in relational databases. ETL Processes: Experience with ETL tools and techniques. Cloud Computing: Familiarity with cloud computing concepts and principles. Data Architecture: Understanding of data architecture principles and best practices. Data Modeling: Understanding of More ❯

native data infrastructure that enables advanced analytics, AI, and ML. Integrate and transform data from a variety of sources including SQL databases, APIs, and cloud storage. Develop and maintain ETL/ELT processes and frameworks to ensure performance and code quality. Apply strong data modelling principles to deliver clean, well-structured data for reporting and analysis. Collaborate with internal teams … processes, contribute to design discussions, and share knowledge with peers. Bring a proactive, problem-solving mindset to every challenge. Required Skills & Experience Strong SQL skills and solid experience with ETL/ELT development (tool-based or code-based). Good understanding of data modelling, data quality, and governance best practices. Familiarity with DevOps concepts and CI/CD pipelines. Excellent More ❯