226 to 250 of 808 ETL Jobs in England

CD pipelines, Docker/Kubernetes AI/ML Tooling: Familiarity with cloud AI services (SageMaker, Vertex AI, Azure AI) and ML lifecycle management Data: Relational & NoSQL databases, data modelling, ETL/ELT, BI tools Strategic thinker with commercial acumen; can link technology to bottom‐line impact. Inspiring leader who builds high‐performing cross‐functional teams. Exceptional communicator able to translate More ❯

role, you will: Partner closely with engineers and business leaders to design and build Relay's core data models Take ownership of Relay's data infrastructure, including our ingestion, ETL, data quality monitoring and data catalogue. Collaborate with team members across every function and business area at Relay. Regularly spend time in the field understanding how your data models match More ❯

detailed management reports. Strong analytical background, including Excel, MS Access, SQL, Power BI, ArcGIS Online, and FME. Knowledge and capability in a wide variety of additional analytical tools and ETL (e.g. Python, SQL, Databricks, Microsoft Flow, Azure Data Factory). Extensive previous experience in data management. Degree in Environmental Science, Data Management, Hydrology, or a related field. Experience with remote More ❯

Familiarity with distributed system patterns and architectural trade-offs. Experience with performance tuning and troubleshooting in complex environments. Data Systems Knowledge: Exposure to working in data-centric environments, supporting ETL/ELT pipelines or data processing services. Familiarity with SQL and NoSQL databases. Understanding of data privacy and security concepts. Tooling & Infrastructure: Experience with CI/CD pipelines, containerization (Docker More ❯

Technical Ownership Own the end-to-end architecture and reliability of Zego's data platform, from ingestion and transformation to governance and observability. Guide the team in evolving our ETL/ELT pipelines, data models, and real-time processing frameworks. Lead the development of new data architectures and the introduction of new technologies. Innovation & Delivery Drive the adoption of modern More ❯

prioritisation. Technical Ownership Own the end-to-end architecture and reliability of Zegos data platform, from ingestion and transformation to governance and observability. Guide the team in evolving our ETL/ELT pipelines, data models, and real-time processing frameworks. Lead the development of new data architectures and the introduction of new technologies. Innovation & Delivery Drive the adoption of modern More ❯

and ecosystems suchas MicrosoftSynapse/Fabric,Hadoop, Spark, Kafka, and others. Skills in data modelling and datawarehousing solutions. Experienceof dimensional modelling (Kimball). Proven Experience in designing and developing ETL/ELT processes. Knowledge of data pipeline toolssuch as Data Factory, Airflow, andNiFi. Knowledge of version controlsystems such as Git. Ability to analyse problems anddesign better solutions. A familiarity with More ❯

within Power BI Support the integration and management of Microsoft Fabric as part of the evolving data architecture Participate in the full project lifecycle from design to deployment Optimise ETL/ELT processes and propose enhancements to existing systems Implement and maintain API integrations Collaborate with users, analysts, and developers to drive data performance improvements Document data models, pipelines, and … similar technical role Hands-on experience with key Microsoft Azure services: Azure Data Factory Azure Synapse Analytics Azure Data Lake Storage Azure SQL Database Solid understanding of data modeling, ETL/ELT, and warehousing concepts Proficiency in SQL and one or more programming languages (e.g., Python, Scala) Exposure to Microsoft Fabric, or a strong willingness to learn Experience using version More ❯

to Bristol. What You'll Be Doing as a Data Engineer: Design and architect modern data solutions that align with business objectives and technical requirements Design and implement advanced ETL/ELT pipelines using Python, SQL, and Apache Airflow Build highly scalable and performant data solutions leveraging cloud platforms and technologies Develop complex data models to handle enterprise-level analytical … Contribute to the development of the Methods Analytics Engineering Practice by participating in our internal community of practice Requirements Experience in SQL Server Integration Services (SSIS) Good experience with ETL - SSIS, SSRS, T-SQL (On-prem/Cloud) Strong proficiency in SQL and Python for handling complex data problems Hands-on experience with Apache Spark (PySpark or Spark SQL) Experience More ❯

Facilitate agile ceremonies (e.g., daily stand-ups, sprint planning, retrospectives) to ensure efficient workflow. Technical Leadership & Strategy: Provide technical guidance and oversight for the design, development, and maintenance of ETL processes and system integrations. Drive best practices in software engineering, coding standards, and architectural patterns within a C#.NET environment. Collaborate with product managers, architects, and other stakeholders to define technical … effectively to both technical and non-technical audiences. The Person: Proven experience in an Engineering Manager or a senior technical leadership role, leading software development teams. Strong expertise in ETL (Extract, Transform, Load) processes and data integration patterns. Demonstrable experience with designing, building, and maintaining robust integrations between disparate systems. Solid understanding of the software development lifecycle (SDLC) and delivery … Skills: A strong background in software testing, including experience with various testing methodologies (unit, integration, system, performance) and automation frameworks. Experience with cloud platforms (ideally Azure) and cloud-native ETL/integration services. Familiarity with CI/CD pipelines and DevOps practices. Experience with message queuing systems (e.g., Kafka, RabbitMQ, Azure Service Bus). Knowledge of other programming languages or More ❯

using Azure Data Factory (ADF), ensuring efficient and reliable data movement and transformation. • Data Modelling using Kimball, 3NF or Dimensional methodologies • Utilize SQL and Python languages to extract, transform, and load data from various sources into Azure Databricks and Azure SQL/SQL Server. • Design and implement metadata driven pipelines to automate data processing tasks. • Collaborate with cross-functional teams More ❯

with Google Analytics 4 and Google Tag Manager. Proficiency in BI tools like Looker Studio and Power BI. Strong knowledge of dataLayer customisation for advanced tracking needs. Experience with ETL processes and data pipelines. Familiarity with Google BigQuery, SQL, and performance marketing analytics. Ability to analyse user journeys and identify optimisation opportunities. What we can offer you What we can More ❯

in Consumer Banking data domain, preferably Credit Cards, Current Accounts, Consumer Lending Deep understanding of Large-scale Data Technologies - enterprise data warehousing (EDW), business intelligence (BI), data integration/ETL (Extract, Load, Transform) tools and technologies Deep understanding of data modelling, enterprise data lifecycle with an appreciation of consumer risk domain identifying differences between operational data processing ('OLTP') vs analytical More ❯

work experience in data science, machine learning, and business analytics Practical experience in coding languages eg. Python, R, Scala, etc. (Python preferred) Strong proficiency in database technologies eg. SQL, ETL, No-SQL, DW, and Big Data technologies eg. pySpark, Hive, etc. Experienced working with structured and unstructured data eg. Text, PDFs, jpgs, call recordings, video, etc. Knowledge of machine learning More ❯

Dashboard creation, Data Modelling, DAX, Power Query) Understanding of analysis methodologies essential. Previous experience with report building tools is essential, (experience with SAP Business Objects advantageous). Awareness of ETL processes and database automation. Experience working with AI tools to generate automated insights advantageous Confident in Microsoft Excel and full Microsoft Suite. (Or cloud based equivalents) From humble beginnings to More ❯

Dashboard creation, Data Modelling, DAX, Power Query) Understanding of analysis methodologies essential. Previous experience with report building tools is essential, (experience with SAP Business Objects advantageous). Awareness of ETL processes and database automation. Experience working with AI tools to generate automated insights advantageous Confident in Microsoft Excel and full Microsoft Suite. (Or cloud based equivalents) Benefits In addition to More ❯

data and validate by profiling in a data environment Understand data structures and data model (dimensional & relational) concepts like Star schema or Fact & Dimension tables, to design and develop ETL patterns/mechanisms to ingest, analyse, validate, normalize and cleanse data Liaise with data/business SME to understand/confirm data requirements and obtain signoffs Implement data quality procedures More ❯

SQL Critical thinking and ability to problem solve Experience with data warehousing and database systems Exposure to working with CI/CD Knowledge of developing data pipelines Exposure to ETL (Extraction, Transformation and Load) Willingness to learn Solid understanding of software engineering principles Desirable: UK DV Clearance or the ability to obtain it A degree or similar in a STEM More ❯

Relevant work experience in data science, machine learning, and business analytics Practical experience in coding languages eg. Python, R, Scala, etc.; (Python preferred) Proficiency in database technologies eg. SQL, ETL, No-SQL, DW, and Big Data technologies e.g. pySpark, Hive, etc. Experienced working with structured and also unstructured data eg. Text, PDFs, jpgs, call recordings, video, etc. Knowledge of machine More ❯

for data analysis. Proficiency in SQL and experience in writing complex queries for data extraction and transformation. Strong understanding of data modelling concepts and data warehousing principles. Familiarity with ETL processes and data integration from various sources. Hands-on experience with visualisation tools like Google Data Studio or similar tools. Excellent problem-solving skills with the ability to derive actionable More ❯

for data analysis. Proficiency in SQL and experience in writing complex queries for data extraction and transformation. Strong understanding of data modelling concepts and data warehousing principles. Familiarity with ETL processes and data integration from various sources. Hands-on experience with visualisation tools like Google Data Studio or similar tools. Excellent problem-solving skills with the ability to derive actionable More ❯

on AWS has already been completed, so the focus will be on improving pipeline performance, supporting analytics, and contributing to ongoing platform development. Key Responsibilities: - Maintain and optimise existing ETL pipelines to support reporting and analytics - Assist with improvements to performance, scalability, and cost-efficiency across the platform - Work within the existing Databricks environment to develop new data solutions as More ❯

large, complex data sets from internal and external sources, including API integration and scripting. Design and implement scalable infrastructure and automate manual processes. Manage data extraction, transformation, and loading (ETL) using AWS and SQL technologies. Develop analytical tools and dashboards (e.g., using Tableau) to deliver actionable business insights. Ensure data quality and governance through robust validation processes. Key Requirements More ❯

large, complex data sets from internal and external sources, including API integration and scripting. Design and implement scalable infrastructure and automate manual processes. Manage data extraction, transformation, and loading (ETL) using AWS and SQL technologies. Develop analytical tools and dashboards (e.g., using Tableau) to deliver actionable business insights. Ensure data quality and governance through robust validation processes. Key Requirements More ❯

engineering, with strong SQL and Python skills, and hands-on experience with dbt, Airflow, and cloud platforms (AWS, GCP, or Azure). You should be confident designing ELT/ETL pipelines and working across varied technical stacks. Strong communication skills and experience working with stakeholders are essential. Experience in consulting or client-facing roles is a plus. More ❯