1 to 25 of 5,994 SQL Jobs in the UK

sources. Develop and maintain data warehouses and data lakes. Optimise database performance, storage and data models. Implement data solutions using Microsoft Fabric and Microsoft SQL Server. Work with analysts and data scientists to support reporting and analytics. Translate business requirements into effective technical solutions. Maintain data quality, governance, security … technical documentation and share knowledge across the team. Key Skills & Experience At least 4 years' experience in data engineering or a related role. Strong SQL and Python skills. Experience building and managing ETL/ELT pipelines. Experience with cloud platforms such as Azure, AWS or GCP. Knowledge of relational ...

Data Science, Computer Science, Engineering, Information Systems, Mathematics, Statistics, Economics, Business Analytics or a related field. Proficiency in at least one programming language (e.g., SQL, Python, R). We are looking for candidates with experience in one or more Data & AI disciplines. Candidates do not need to have experience across … governance. Degree or equivalent experience in a relevant discipline (e.g. Data Science, Computer Science, Engineering, Mathematics, Statistics, Economics, Business Analytics). Proficiency in SQL and at least one of Python, R, DAX or Power Query. Strong analytical and problem-solving skills with messy or incomplete data. Ability to translate business ...

roadmap: track delivery of quick‐wins, report progress on mid‐term initiatives, and flag risks or dependencies TECHNICAL SKILLS & EXPERTISE Strong data engineering skills: SQL (advanced), Python or PowerShell for data extraction, transformation, and automation; experience with ETL/ELT pipelines Dashboard development: Power BI (preferred), Tableau, Grafana, or equivalent ...

premium, claims, exposure, reinsurance and finance. Design gold‐layer (consumption) models and, where Power BI is the consumption layer, semantic models served from Databricks SQL and shaped for efficient reporting and self‐service analytics. Select and design for the right storage and exchange formats for each workload, including row‐based … e.g. Parquet, CSV, Excel, XML, JSON, Protobuf). Optimise platform performance and cost, including partitioning vs. liquid clustering, file sizing, Photon, and cluster and SQL warehouse sizing. Manage the model lifecycle: optimise and update models for new and existing client projects, reverse engineer physical models from existing databases and SQL ...

snowflake schemas, to make data easier to access and use. You will deploy and manage cloud-based data solutions using Microsoft Fabric and Microsoft SQL Server. You will monitor and optimise database, platform and storage performance to improve scalability, resilience and efficiency. You will partner with analysts, data scientists … Degree in Computer Science, Engineering, Mathematics or a related field, or poven experience in data engineering or a related role. You will bring strong SQL and Python skills, along with solid database experience across relational and non-relational platforms. You will have hands‐on experience building ETL/ELT pipelines ...

reporting into this role. Design and develop homogenous data repositories to deliver data led decision making. Ingest data from various sources, including on premise SQL databases, REST API’s, Apache Kafka streams, etc. Define and apply cleansing rules to the data to ensure meets quality expectations. Define and model data … structuring code, testing, IOC, etc. Strong repositories, CI/CD skills. Strong knowledge of Kimball data modelling, such as star schema, snowflake, etc. Strong SQL skills. Strong data analysis skills. Excellent written and verbal communication skills A demonstrable track record of getting stuff done whilst managing competing pressures and deadlines ...

across projects. Identify opportunities to reuse existing data models and data assets to improve efficiency and consistency. Perform reverse engineering of existing databases and SQL scripts to produce accurate data models and documentation. Assess logical and physical data models for quality, integrity, performance and alignment with business requirements. Validate business … data analysis and profiling Strong data warehousing and OLTP systems from an integration perspective Strong understanding of data integration best practices and concepts Strong SQL skills required scripting preferred Strong Knowledge of all phases of the system development life cycle Experience with major database and big data platforms (e.g. ...

across projects. Identify opportunities to reuse existing data models and data assets to improve efficiency and consistency. Perform reverse engineering of existing databases and SQL scripts to produce accurate data models and documentation. Assess logical and physical data models for quality, integrity, performance and alignment with business requirements. Validate business … data analysis and profiling Strong data warehousing and OLTP systems from an integration perspective Strong understanding of data integration best practices and concepts Strong SQL skills required scripting preferred Strong Knowledge of all phases of the system development life cycle Experience with major database and big data platforms (e.g. ...

data pipelines and workflows that support operational monitoring, anomaly detection, service analytics, and business intelligence initiatives. Integrate data from multiple enterprise systems including Azure, SQL databases, APIs, cloud platforms, and operational systems. Establish and maintain data quality standards, governance practices, and reporting best practices. Partner with leadership teams to define … Experience with Microsoft Fabric, Azure Data Services, or modern cloud-based analytics platforms. Advanced Python programming skills for data processing, automation, and analytics. Strong SQL development and database querying experience. Experience working with source control and collaborative development practices using GitHub. Strong analytical and problem-solving skills with the ability ...

data pipelines and workflows that support operational monitoring, anomaly detection, service analytics, and business intelligence initiatives. Integrate data from multiple enterprise systems including Azure, SQL databases, APIs, cloud platforms, and operational systems. Establish and maintain data quality standards, governance practices, and reporting best practices. Partner with leadership teams to define … Experience with Microsoft Fabric, Azure Data Services, or modern cloud-based analytics platforms. Advanced Python programming skills for data processing, automation, and analytics. Strong SQL development and database querying experience. Experience working with source control and collaborative development practices using GitHub. Strong analytical and problem-solving skills with the ability ...

across the team Proven experience working with cloud‐based data platforms (e.g., GCP, Azure, AWS, Snowflake); Microsoft Fabric is a plus Strong proficiency in SQL and Python, with the ability to write complex queries and reusable scripts for data transformation, validation, testing and automation, ensuring data accuracy, reliability and efficiency ...

Data Factory).• Develop and refine data models to support BI reporting, analytics, and ML/AI use cases.• Write efficient, well-documented T-SQL and PySpark code following team coding standards.Data Quality, Testing & Governance• Implement automated testing, data validation, and monitoring (SLAs, alerts) to ensure pipeline reliability.• Contribute … years in data engineering or a closely related role.• Bachelor’s degree in Computer Science, Data Engineering, or a related field.Technical Skills:· Strong T-SQL skills and working proficiency in PySpark or Python for data processing.· Hands-on experience with MS Azure Storage Explorer and SSMS.· Hands-on experience with ...

ensure data quality/accuracy. Mentor and guide junior data engineers, providing technical expertise and project oversight. What we're looking for Advanced SQL, including writing complex queries, partitioning, clustering and cost-aware query optimisation . Experience of modern orchestration/ELT tooling, ideally Dagster and dbt. Strong Python ...

build data models, schemas to support business requirements Develop and maintain data ingestion and processing systems using various tools and technologies, such as SQL, NoSQL, ETL, Luigi, Airflow, Argo, etc. Implement data storage solutions using different types of databases, such as relational, non-relational, or cloud-based. Working collaboratively with … data engineering teams and independently. Line/Team management experience, leadership experience Experience of working with cloud infrastructure (Azure or AWS, GCP is beneficial) SQL and relational databases (e.g. MS SQL/Azure SQL, PostgreSQL) You have framework experience within either Flask, Tornado or Django, Docker Experience working with ...

translate business problems into data, analytical and technical tasks with support from senior colleagues. Design, build and maintain data pipelines, models and products using SQL, Python and modern data engineering tools. Work with data warehouses, lakehouse platforms and event-driven patterns, including building semantic models for analytics and visualisation. Contribute … over. What We’re Looking For Core Data & Technical Skills Experience translating business questions into data or analytical requirements, with guidance where needed. Good SQL and Python skills for data modelling, transformation, automation and analysis. Experience working with data models in data warehouses, lakehouse environments or analytics tools such ...

Data Engineer – Python/SQL/Azure/Databricks Location: Southampton, Hampshire Job Type: Permanent, Full-Time Salary: Competitive + Excellent Benefits The Opportunity An exciting opportunity has arisen for a talented Data Engineer to join a leading organisation. You will play a key role in developing and enhancing … issues and continuously improve platform performance and reliability. Essential Skills & Experience Strong commercial experience in Data Engineering, particularly developing data pipelines using Python. Excellent SQL skills and a solid understanding of database design and data modelling. Experience working with cloud-based data platforms, ideally Microsoft Azure and/or Databricks. ...

will work across the data platform that supports operational services, integrations, reporting and decision-making across Millbrook. This is not a role where strong SQL can be replaced by knowing the latest cloud product. We have a large SQL Server estate with years of business logic in stored procedures, views … architecture, but getting there depends on properly understanding the estate we have today. The estate you are joining The current data estate is heavily SQL Server based. A lot of important operational and reporting logic lives in large stored procedures, views, functions, scheduled jobs and established ETL processes. Some ...

cultivating a data-driven culturewithin the organisation, mentoring team members, and contributing to the continuous improvement of the Engineering Practice You Will Demonstrate: Proficiencyin SQL and Python:You are highly proficient in SQL and Python, enabling you to handle complex data problems with ease. Understanding of Data Lakehouse Architecture … Hands-On Experience with Spark-Based Solutions:Youpossessexperience with Spark-based platforms like Azure Synapse, Databricks, Microsoft Fabric, or evenon-premiseSpark clusters, usingPySparkor Spark SQL to manage and process large datasets. Expertisein Building ETL and ELT Pipelines:You are skilled in building robust ETL and ELT pipelines, mostly in Azure ...

cultivating a data-driven culturewithin the organisation, mentoring team members, and contributing to the continuous improvement of the Engineering Practice You Will Demonstrate: Proficiencyin SQL and Python:You are highly proficient in SQL and Python, enabling you to handle complex data problems with ease. Understanding of Data Lakehouse Architecture … Hands-On Experience with Spark-Based Solutions:Youpossessexperience with Spark-based platforms like Azure Synapse, Databricks, Microsoft Fabric, or evenon-premiseSpark clusters, usingPySparkor Spark SQL to manage and process large datasets. Expertisein Building ETL and ELT Pipelines:You are skilled in building robust ETL and ELT pipelines, mostly in Azure ...

lakehouses and data warehouses. Data modelling and dimensional modelling techniques such as Kimball. ETL/ELT development and large-scale data integration. PySpark, Spark SQL and modern transformation techniques. Advanced SQL and relational databases including SQL Server, PostgreSQL and Oracle. Integrating structured, semi-structured and unstructured data sources. Migration … modernisation of legacy platforms such as Oracle, SQL Server/SSIS or Synapse. Power BI semantic models, curated datasets and supporting analytics platforms. Data quality, governance, metadata management and lineage. Data security, classification and access control approaches. Automated testing, validation, reconciliation testing and performance optimisation. DataOps, CI/ ...

Data Support inbox, ensuring requests are acknowledged and prioritised appropriately. Log, track and manage incidents and requests through Azure DevOps. Investigate and resolve Azure SQL Database issues including failed jobs, performance bottlenecks, data quality concerns and access requests. Monitor, troubleshoot and rerun Azure Data Factory (ADF) pipelines where required. Diagnose … Help maintain platform reliability, data quality and operational efficiency. The Successful Applicant Proven track record supporting production data platforms within Microsoft Azure environments. Strong SQL Server and T-SQL capability, including query optimisation, stored procedures, indexing and performance tuning. Hands-on knowledge of Azure SQL Database administration and troubleshooting. Demonstrated ...

that connect our key business systems, using Boomi and Azure services, including point-to-point integrations. Alongside this, you will provide technical oversight of SQL development within the team, offering guidance and stepping in when needed. This role offers an exciting opportunity to contribute to our data management and governance … work with key stakeholders internally and externally to resolve them. Apply good engineering practice, including source control, testing and documentation. Provide technical oversight of SQL development within the team, stepping in when needed. Work closely with the Director of Data Services and other stakeholders to implement the company's data ...

ensure close collaboration with the wider team and with our customers. What you will do as a Senior Data Engineer Design, administer and optimise SQL Server databases, ensuring performance, security, resilience, and availability. Troubleshoot and resolve database-related issues in development and production environments. Implement and maintain database security controls … junior engineers. What you’ll bring Proven experience in data engineering with ability to work independently and take ownership of deliverables. Strong Python and SQL skills, with experience building and optimising data pipelines. Strong experience with Microsoft SQL Server and working with large, complex databases. Strong experience designing, administering ...

across projects. Identify opportunities to reuse existing data models and data assets to improve efficiency and consistency. Perform reverse engineering of existing databases and SQL scripts to produce accurate data models and documentation. Assess logical and physical data models for quality, integrity, performance and alignment with business requirements. Validate business … data analysis and profiling Strong data warehousing and OLTP systems from an integration perspective Strong understanding of data integration best practices and concepts Strong SQL skills required scripting preferred Strong Knowledge of all phases of the system development life cycle Experience with major database and big data platforms (e.g. ...

Data Science, Computer Science, Engineering, Information Systems, Mathematics, Statistics, Economics, Business Analytics or a related field. Proficiency in at least one programming language (e.g., SQL, Python, R). Core experience and skills 2–8 years in data, analytics, BI, engineering, data science, AI, automation or governance. Degree or equivalent experience … relevant discipline. Proficiency in SQL and at least one of Python, R, DAX or Power Query. Strong analytical and problem‐solving skills with messy or incomplete data. Ability to translate business requirements into clear data or technical outputs. Strong written and verbal communication, including explaining technical content to non‐technical ...