51 to 75 of 5,758 SQL Jobs in the UK

provide training on data tools and workflows. Skills and experience • Experience in building ELT/ETL pipelines and managing data workflows. • Proficiency in programming languages such as PySPark, Python, SQL, or Scala. • Solid understanding of data modelling and relational database concepts. • Knowledge of GDPR and UK data protection regulations. Preferred Skills: • Experience with Power BI for data visualization and reporting. More ❯

Advanced Power BI skills, including DAX, Power Query (M), and custom visuals. Strong experience in data transformation and modelling . Proven ability in data integration across multiple sources (Snowflake, SQL, APIs, Excel, etc.). Experience working in or with the defence, government, or public sector is highly desirable. Knowledge of Data Warehousing concepts and practices. Familiarity with Agile methodologies and More ❯

Advanced Power BI skills, including DAX, Power Query (M), and custom visuals. Strong experience in data transformation and modelling . Proven ability in data integration across multiple sources (Snowflake, SQL, APIs, Excel, etc.). Experience working in or with the defence, government, or public sector is highly desirable. Knowledge of Data Warehousing concepts and practices. Familiarity with Agile methodologies and More ❯

geometries), support automation, and carry out accuracy checks on transformed datasets What You’ll Bring: Proven experience as a Data Analyst in a data-focused, engineering-led environment Strong SQL skills and a working knowledge of data visualisation platforms (Power BI, Tableau, Looker, etc.) Hands-on experience with large datasets and a strong analytical mindset Familiarity with geospatial data and More ❯

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/Kubernetes), and version control systems (e.g., Git). Ways More ❯

an attention to detail Experience designing data warehouse technical architectures and infrastructure components Experience deploying could data infrastructure services Programming experience in Python Experience writing, troubleshooting, and debugging advanced SQL queries Outstanding analytical and problem-solving skills Experience working with ETL/ELT, and reporting and analytic tools Skills and experience we’d love you to have... But if not More ❯

in software engineering principles, including version control (Git), testing, CI/CD, modular design, and clean code practices. Experience developing reusable components and APIs is a strong plus. Advanced SQL skills for complex data queries and transformations Proficiency in at least one programming language, with Python strongly preferred for data processing, automation, and pipeline development Strong acumen for application health More ❯

modern data engineering and reporting. 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're a problem-solver, pragmatically exploring options and finding effective solutions. An understanding of how to design and build well-structured, maintainable systems. Strong communication skills More ❯

record building Power BI dashboards and reports, including data modelling and DAX measures. Familiarity with Python or R for data manipulation and lightweight ETL scripting would be beneficial plus SQL skills for querying both relational and semi‐structured data. Practical knowledge of one or more CPO platform would be helpful, with knowledge of the EV charging market, specifically ultra-rapid More ❯

Proven experience in the energy trading sector, ideally with exposure to Natural Gas and Power markets, balancing mechanisms, and regulatory frameworks (e.g., REMIT, EMIR). Expert in Python and SQL; strong experience with data engineering libraries (e.g., Pandas, PySpark, Dask). Deep knowledge of ETL/ELT frameworks and orchestration tools (e.g., Airflow, Azure Data Factory, Dagster). Proficient in More ❯

as a means to solve challenges. Proficiency in a programming language (e.g., Scala, Python, Java, C#) with understanding of domain modelling and application development. Knowledge of data management platforms (SQL, NoSQL, Spark/Databricks). Experience with modern engineering tools (Git, CI/CD), cloud platforms (Azure, AWS), and Infrastructure as Code (Terraform, Pulumi). Familiarity with various frameworks across More ❯

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/Kubernetes), and version control systems (e.g., Git). Ways More ❯

working knowledge of a general programming language (e.g. Scala, Python, Java, C# etc.) and understand both domain modelling and application programming. You have working knowledge of data management platforms (SQL, NoSQL, Spark/Databricks etc.) You have working knowledge of modern software engineering tools (Git, CI/CD pipelines), cloud technologies (Azure, AWS) and IaC (e.g. Terraform, Pulumi) You have More ❯

degree or higher Significant experience building and leading teams delivering cross-functional projects. Experience of embedding operation excellence culture within their teams. Knowledge of database modelling, database concepts and SQL Experience with data visualization frameworks like D3.js, Plotly, Matplotlib, or similar Hybrid working applies to this role, with the expectation of 2-3 days per week onsite. We create a More ❯

skills required: Expertise in Python, Java, Scala, or other programming languages used to build data pipelines, implement data transformations, and automate data workflows. Strong knowledge of Power BI Strong SQL experience. Familiarity with technical data structures, data pipelines and data science techniques, understanding complex systems. Extensive knowledge of ETL tools essential for building data pipelines effectively. Strong experience with cloud More ❯

skills required: Expertise in Python, Java, Scala, or other programming languages used to build data pipelines, implement data transformations, and automate data workflows. Strong knowledge of Power BI Strong SQL experience. Familiarity with technical data structures, data pipelines and data science techniques, understanding complex systems. Extensive knowledge of ETL tools essential for building data pipelines effectively. Strong experience with cloud More ❯

preferably in a FinTech or Payments environment. Exposure and a good understansinf in data modeling (dimensional and normalized), ETL/ELT design , and data warehousing techniques . Proficiency in SQL and experience with scripting languages such as Python or Scala . Demonstrated ability to create impactful dashboards using Power BI and Tableau . Deep understanding of data pipeline orchestration tools More ❯

knowledge, and expertise: Alteryx Designer Core Certified. Experience developing and supporting automated workflows in Alteryx Designer. Experience deploying workflows to the Production Gallery. Knowledge of database fundamentals, data design, SQL, and data warehouse concepts is advantageous. Exposure to PowerBI, Databricks, Microsoft Azure, and Profisee is a plus. Knowledge of Json, Python, XML, and R is beneficial. Experience with non-relational More ❯

of documentation and data security compliance Technical Skills (desirable): Microsoft Azure Data Services (e.g., Azure Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with More ❯

of documentation and data security compliance Technical Skills (desirable): Microsoft Azure Data Services (e.g., Azure Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with More ❯

of documentation and data security compliance Technical Skills (desirable): Microsoft Azure Data Services (e.g., Azure Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with More ❯

Physics, Geo-physics, Data scientist). Database experience. Demonstrated statistical skills. Technology and tools experience: Microsoft Azure, dashboarding (e.g. Power BI). Microsoft suite - Excel, Powerpoint etc. Languages: Python, SQL, Git. Working towards more complex modelling of the data using innovative methods. Knowledge of Machine Learning: Classification (Random Forest, Decision Trees, KNN), Regression. Modelling (linear, sparse, logistic), Principal Component Analysis More ❯

frontend interfaces using React, TypeScript, and Tailwind CSS Develop backend services and APIs using Node.js, Python, or .NET Core Integrate and manage databases such as PostgreSQL, MongoDB, and Azure SQL Work within Azure, using services like App Services, Azure Functions, and Key Vault Automate infrastructure with Terraform, ARM templates, or Bicep Implement CI/CD pipelines with Azure DevOps, GitHub More ❯

Defender). Expertise in Python for writing efficient code and maintaining reusable libraries. Experienced with microservice design patterns, and Databricks/Spark for big data processing. Strong knowledge of SQL/NoSQL databases corresponding ELT workflows. Excellent problem-solving, communication, and collaboration skills in fast-paced environments. 3 years' professional experience as a Data Engineer/DevOps Engineer/Systems More ❯

preferable) Excellent understanding of the underlying perils science and model components Strong problem-solving skills and keen attention to detail Excellent IT skills, Power BI an advantage Experience with SQL is essential, R/Python an advantage Experience with process optimisation Experience and working knowledge of GIS software e.g. ArcGIS, an advantage Excellent communication skills Ability to process and understand More ❯