1 to 25 of 6,813 SQL Jobs in the UK

engineers. Operating at true enterprise scale across multiple environments and subject area communities, you will bring deep expertise in Python and SQL data engineering, ETL, cloud data platforms and orchestration at scale. Working with TA&I sponsors and Technology product owners, you will define, design and implement the data engineering … team's deliverables. Design, develop and implement highly scalable and efficient data pipelines using advanced Python (Pandas, web scraping and machine learning libraries), SQL (including advanced optimisation techniques) and Apache Airflow. Lead the extraction, transformation and loading (ETL) of large and complex datasets, including time series data, from various sources ...

engineers. Operating at true enterprise scale across multiple environments and subject area communities, you will bring deep expertise in Python and SQL data engineering, ETL, cloud data platforms and orchestration at scale. Working with TA&I sponsors and Technology product owners, you will define, design and implement the data engineering … team's deliverables. Design, develop and implement highly scalable and efficient data pipelines using advanced Python (Pandas, web scraping and machine learning libraries), SQL (including advanced optimisation techniques) and Apache Airflow. Lead the extraction, transformation and loading (ETL) of large and complex datasets, including time series data, from various sources ...

engineers. Operating at true enterprise scale across multiple environments and subject area communities, you will bring deep expertise in Python and SQL data engineering, ETL, cloud data platforms and orchestration at scale. Working with TA&I sponsors and Technology product owners, you will define, design and implement the data engineering … team's deliverables. Design, develop and implement highly scalable and efficient data pipelines using advanced Python (Pandas, web scraping and machine learning libraries), SQL (including advanced optimisation techniques) and Apache Airflow. Lead the extraction, transformation and loading (ETL) of large and complex datasets, including time series data, from various sources ...

practices, processes and tooling What we’re looking for At least five years’ experience in Data Engineering and Business Intelligence delivery Strong experience with SQL Server, SSIS, SSAS and SSRS Strong SQL skills, including experience with T-SQL and DAX Experience designing and developing ETL and ELT data pipelines … Experience with Power BI , including dashboards, reporting and semantic models Knowledge of Microsoft Azure technologies such as Azure Data Factory, Azure Data Lake, Azure SQL Database, Azure Synapse Analytics and Azure Functions Experience consuming APIs and working with JSON or XML Knowledge of Python, C# or PowerShell Experience with ...

ensure user-centred, automated infrastructure is developed based on business requirements and best practices. Support and enhance data solutions built on Microsoft Fabric, SQL, Azure Data Factory, and SSIS. Monitor, troubleshoot, and proactively resolve data pipeline issues across multiple client environments. Design and implement robust CI/CD practices … testing, and deployment. About the Candidate: Essential Experience Proven experience as a Data Engineer supporting production data pipelines and platforms. Strong knowledge of T-SQL and SQL Server with experience in performance tuning and query optimisation. Experience with scripting languages such as Python for automation. Hands-on experience with Microsoft ...

data solutions Deep understanding of data warehouse design principles and methodologies Advanced knowledge of optimisation techniques for large‐scale data processing Strong proficiency in SQL and Python for handling complex data problems Hands‐on experience with Apache Spark (PySpark or Spark SQL) Experience with the Azure data stack Knowledge ...

pipelines, and products that enable reporting, analytics, digital transformation, and data-driven decision-making. Working with technologies such as Microsoft Fabric, Azure Data Services, SQL, and Power BI, you will ensure data is managed effectively throughout its lifecycle, and contribute to effective Information Management across all teams and business functions. … Strong experience designing and maintaining ETL/ELT pipelines, data integration processes, and structured data platforms. Experience working with Microsoft Fabric, Azure Data Services, SQL, Power BI, or equivalent modern data platforms. Strong understanding of data modelling, database design, metadata management, and data architecture principles. Experience implementing data quality, governance ...

Design and build data models, schemas to support business requirements Develop and maintain data ingestion and processing systems using various tools andtechnologies, such as SQL, NoSQL, ETL, Luigi, Airflow, Argo, etc. Implement data storage solutions using different types of databases, such asrelational, 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. Strong 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 ...

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 ...

clear Dev/Test/Prod separation, deployment pipelines, dataset certification/endorsement, refresh monitoring and access management. Coaching analysts and BI developers on SQL, DAX, data modelling, visual design and engineering hygiene. Working closely with Data Engineering on changes to the semantic/curated layer and data marts. Delivering … providing realistic estimates. Key Requirements 5–10 years' experience in a data analytics or BI role, preferably in an insurance or finance environment. Advanced SQL, including query optimisation and working with the Azure data stack (Data Factory, Synapse/Fabric, SQL-based semantic layers). Advanced Power BI engineering skills ...

clear Dev/Test/Prod separation, deployment pipelines, dataset certification/endorsement, refresh monitoring and access management. Coach analysts and BI developers on SQL, DAX, data modelling, visual design and engineering hygiene; take part in code/report reviews and knowledge‐sharing sessions. Work closely with Data Engineering … Knowledge and Experience Essential Well developed and demonstrable experience in a data analytics or BI role, preferably in an insurance or finance environment. Advanced SQL, including query optimisation and working with the Azure data stack (Data Factory, Synapse/Fabric, SQL‐based semantic layers). Advanced Power BI: data modelling ...

Mathematics or Computer Science). A minimum 8 years of professional experience in Data Analysis. Proficiency in at least one Programming language such as SQL, R or Python. Preferred Qualifications Additional certifications in Data Analytics, Data Science or Business Intelligence (e.g., Certified Analytics Professional, Microsoft Certified: Data Analyst Associate). … ensure data integrity. Extensive experience with Data Migration processes between systems and Data Source Identification. Proven experience in Data Consolidation, Database Management (e.g., SQL, Oracle, IBM DB2, Teradata) and Database Design. Expertise in creating Database Schema and managing Data Dictionaries. Significant experience with Machine Learning algorithms and frameworks for building ...

using Power BI, including semantic models, DAX measures and governed reporting content Strong experience developing enterprise-scale BI, data warehousing, and analytics solutions Strong SQL skills, including query writing, performance tuning and data modelling for reporting purposes Proven ability to work with a diverse group of stakeholders across multiple business … data governance, security, and compliance frameworks Retail industry experience is preferred but not mandatory Competencies, Behaviours and Skills Strong technical expertise in Power BI, SQL, and Python, with the ability to apply these tools to solve both reporting and data platform challenges Solid understanding of customer data, including Customer Experience ...

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. Proficiency in SQL ...

Design and build data models, schemas to support business requirements Develop and maintain data ingestion and processing systems using various tools andtechnologies, such as SQL, NoSQL, ETL, Luigi, Airflow, Argo, etc. Implement data storage solutions using different types of databases, such asrelational, 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 ...

legacy, cloud and on-premises data sources. Engineer reliable data pipelines and models: Design batch, incremental and near-real-time ETL/ELT using SQL, Python and PySpark; apply medallion, dimensional/Kimball, normalised and data-product patterns as appropriate; and use production-grade techniques such as CDC, SCD, schema … governance specialists on Fabric-native governance and Microsoft Purview requirements where these are in project scope. Optimise, monitor and troubleshoot production workloads: Tune SQL, Spark, Delta/Parquet storage, partitioning and compute for performance, cost and reliability. Establish monitoring and alerting for pipelines, notebooks, semantic-model refreshes, data freshness ...

monitoring, observability, exception management, and automation across Market Data and Integration workflows. The Senior Product Analyst will investigate complex data and workflow issues using SQL, Python, logs, dashboards, and source-system analysis; support UAT, regression testing, release readiness, production validation, defect triage, and post-release monitoring … based data platforms. Ability to write clear functional specifications, data mappings, user stories, acceptance criteria, test scenarios, and operational documentation. Hands-on capability with SQL and Python for data investigation, validation, reconciliation, prototyping, automation, or issue analysis. Essential knowledge of key financial instruments and risk analytics concepts, including bonds, equities ...

value individuals who can learn quickly and apply the right approach to solve business challenges. Experience in the following areas is highly desired: SQL and Python or R Building and maintaining data pipelines and analytical workflows Visually creative, with a good understanding of UX aesthetics gained from working with Power … specific sectors is preferred Experience of working with visualisation tools including Power BI, Tableau, Tibco Spotfire, RShiny, plotly-dash, D3.js, or QlikSense Experience in SQL (any variant), MS Excel and VBA Experience in applying various analytical techniques (e.g. naïve bayes, decision trees, random forest, xgboost and k-means), to calculate ...

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 ...

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 ...

About you Solid foundations in Data Engineering, BI Development or Analytics Engineering, with a strong desire to develop and grow alongside the platform Strong SQL skills and a solid understanding of data-modelling principles (e.g. dimensional modelling, 3NF) Working knowledge of SQL Server or a comparable relational engine beyond writing ...

looking for Essential skills and experience: 4–6 years’ experience in Data Engineering, Integration Engineering, Automation Engineering or a similar role. Strong SQL Server and T-SQL skills. Experience developing ETL/ELT processes and data pipelines. Experience with APIs, integrations and data exchange technologies. Experience using Microsoft Azure services. ...

level working within the financial services business or financial regulatory body Proficient in modern data warehousing and database development (on-premises and cloud) using SQL, NoSQL, TSQL and Python to manipulate unstructured and structured data and draw insights from large and diverse data sets. Microsoft on-premises and cloud data ...

looking for Essential skills and experience: 4–6 years’ experience in Data Engineering, Integration Engineering, Automation Engineering or a similar role. Strong SQL Server and T-SQL skills. Experience developing ETL/ELT processes and data pipelines. Experience with APIs, integrations and data exchange technologies. Experience using Microsoft Azure services. ...