251 to 275 of 340 ETL Jobs in the UK excluding London

Hyper-V, as well as Kubernetes-based AI infrastructure. •Collaborate with compute, storage, and DevOps teams to ensure end-to-end performance across AI training, fine-tuning, inference, and ETL pipelines. •Drive network automation efforts using tools such as Python, Ansible, and Terraform, enabling Infrastructure-as-Code (IaC) for repeatable, scalable deployments. •Participate in performance tuning, benchmarking, and capacity planning More ❯

Snowflake Architect Location: Basildon, UK Work from office 3 days per week Responsibilities: Design, develop, and maintain robust data pipelines and ETL processes using Snowflake on AWS. Implement data warehousing solutions, ensuring efficient storage, retrieval, and transformation of large datasets. Collaborate with data analysts, scientists, and other stakeholders to define and fulfil data requirements. Optimize performance and scalability of Snowflake … degree in computer science, Engineering, or a related field. 5+ years of experience in data engineering, with a strong focus on Snowflake and AWS. Proficiency in SQL, Python, and ETL tools ( Streamsets, DBT etc.) Hands on experience with Oracle RDBMS Data Migration experience to Snowflake Experience with AWS services such as S3, Lambda, Redshift, and Glue. Strong understanding of data More ❯

appealing Power BI reports and To connect Power BI to various data sources, including MongoDB, SQL databases, Excel, and cloud services. To design and implement efficient data models and ETL processes using Power Query and DAX. To optimize Power BI performance by fine-tuning data models and To collaborate with data analysts and business stakeholders to gather and understand reporting … three years experience as a Power BI Developer or similar A strong proficiency in Microsoft Power BI, including DAX and Power Experience with SQL databases, MongoDB, data modeling, and ETL Familiarity with Azure Data Services (e.g., Microsoft Fabric, Azure SQL, Azure Synapse, Data Factory) is a plus. Ability to translate complex business requirements into effective dashboards and Strong analytical and More ❯

appealing Power BI reports and To connect Power BI to various data sources, including MongoDB, SQL databases, Excel, and cloud services. To design and implement efficient data models and ETL processes using Power Query and DAX. To optimize Power BI performance by fine-tuning data models and To collaborate with data analysts and business stakeholders to gather and understand reporting … three years experience as a Power BI Developer or similar A strong proficiency in Microsoft Power BI, including DAX and Power Experience with SQL databases, MongoDB, data modeling, and ETL Familiarity with Azure Data Services (e.g., Microsoft Fabric, Azure SQL, Azure Synapse, Data Factory) is a plus. Ability to translate complex business requirements into effective dashboards and Strong analytical and More ❯

Senior BI Developer Permanent Location: Home/Rugby Salary: £45,000 - £53,000 (+ benefits) Skills: Power BI, (advanced), DAX, SQL Server, ETL/ELT, building impactful data dashboards for insights, Excellent Customer facing skills We're hiring a Senior BI Developer on behalf of a leading data consultancy - an ideal opportunity for someone with strong Power BI front-end … Object-Level Security Use tools such as Tabular Editor and DAX Studio for optimisation and deployment Collaborate with DevOps to implement CI/CD pipelines in Azure DevOps Support ETL/ELT processes using Azure Data Factory, Synapse, and related services Stay current with emerging technologies, including Microsoft Fabric, to shape future data strategies Deliver insights to technical and non More ❯

deliver enterprise Data & AI architecture aligned with strategic goals. Develop conceptual, logical, and physical data models for both operational and analytical use cases. Define data architecture for solutions involving ETL , data integration, and migration. Establish and maintain data architecture assets, including standards, policies, and integration patterns. Collaborate with Data Stewards, Analysts, and SMEs to define and ratify common reference data … for innovation and continuous improvement in the data space. Tech you'll work with Cloud & Data Platforms: Azure Synapse, Azure Data Lake, Azure Data Factory Data Modelling & Integration: SQL, ETL tools, data pipelines Architecture & Governance: Enterprise data models, data catalogues, metadata management Collaboration & Documentation: Agile delivery, architecture documentation, stakeholder workshops Why This Role? You'll be joining a forward-thinking More ❯

optimal data delivery architecture is consistent throughout ongoing projects. What will your ‘typical’ day look like.... (there’s no 2 days the same in Atom): Build and maintain data ETL jobs using a range of tools & techniques Effective use of database and streaming techniques and methodologies to create an efficient, sustainable and agile platform Work on cloud based architecture to … including Postgres, Cassandra and BigQuery Familiarity with cloud-based technologies and deployment infrastructure such as GCP functions, Kubernetes & Terraform/Jenkins, CI/CD Git. Knowledge of Data Modelling, ETL development and Database/Data Warehousing, Structured and Unstructured data Awareness of how data can be used to drive operational and strategic decisions Understanding and delivery of Data Governance practices. More ❯

Your work will be vital to ensuring data is accurate, structured, and available powering both real-time business intelligence and future advanced analytics. Key Responsibilities Design and develop automated ETL/ELT pipelines using SQL and Python Integrate internal/external data sources via APIs and platform connectors Model and structure data for scalable analytics (e.g., star/snowflake schemas … Support groundwork for future data science and machine learning initiatives The successful applicant will be proficient in SQL and Python, with a proven track record of building and maintaining ETL/ELT pipelines. Experience working with Microsoft Fabric, Azure Data Factory, and modern Lakehouse or data warehouse architecture is essential. You’ll demonstrate a strong focus on data quality and More ❯

relational databases Comfortable with both Linux and Windows environments Hands-on experience with monitoring tools (e.g., AppDynamics, ITRS, Elastic APM, Grafana) Desirable: Experience with Angular, NodeJS Knowledge of APIs, ETL processes, and scripting Familiarity with Openshift, Docker, Kubernetes, and cloud technologies (IaaS, PaaS, SaaS) Start Date: ASAP Please apply promptly if you are interested as interviews will be commencing soon. More ❯

relational databases Comfortable with both Linux and Windows environments Hands-on experience with monitoring tools (e.g., AppDynamics, ITRS, Elastic APM, Grafana) Desirable: Experience with Angular, NodeJS Knowledge of APIs, ETL processes, and scripting Familiarity with Openshift, Docker, Kubernetes, and cloud technologies (IaaS, PaaS, SaaS) Start Date: ASAP Please apply promptly if you are interested as interviews will be commencing soon. More ❯

a high-profile automotive business where customer data is driving change and shaping the future. What we’re looking for: Strong SQL & Python skills, with experience building pipelines and ETL processes. Hands-on experience with GCP (BigQuery, Cloud Functions, Dataflow). Knowledge of CRM systems and customer data flows. Familiarity with ETL frameworks (Airflow) and version control (Git/CI More ❯

a high-profile automotive business where customer data is driving change and shaping the future. What we’re looking for: Strong SQL & Python skills, with experience building pipelines and ETL processes. Hands-on experience with GCP (BigQuery, Cloud Functions, Dataflow). Knowledge of CRM systems and customer data flows. Familiarity with ETL frameworks (Airflow) and version control (Git/CI More ❯

a high-profile automotive business where customer data is driving change and shaping the future. What we’re looking for: Strong SQL & Python skills, with experience building pipelines and ETL processes. Hands-on experience with GCP (BigQuery, Cloud Functions, Dataflow). Knowledge of CRM systems and customer data flows. Familiarity with ETL frameworks (Airflow) and version control (Git/CI More ❯

team. Essential skills: Programming Languages such as Spark, Java, Python, PySpark, Scala (minimum of 2). Extensive Data Engineering hands-on experience (coding, configuration, automation, delivery, monitoring, security). ETL Tools such as Azure Data Fabric (ADF) and Databricks or similar ones. Significant hands-on experience of HDFS/Hadoop and on-prem (coding, configuration, automation, delivery, monitoring, security). … you MUST have the Right to Work in the UK long-term without the need for Company Sponsorship. KEYWORDS Senior Data Engineer, Coding Skills, Spark, Java, Python, PySpark, Scala, ETL Tools, Azure Data Fabric (ADF), Databricks, HDFS, Hadoop, Big Data, Cloudera, Data Lakes, Azure Data, Delta Lake, Data Lake, Databricks Lakehouse, Data Analytics, SQL, Geospatial Data, FME, QGIS, PostGIS. Please More ❯

transformation, Data domain knowledge, Data Integration, Data Management, Data Manipulation, Data Sourcing, Data strategy and governance, Data Structures and Algorithms (Inactive), Data visualization and interpretation, Digital Security, Extract, transform and load, Group Problem Solving Legal Disclaimer: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national More ❯

This is a hands-on, delivery-focused role where you’ll be diagnosing ingestion bottlenecks and designing scalable, secure solutions. 🛠️ What You’ll Need Proven experience in data ingestion , ETL pipelines , and data platform architecture Familiarity with DDAP or similar secure data platforms Strong understanding of government data environments and MOD protocols Ability to lead workshops and collaborate with stakeholders More ❯

This is a hands-on, delivery-focused role where you’ll be diagnosing ingestion bottlenecks and designing scalable, secure solutions. 🛠️ What You’ll Need Proven experience in data ingestion , ETL pipelines , and data platform architecture Familiarity with DDAP or similar secure data platforms Strong understanding of government data environments and MOD protocols Ability to lead workshops and collaborate with stakeholders More ❯

This is a hands-on, delivery-focused role where you’ll be diagnosing ingestion bottlenecks and designing scalable, secure solutions. 🛠️ What You’ll Need Proven experience in data ingestion , ETL pipelines , and data platform architecture Familiarity with DDAP or similar secure data platforms Strong understanding of government data environments and MOD protocols Ability to lead workshops and collaborate with stakeholders More ❯

data in stakeholder-preferred formats Work with data owners to improve data quality through dashboards and reporting tools Assist in the creation and testing of analytics applications and reports Extract, transform, load (ETL) and manipulate data as required Collaborate closely with the Applications team to deliver information across the business Provide 1st line support to users as part of the More ❯

global DBA teams across London, New York, and Ireland. Key Responsibilities: Design, implement, and optimize Oracle Data Warehouse systems, ensuring scalability, performance, and alignment with analytics needs. Develop efficient ETL processes and optimize complex SQL and PL/SQL scripts. Provide guidance on data modelling, indexing, and partitioning strategies. Troubleshoot and resolve performance, ETL, and data pipeline issues while maintaining … continuity. Serve as a technical consultant for cross-functional projects, advising on data architecture and performance optimization. Key Skills & Experience: Strong expertise in Oracle Database, PL/SQL, SQL, ETL design, data modeling, indexing, and partitioning . Experience in supporting enterprise-scale Oracle Data Warehouse environments. Proven ability to troubleshoot complex data and ETL issues. Familiarity with working in multi More ❯

with engineering teams to understand source systems and data structures. Develop and maintain dashboards and visualizations using Sisense or Power BI. Write efficient SQL/T-SQL queries to extract and manipulate data. Support data modelling and contribute to data warehousing efforts. Participate in ETL processes; experience with SSIS is a plus. Communicate findings clearly and effectively to non-technical … data . Proficiency in SQL/T-SQL and Microsoft Excel. Hands-on experience with Power BI, Sisense, or similar BI tools. Familiarity with data modelling, data warehousing, and ETL concepts. Exposure to SSIS or similar data integration tools is a plus. Strong communication and stakeholder management skills. Ability to work independently and collaborate across functions. More ❯

with engineering teams to understand source systems and data structures. Develop and maintain dashboards and visualizations using Sisense or Power BI. Write efficient SQL/T-SQL queries to extract and manipulate data. Support data modelling and contribute to data warehousing efforts. Participate in ETL processes; experience with SSIS is a plus. Communicate findings clearly and effectively to non-technical … data . Proficiency in SQL/T-SQL and Microsoft Excel. Hands-on experience with Power BI, Sisense, or similar BI tools. Familiarity with data modelling, data warehousing, and ETL concepts. Exposure to SSIS or similar data integration tools is a plus. Strong communication and stakeholder management skills. Ability to work independently and collaborate across functions. More ❯

and develop roadmaps aligned to business and data strategies. Translate business requirements into robust, compliant, and future-proof technical solutions. Design and implement data warehousing solutions, data lakes, and ETL processes. Ensure alignment of data architecture with organisational goals and regulatory standards. Keep ahead of emerging technologies and best practices in data architecture, analytics, and cloud platforms. Essential: Strong understanding … of the financial services industry. Extensive knowledge of scalable, efficient, and secure data architecture. Experience with data warehousing, data lakes, ETL processes. Proficiency in logical and physical data modelling. Knowledge of cloud platforms (AWS, Azure, Google Cloud, Snowflake). Excellent communication and stakeholder management skills. Proactive approach to emerging technologies and Microsoft tech stack. More ❯

that's driving transformation through data. This is a unique opportunity to step into a role originally designed for a niche integration specialist - now reimagined for someone with strong ETL, API, and data pipeline experience who's ready to innovate. Senior Data Integration Developer Location: Hybrid/North East England Salary: £47,000 - £54,000 The Opportunity You'll lead … a fast-paced, agile environment and wants to make a tangible impact through data. What You'll Be Doing Integration Development: Build and maintain data pipelines and APIs using ETL tools and scripting languages. Optimise performance and troubleshoot integration flows. Data Mapping & Standards: Collaborate with data teams to define and maintain mapping logic and ensure compliance with data governance standards. … and deliver integration solutions. Mentoring & Leadership: Support junior developers and lead integration workstreams, promoting a culture of continuous improvement. What We're Looking For Strong experience in data integration , ETL development , or API engineering Proficiency in SQL and at least one of: PostgreSQL , SQL Server , or Oracle Familiarity with RESTful APIs , JSON/XML , and data transformation scripting (e.g., JavaScript More ❯

hands-on experience Technical Delivery Manager skills Geospatial Data experience (including QGIS) FME Advanced Database and SQL skills Certifications : AWS or FME certifications are a real plus. Experience with ETL tools such as AWS Glue, Azure Data Factory, Databricks or similar is a bonus. The role comes with excellent benefits to support your well-being and career growth. KEYWORDS Principal … Geospatial Data Engineer, Geospatial, GIS, QGIS, FME, AWS, On-Prem Services, Software Engineering, Data Engineering, Data Analytics, Spark, Java, Python, PySpark, Scala, ETL Tools, AWS Glue. Please note, to be considered for this role you MUST reside/live in the UK, and you MUST have the Right to Work in the UK long-term without the need for Company More ❯