226 to 250 of 5,953 SQL Jobs in the UK

environments. Strong understanding of data pipelines, ETL/ELT frameworks, orchestration tooling, and data engineering best practices. Familiarity with technologies such as Spark, Python, SQL, Delta Lake, Unity Catalog, dbt, Azure Data Factory, Airflow, Kafka, or equivalent tooling. Relevant certifications such as Snowflake SnowPro, Databricks Certified Data Engineer, or cloud ...

determine appropriate solutions for data integration and transformation challenges. Experience and Skills: Experience in Data Engineering or a similar data-focused role Strong SQL and Python development skills Experience building and supporting scalable data pipelines and transformation processes Hands-on experience with Apache Spark, Databricks, dbt and cloud-based data ...

cloud services such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Data Lake Storage. Proficiency in programming languages such as Python, SQL, .Net, PowerBI. Previous experience working with various LLMs, Copilot, Agentforce and MuleSoft would be advantageous. Strong understanding of data governance, data security, and compliance requirements. ...

determine appropriate solutions for data integration and transformation challenges. Experience and Skills Experience in Data Engineering or a similar data‐focused role Strong SQL and Python development skills Experience building and supporting scalable data pipelines and transformation processes Hands‐on experience with Apache Spark, Databricks, dbt and cloud‐based data ...

Business teams to deliver robust, scalable and value-driven data solutions that support organisational growth and performance. What you’ll need: Strong proficiency in SQL and Python, with the ability to develop robust data solutions, automate processes and support advanced analytical requirements. Experience working with cloud-based data platforms, ideally ...

master's degree is a plus. Proven experience in data engineering and analytics, with expertise in Power BI, dbt, Databricks, and Azure. Proficiency in SQL, Python, and data manipulation libraries and frameworks. Strong problem-solving skills and analytical thinking. Excellent communication skills with the ability to collaborate effectively with technical ...

intelligence. ·Proficiency in Power BI, including data modelling, DAX, and visualisation best practices. ·Strong analytical skills with the ability to interpret complex datasets. ·Solid SQL skills for querying and preparing data. ·Experience working with stakeholders to understand needs and present findings. ·High attention to detail and strong data quality mindset. ...

/SKILLS & COMPETENCIES To be successful in this role, you will demonstrate: Technical Excellence: Advanced proficiency in geospatial platforms (ESRI, QGIS,). Experience with SQL & Excel for data manipulation and with data visualisation tools (e.g. PowerBI). Familiarity with Python, FME and cloud data platforms (e.g. Snowflake) Storytelling: Confidence building ...

Authority and Bordereaux data, ensuring accuracy, completeness, and regulatory compliance. Develop and maintain dashboards, reports, and visualisations using Power BI. Write and optimise complex SQL queries to extract, transform, and analyse data from multiple sources. Support the development and enhancement of data models, reporting frameworks, and analytical solutions. Collaborate with … Data Analyst or Senior Data Analyst within (Re)Insurance market is essential. Extensive knowledge of Bordereaux and Delegated Authority business processes and datasets. Advanced SQL skills with the ability to write, troubleshoot, and optimise complex queries. Hands‐on experience developing reports and dashboards using Power BI. Experience working with Azure ...

cloud-based engineering principles. It would be great if you had: Experience in Cyber Security, SOC or Security Engineering environments. Microsoft Sentinel experience. KQL, SQL or other query language knowledge. Power BI data modelling, DAX and Power Query experience. Logic Apps, Power Automate or Azure Automation. Terraform or Infrastructure ...

robust data engineering solutions. Key Responsibilities Design, develop, and optimize data pipelines and data modelsusing Snowflakefor enterprise analytics and reporting Write and optimize complex SQL/PL‐SQL queries, procedures, and transformationsto support large‐scale data processing Build and optimize enterprise data warehouse solutions on Snowflake. Develop data ingestion, transformation … orchestration workflows using Python, PySpark, and Airflow. Develop and optimize complex SQL queries, stored procedures, views, streams, and tasks in Snowflake. Implement scalable cloud‐based data solutions leveraging AWS services. Ensure data quality, governance, security, and compliance across the data platform. Perform query tuning, performance optimization, and cost optimization within ...

create standardised reporting that helps teams make better, faster decisions. This role is ideal for someone who is commercially curious, confident working with SQL and motivated by using data to influence action. You will help the business understand trends, risks and opportunities across customer engagement, product usage, commercial performance … document KPI methodologies, metric definitions and reporting logic so the business has a consistent and trusted view of performance. Write, validate and optimise SQL queries to extract, join, interrogate and analyse data from relevant business systems and data warehouses. Analyse customer, operational, commercial and product data to identify trends, root ...

metrics. Use Power Query and data transformation techniques to prepare data from multiple sources. Connect and integrate data from a variety of systems, including SQL databases, spreadsheets, APIs and other corporate applications. Support the definition and implementation of key performance indicators (KPIs) and management information frameworks. Review and improve existing … analytics. Advanced knowledge of DAX and experience developing complex calculations and measures. Strong experience using Power Query and data transformation techniques. Experience working with SQL and relational databases. Understanding of data modelling principles, including star schemas, dimensions, fact tables and relationships. Experience producing reporting solutions for a range of business ...

interpret data from multiple sources to support business decision-making. Design, develop, and maintain Power BI reports and semantic models. Write efficient, scalable SQL queries to support reporting. Deliver insights and recommendations that help stakeholders understand trends, performance, risks, and opportunities. Collaborate with technical and non-technical teams to promote … skills: Power BI End-to-end development of Power BI solutions, including: Data ingestion and transformation (Power Query) Data modelling DAX development and optimisation SQL & Data Analysis Strong SQL development skills, including query optimisation and troubleshooting. Solid understanding of relational database design and data modelling principles. Experience analysing large ...

builds scalable, data-driven platforms that support advanced analytics and AI-powered applications across fintech, healthcare, and digital services. Задачи Design and build SQL databases from scratch for scalability, reliability, and performance Optimise and maintain existing database systems to improve query performance and efficiency Architect, implement, and manage cloud-based … understand data requirements and deliver scalable data solutions Требования 5+ Years of experience in data engineering or database development roles Strong expertise in SQL and relational database design, including schema design, indexing, and optimisation Experience building and managing databases from the ground up Hands-on experience with Microsoft Azure data ...

problems into data-driven solutions Present insights clearly to both technical and non-technical audiences Training & Development Structured graduate training programme Technical training in: SQL Advanced Excel Power BI/Tableau Python (data analysis and automation) Consulting skills development (communication, stakeholder management) Mentorship and ongoing professional development Support toward industry … skills Interest in data, technology, and consulting Ability to learn quickly and work in a team environment Desirable Skills (Not Essential) Experience with Excel, SQL, Python, or data visualisation tools Exposure to data analysis through academic projects or internships Understanding of basic statistical concepts What We Offer Comprehensive graduate training ...

structured and unstructured data Build scalable and maintainable data solutions supporting analytics, reporting, operational processes and data-driven products Champion engineering standards across SQL, Python, testing, documentation and code review Review designs and code produced by other engineers Identify and address technical debt and improve the data platform Optimise data … rota where required Requirements Strong commercial data engineering experience, ideally in a senior or lead capacity Significant experience delivering production data engineering solutions Advanced SQL and an excellent understanding of databases Strong Python skills for data engineering Strong understanding of data warehousing and dimensional/data modelling Experience designing ...

Designing and developing engaging dashboards and reports using Power BI. Transforming complex data into clear, meaningful insights that support business performance. Writing and optimising SQL queries, views, and datasets to underpin reporting solutions. Building and maintaining reliable data pipelines to support efficient data ingestion and transformation. Collaborating with data owners … with Power BI and Power BI Service , including dataflows, apps, and gateway management. Proven experience designing and optimising data models within Power BI. Advanced SQL skills, including complex query writing, optimisation, and working with large datasets. Solid understanding of data warehousing principles, ETL/ELT processes, dimensional modelling, and data ...

Designing and developing engaging dashboards and reports using Power BI. Transforming complex data into clear, meaningful insights that support business performance. Writing and optimising SQL queries, views, and datasets to underpin reporting solutions. Building and maintaining reliable data pipelines to support efficient data ingestion and transformation. Collaborating with data owners … with Power BI and Power BI Service , including dataflows, apps, and gateway management. Proven experience designing and optimising data models within Power BI. Advanced SQL skills, including complex query writing, optimisation, and working with large datasets. Solid understanding of data warehousing principles, ETL/ELT processes, dimensional modelling, and data ...

strategy, roadmap, reporting standards and KPIs. Design, develop and maintain Power BI dashboards, reports, semantic models and analytical solutions. Develop and maintain the Azure SQL data warehouse, including views, stored procedures, data models and reporting datasets. Translate business requirements into scalable reporting solutions for operational, tactical and strategic decision making. … Improve data quality, governance, documentation and reporting accuracy. Automate reporting processes and optimise SQL, data models and Power BI performance. Champion BI, analytics and data management best practice. Technology & IT Involvement You will provide input for Technology and IT strategies, you will ensure services remain secure, reliable and aligned ...

years delivering Power BI at enterprise scale. Expert knowledge of Power BI, DAX, Power Query (M), semantic modelling and dimensional modelling, supported by strong SQL capability. Hands‐on experience with Power BI Service, Premium or Microsoft Fabric capacity, gateways, deployment pipelines and cloud data‐platform integration across Azure or AWS. ...

analytics roadmap (S/4HANA Embedded Analytics, SAP Datasphere, SAP Analytics Cloud). Lead pilot projects and migrations (e.g., Cognos to Power BI, SQL DW to Fabric OneLake). Collaborate with stakeholders across all business levels and our Accenture partners. Education & Qualifications Bachelor's degree in Computer Science … Azure Data Factory, Synapse, and cloud data services. Expert‐level skills in data modelling, ETL processes, and semantic layer design. Advanced programming capabilities in SQL (T‐SQL/Spark SQL), Python, and PySpark. Hands‐on experience with Power BI (Desktop and Service), DAX, Power Query, and performance tuning. Hands ...

impactful reporting solutions that drive real business outcomes. Using technologies such as Power BI, Microsoft Fabric and Power Automate, alongside languages including DAX and SQL, you'll help transform complex data into trusted, meaningful insight across our Savings, Mortgage and Point-of-Sale Lending businesses. Whether you're developing dashboards … modern analytics and AI-enabled technologies. You will also have the following: Essential Experience designing and delivering Business Intelligence solutions using Power BI. Strong SQL querying, data analysis and data validation skills. Strong understanding of DAX, including measures, calculated columns, time intelligence and performance optimisation. Proven ability to gather requirements ...

development role. Strong hands‐on experience with Databricks or an equivalent enterprise data platform (Azure Synapse, Microsoft Fabric, Snowflake). Proficiency in SQL and experience building and optimising semantic or data models at scale, including window functions and complex business logic. Solid understanding of data modelling principles - star schema, dimensional ...

framework components that improve how the platform is used and operated. The role is suited to engineers who are comfortable writing code, working with SQL and distributed data processing, and solving practical delivery problems in a team environment. More experienced candidates may also contribute to technical design, platform standards … with evidence of strong quantitative skills or data engineering expertise. Strong hands‐on programming experience in Python or Java . Good working knowledge of SQL , including troubleshooting, optimisation and data analysis. Ability to learn new tools, internal platforms and delivery workflows quickly. Familiarity with software engineering fundamentals, including version control ...