176 to 200 of 457 ETL Jobs in the UK excluding London

Kubernetes), and virtualisation (VMware, IaaS tools like Ansible, Terraform) Excellent analytical, problem-solving, and communication skills Experience working within Agile or DevOps environments Preferred: Knowledge of data integration techniques (ETL, data mapping) Certifications in software architecture or integration technologies Join a forward-thinking team where your expertise will directly impact the success of critical software systems. Apply now to be More ❯

data platforms from on-premises data centres to public cloud environments (Azure preferred but not required). Deep knowledge of cloud services for data storage, data cataloguing/lineage, ETL processes, and data pipelines for ingestion, transformation, and delivery. Proficiency in Python and SQL for data processing, along with experience in implementing DevOps practices and an SRE mindset for continuous 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 ❯

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 ❯

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 ❯

Rest such as TLS/SSL, Data Encryption Knowledge in MQ & AMQ concepts such as RabbitMQ & Oracle MQ Expertise Knowledge in Data Management workflow & integration such as Data Lake, ETL , Data Ingestion, Sharding, Data Stream, Data Catalogue, Data Cleansing, Data Analytics, Batch, Scheduling Implementation knowledge on principles such as ACID, SOLID, OWASP Knowledge on UK GDPR, PII, PCI-DSS data 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 ❯

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 ❯

and implementing data engineering best-practice (e.g., source-to-target mappings, coding standards, data quality, etc.), working closely with the external party who setup the environment Create and maintain ETL processes, data mappings & transformations to orchestrate data integrations. Ensure data integrity, quality, privacy, and security across systems, in line with client and regulatory requirements Optimise data solutions for performance and … Demonstrable experience in all aspects of the data engineering role, ideally as a senior or lead engineer. Strong, hands-on experience of Azure Data Factory for managing and orchestrating ETL processes Experience with Microsoft Fabric Products Strong SQL experience, including SQL queries and stored procedures, and formal database design methodologies Experience in setting up monitoring and data quality exception handling More ❯

Bus, Event Grid, and API Management. Define and enforce integration architecture standards, patterns, and best practices across the enterprise. Develop and maintain a comprehensive enterprise integration architecture, including SOA, ETL, and event-driven capabilities. Prototype innovative integration solutions and document detailed specifications. Stakeholder Collaboration Work closely with business stakeholders, developers, and IT teams to gather and understand complex business requirements. More ❯

of 3+ years’ experience in reporting, MI, or BI development roles. Strong SQL expertise (MySQL preferred; Redshift a bonus). Proven experience creating dashboards and BI reports. Understanding of ETL processes and data integration from multiple sources. Confident communicator and collaborator within Agile environments. Experience with JIRA and Confluence. What’s in It for You: A collaborative team culture that More ❯

complex systems talk to each other. Youll thrive in a collaborative environment, enjoy working on diverse projects, and take pride in building solutions that make a difference. Experience with ETL/ELT tools , data lake or data mesh architectures , or automation for data integration would be a real plus. Additional Information: We will be reviewing and speaking to candidates on More ❯

MS Business Intelligence tools and platforms.- Proven experience in data modelling and database management.- Ability to lead and mentor a team of data engineers.- Familiarity with data warehousing and ETL processes.Looking for someone to start as soon as possible for a salary up to £90,000 + Bonus + benefits. If you are passionate about data engineering and ready to More ❯

metadata management. Document and communicate technical decisions, dependencies, and recommendations. Required Skills & Experience Proven experience designing and implementing Power BI architectures at enterprise scale. Strong expertise in data modelling , ETL , and enterprise data architecture . Hands-on experience with AWS data services (e.g. Glue, S3, Lambda, Redshift). Experience building reusable data ingestion and transformation pipelines. Knowledge of metadata management More ❯

months ending December 2024 totaled $13.8 billion. Experience : Minimum 10+ Years Strong Knowledge in Hadoop, Kafka, SQL/NoSQL Specialization in designing and implementing large-scale data pipelines, ETL processes, and distributed systems Should be able to work independenty with minimal help/guidance Good Understanding of Airflow,Data Fusion and Data Flow Strong Background and experience in Data Ingestions More ❯

months ending December 2024 totaled $13.8 billion. Experience : Minimum 10+ Years Strong Knowledge in Hadoop, Kafka, SQL/NoSQL Specialization in designing and implementing large-scale data pipelines, ETL processes, and distributed systems Should be able to work independenty with minimal help/guidance Good Understanding of Airflow,Data Fusion and Data Flow Strong Background and experience in Data Ingestions More ❯

and database design principles Hands-on experience with modern data warehousing platforms (Snowflake, PostgreSQL, MySQL) Proficiency in Python for data engineering tasks Experience building and maintaining production ELT/ETL pipelines Services offered by Computappoint Limited are those of an Employment Business and/or Employment Agency in relation to this vacancy. 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. Hands-on experience with more than one MDM technology/platform (e.g., Riversand, Informatica MDM, Semarchy, TIBCO EBX, Reltio). 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. Hands-on experience with more than one MDM technology/platform (e.g., Riversand, Informatica MDM, Semarchy, TIBCO EBX, Reltio). More ❯

database architecture Practical experience with data warehousing platforms (Snowflake, PostgreSQL, MySQL) Solid Python programming capabilities for data engineering workflows Proven track record designing and maintaining production-grade ELT/ETL solutions Services offered by Computappoint Limited are those of an Employment Business and/or Employment Agency in relation to this vacancy. More ❯

system interactions. * Excellent stakeholder management and communication skills. * Ability to translate technical concepts into business-friendly language. Desirable Skills: * Experience with data governance, security, and compliance frameworks. * Knowledge of ETL processes and data integration tools. * Exposure to Agile or hybrid project delivery methodologies. More ❯

analyst or data analyst)* Proficiency in working with data formats such as XML, JSON, CSV, EDI, XLSX* Strong communication and collaboration skills* Fluent in English Desirable Skills:* Familiarity with ETL tools or data integration platforms (e.g., IBM DataStage, Palantir)* Experience with documentation tools and specifications (e.g., Excel-based mapping documents, BPMN, UML)* Proficiency in XML tooling, XSLT, and DataStage Designer 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 ❯