26 to 50 of 2,185 SQL Jobs in the UK excluding London

hands‐on experience with Microsoft Fabric technologies including OneLake, Lakehouse, Warehouse, Data Factory, Spark and Power BI. Strong Engineering Skills - You're proficient in SQL, Python and PySpark, with experience developing scalable and maintainable data solutions. Modern Data Platform Experience - You’ve successfully built, enhanced or operated cloud‐based data ...

reliable data pipelines and data platforms, with a strong understanding of data engineering principles and cloud-based technologies. You will be proficient in Python, SQL, and at least one ETL/ELT framework, with the ability to develop scalable solutions that support data processing, analytics, and AI-driven applications. Experience ...

embedded into business processes and decision-making. Technical Skills: Hands-on experience in one or more of the following areas: Programming & Analytics – Python, SQL, R, Spark, machine learning and advanced analytics Cloud & Data Platforms – Microsoft Fabric, Databricks, Snowflake, Azure, AWS and GCP AI Technologies – GenAI frameworks, Agentic AI, vector databases ...

demonstrate: - Experience working as a Data Engineer, Data Developer, AI Engineer, Machine Learning Engineer or similar .- Strong programming skills in Python and SQL .- Experience designing and building scalable data pipelines and working with structured and unstructured data.- Experience leading technical workstreams or taking ownership of significant elements ...

database architecture and the fundamentals of database management and data modelling. Good understanding of base structures and the capability of languages such as T-SQL, DAX, M Language, and Python. Strong experience with the Microsoft stack whether via Azure data services or Microsoft Fabric. Able to demonstrate alignment and work ...

Including storage, data pipelines to ingest and transform data, and querying & reporting of analytical data. You’ve worked with technologies such as Python, Spark, SQL, Pyspark, PowerBI etc. You’ve got a background in software engineering, including Front End technologies like JavaScript. You’re a problem-solver, pragmatically exploring options ...

Azure and Databricks ecosystem. What you'll need: Strong experience building data pipelines using Azure Data Factory, Databricks and Azure Data Lake. Advanced SQL and Python (PySpark) skills for data transformation, automation and optimisation. Hands-on experience with Delta Lake, Spark, Databricks Workflows and Structured Streaming. Knowledge of data warehousing ...

dimensional data modelling, including support for metadata and data dictionary management. Understanding of data security principles, governance frameworks, and MOD compliance standards. Strong SQL skills for querying and manipulating structured datasets. Proficiency in Python or R for statistical analysis, data wrangling, and automation. Experience building dashboards and visualisations using Power ...

systems. Recommend improvements based on analytical findings to enhance operational and strategic decisions. What You'll Have Significant experience with coding languages such as SQL, Python, DAX, and R. Strong expertise with business analytics tools, particularly Power BI. Proven experience developing dashboards, graphs, and visualisations. Familiarity with version control tools ...

responsibility Strong hands‐on experience with Microsoft Fabric Deep understanding of: Modern data lakehouse architectures Dimensional and analytical data modelling Data pipeline orchestration Strong SQL skills and experience with distributed data processing Experience designing enterprise-scale analytics platforms in Azure Ability to translate business requirements into robust technical solutions ...

Advanced technical proficiency in Power BI and enterprise reporting, including data modelling, DAX, semantic models, reusable datasets, composite models, and automated reporting pipelines. Strong SQL or equivalent query language capability, including designing, optimising, and troubleshooting complex queries, stored procedures, and transformations across relational and analytical data environments. Hands‐on expertise ...

cloud-based data platforms. Expertise with one or more of the following technologies: AWS (Redshift, Glue, S3, Bedrock) Microsoft Azure (Synapse, Data Factory, Azure SQL) Databricks (Delta Lake, ETL pipelines, ML workloads) Snowflake Strong data modelling experience across enterprise-scale environments. Experience building modern AI-enabled data architectures. Knowledge ...

role, including direct line management and mentorship of engineers. Strong hands‐on experience with cloud data platforms, ideally including Azure Data Factory and Azure SQL/Synapse Analytics (or AWS/GCP equivalents). Demonstrable experience implementing Git-based version control, CI/CD pipelines, environment separation, peer code reviews ...

essential. Experience assessing existing data management systems and recommending improvements. Experience with modern data architectures, including cloud-based and distributed systems. Strong proficiency in SQL and Python. Experience with data engineering and pipeline technologies such as Apache Airflow and Spark. Experience working with cloud platforms, particularly AWS and Azure. Knowledge ...

technical audiences. What we're looking for You'll bring strong hands-on experience in: Power BI , including data modelling, DAX and dashboard development. SQL for querying, transforming and preparing data. Data analysis and translating complex datasets into clear business insight. Stakeholder engagement and requirements gathering. Data quality, validation ...

have practical experience in data engineering or, gained through work, internships, or projects, and are looking to take the next step• Solid SQL skills and experience working with large-scale datasets• Familiarity with cloud platforms, with some exposure to AWS services• Experience designing or contributing to data pipelines or analytical ...

Criteria Expertise in designing and building data intensive applications and pipelines, with an open mindset on choice of tools Strong proficiency in Python and SQL, with a focus on writing clean, performant code to process and manage large volumes of data Experience designing and implementing complex data-matching, reconciliation ...

have practical experience in data engineering or, gained through work, internships, or projects, and are looking to take the next step • Solid SQL skills and experience working with large-scale datasets • Familiarity with cloud platforms, with some exposure to AWS services • Experience designing or contributing to data pipelines or analytical ...

reliability, maintainability and data quality. Collaborate with colleagues through knowledge sharing, peer review, coaching and practical technical guidance. Skills and Experience Strong proficiency in SQL, relational data concepts, dimensional modelling and ELT design patterns. Proficiency with Azure-native data services, particularly Azure Databricks and Azure Data Factory. Working knowledge ...

/ELT Basic understanding of various data architectures, such as Lakes and Warehouses Knowledge of data cleansing and transformation within unified, standardised schemas Basic SQL DevOps and DataOps Awareness of IaC tools, particularly Terraform Knowledge of basic logging and monitoring practice Knowledge of basic access controls, policies and approaches particularly ...

/ELT Basic understanding of various data architectures, such as Lakes and Warehouses Knowledge of data cleansing and transformation within unified, standardised schemas Basic SQL DevOps and DataOps Awareness of IaC tools, particularly Terraform Knowledge of basic logging and monitoring practice Knowledge of basic access controls, policies and approaches particularly ...

platform implementations Clear communication, working with our operational teams, developers, compliance, risk and external vendors Familiarity with tools such as Azure DevOps, Jira, Visio, SQL, Power BI, ServiceNow, Teams and Microsoft 365 An awareness of GDPR, FCA expectations, Consumer Duty, operational resilience and Central Bank of Ireland requirements An ability ...

looking for experience in the following: Cloud engineering across one or more of: Azure, AWS, GCP, Databricks, Microsoft Fabric or Snowflake Python and SQL, with strong engineering fundamentals Batch and/or streaming pipeline development, or cloud infrastructure and platform engineering - or both CI/CD tooling for data ...

looking for experience in the following: Cloud engineering across one or more of: Azure, AWS, GCP, Databricks, Microsoft Fabric or Snowflake Python and SQL, with strong engineering fundamentals Batch and/or streaming pipeline development, or cloud infrastructure and platform engineering — or both CI/CD tooling for data ...

looking for experience in the following: Cloud engineering across one or more of: Azure, AWS, GCP, Databricks, Microsoft Fabric or Snowflake Python and SQL, with strong engineering fundamentals Batch and/or streaming pipeline development, or cloud infrastructure and platform engineering or both CI/CD tooling for data ...