1 to 25 of 231 Permanent ETL Jobs in the UK excluding London

/ML models that fuel our data-driven operations. What You Will Bring Design and build high-performance data pipelines: to extract, transform, and load data into Cloud Data Lake Storage and other Cloud services. Develop and maintain secure data warehouses and data lakehouses: Implement data models, data quality checks … more of the following technologies Azure Databricks Design and build high-performance data pipelines: Utilize Databricks and Apache Spark to extract, transform, and load data into Azure Data Lake Storage and other Azure services. Experience of Databricks ML and Azure ML to develop predictive models and drive business insights. Proven ...

enterprise-scale data architectures Expertise with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Advanced SQL and Python development skills Experience building ETL/ELT pipelines and modern data integration solutions Strong understanding of DataOps, DevOps, CI/CD, and Infrastructure as Code Experience with data modelling, data ...

skills/knowledge/experience Strong Azure Data Platform experience. Hands-on Azure Databricks expertise. Advanced SQL and Python development skills. Strong experience with ETL/ELT and data pipeline development. Experience supporting production data platforms and operational services. Data modelling and data architecture knowledge. Incident management, root cause analysis ...

Databricks, Azure Data Factory and Power BI, including DAX and semantic modelling. You'll have a solid understanding of Azure Data Lake architecture, ETL processes, dimensional modelling and modern reporting principles, with the ability to translate complex business requirements into practical, scalable data solutions. Experience with Cognos would be beneficial ...

analytics, data apps, AI and data science initiatives. The ideal candidate will have a deep understanding of data warehousing best practices, data modeling techniques, ETL/ELT processes, and cloud-based data platforms. The Data Architect will be a key partner in driving data-driven decisions and future-proofing Jazwares ...

data infrastructure. Technical Expertise Languages: Strong proficiency in SQL and Python. Data Platform: Hands‐on experience with Azure Data Lake and Databricks. Data Integration (ETL): Proven capability in building efficient data pipelines using Azure Data Factory (ADF), SSIS, and API integrations. Modelling: Solid foundation in Dimensional Modelling and data warehousing ...

data quality and deliver reliable reporting and insights. What they're looking for: Strong experience with Python , SQL and Excel Experience building and maintaining ETL/data pipelines Knowledge of data modelling and database design Strong analytical and problem-solving skills Nice to have: Azure (Data Factory, Synapse, Databricks ...

governance, and stakeholder engagement. Key Responsibilities Design, build, and evolve a scalable cloud data platform and supporting architecture. Develop and maintain robust ELT/ETL pipelines, ensuring high standards of reliability, performance, and security. Establish and embed DataOps and DataSecOps practices, including CI/CD, testing, version control, and automated ...

Redshift, Glue), Azure (Data Factory, Synapse) or GCP (BigQuery, Dataflow) Advanced proficiency in SQL, including optimisation and performance tuning Strong experience with ETL/ELT pipelines and data transformation frameworks Programming capability in Python, Scala or Java for data processing Deep understanding of data warehousing concepts and best practices Experience ...

insight delivery. Person Specification Knowledge and Experience * Proven experience in data engineering, data platforms and analytics leadership roles. * Strong understanding of data lake architecture, ETL/ELT pipelines, and modern data environments. * Experience of data modelling, structuring and preparing data for reporting and analytics use. * Proven track record of delivering ...

experience we are looking for Strong SQL development skills and experience working with large and complex datasets. Experience building and maintaining data pipelines and ETL/ELT processes. Hands-on experience with Databricks for data engineering and transformation workloads. Proficiency in Python for data cleansing, transformation, automation, and analytics workflows. ...

strengthen testing and documentation, and improve operational excellence—within agreed security and compliance boundaries. Build and maintain data pipelines and data products: Use appropriate ETL/ELT and distributed processing approaches to ingest, transform and curate data in cloud-based storage and analytics platforms. Implement data modelling, quality and governance ...

Responsibilities Design scalable, secure, and efficient data architectures Develop data platforms, data lakes/lakehouses, and ETL/ELT solutions Translate business requirements into technical solutions Create data roadmaps aligned to business objectives and regulatory requirements Collaborate with stakeholders across business and technology teams Essential Experience Proven Data Architect experience ...

tools and techniques (e.g., ER/Studio, Erwin). Strong SQL and database proficiency (SQL Server, Oracle, Snowflake, Databricks). Experience with data integration (ETL/ELT, APIs). Familiarity with cloud data platforms (AWS, Azure, GCP) and big data (Hadoop, Spark, Kafka) is a plus. Domain Knowledge Exceptional understanding ...

What you will be doing Owning BI infrastructure end-to-end, from initial brief and requirement gathering through to data pipeline development across APIs, ETL, ELT and SQL Working alongside Data Analyst colleagues to help them generate impactful business insights and analysis Taking day-to-day responsibility for the quality ...

Data Factory and Azure Databricks . Build data models and analytics solutions using Synapse Analytics and Azure Data Lake Storage . Develop and optimise ETL/ELT processes. Work directly with clients to understand requirements and deliver robust data solutions. Troubleshoot data issues and ensure solutions are secure, scalable and ...

governance, metadata, lineage, master data management, data quality, interoperability and information architecture. Significant experience designing and delivering enterprise data platforms, data warehouses/lakehouses, ETL/ELT processes, APIs, data pipelines and cloud integration solutions. Advanced technical skills in SQL, Python, Power BI and enterprise data governance tools. Strong understanding ...

work with modern Azure technologies in a business that values innovation and continuous improvement. Key responsibilities: Design and develop scalable Azure data pipelines and ETL solutions Build and optimise Azure-based data warehouses and data lakes Improve platform performance, reliability and scalability Collaborate with business and technical stakeholders to deliver ...

and data architecture solutions. Strong experience with the Microsoft Fabric ecosystem . Expertise in: SQL Power BI Azure Data Services Data Warehousing Lakehouse architecture ETL/ELT development Strong understanding of: Data governance Data quality management Data lineage Metadata management Data security principles Proven ability to engage with both technical ...

with discussions. Essential Skills & Experience: Strong experience with Power BI (Desktop & Service). Proficiency in DAX, Power Query (M), and data modelling. Understanding of ETL processes and data warehousing concepts. Ability to translate complex data into clear visual insights. Experience engaging with non-technical stakeholders. Comprehensive analytical skills to comprehend ...

Proven track record of DBA responsibilities, maintaining database efficiency, and supporting production data environments. Deep understanding of designing, building, and maintaining robust data pipelines, ETL/ELT processes, and data warehousing concepts (e.g., star schemas). Strong knowledge of data quality principles, validation, governance, and data integrity controls. Excellent communication ...

Experience with containerisation and DevOps/MLOps tools (e.g. Docker, Kubernetes, Git, CI/CD, MLflow, Airflow). Strong experience with data engineering concepts (ETL/ELT, data integration, warehousing, vector databases/search) A little bit more about us... We believe in building a diverse and inclusive culture and ...

requirements and managing advanced analytics and ML models for structured data. Proficient in Power BI, SQL, Python, Azure, Databricks, and Dataiku, with hands‐on ETL/ELT experience. Strong understanding of ML lifecycle, validation, governance, data quality, and GenAI awareness. Excellent leadership, communication, and storytelling skills to influence senior stakeholders ...

data analysis, statistical modelling, and predictive analytics. Experience developing, deploying, validating, and maintaining predictive models and machine learning solutions. Strong understanding of ETL processes, data integration, and data quality management. Experience working with large, complex structured and unstructured datasets. Knowledge of statistical analysis techniques and their application to real-world ...

migration to Microsoft Fabric. Required Skills Experience with Apache Airflow. Strong Azure SQL skills. Power BI development and data modelling experience. Good understanding of ETL/ELT processes and data warehousing concepts. Strong communication skills and the ability to work with both technical and non-technical stakeholders. Adaptable, hands ...