1 to 25 of 4,290 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 ...

cloud platforms (Azure preferred), leveraging Databricks as the core data engineering platform Build and optimize sophisticated ETL/ELT data pipelines using PySpark, SQL, and Python, orchestrating complex data workflows through Databricks Workflows, Delta Live Tables, Azure Data Factory Implement and maintain Delta Lake storage architectures and Unity Catalog governance … Unity Catalog governance Extensive experience in designing advanced data models, including medallion architectures, data lakes, and enterprise data warehouses Expert-level proficiency in SQL for complex data transformation, optimization, and analytical workload development Advanced proficiency in Python for data engineering, pipeline automation, and integration development Deep expertise in PySpark ...

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 ...

FinOps implementation roadmap: track delivery of quick-wins, report progress on mid-term initiatives, and flag risks or dependenciesTECHNICAL SKILLS & EXPERTISEStrong data engineering skills: SQL (advanced), Python or PowerShell for data extraction, transformation, and automation; experience with ETL/ELT pipelinesDashboard 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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

What we are looking forEssential 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 ...

What we are looking forEssential 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 ...

delivery outcomes. Technical Skills Strong experience designing and delivering modern data platforms using Microsoft Fabric, Azure Databricks, Azure Data Factory, Azure Synapse Analytics, Azure SQL and Data Lake technologies . Proven experience implementing Lakehouse, Data Warehouse and Medallion Architecture patterns, including data modelling, governance and performance optimization . Expertise … building scalable data ingestion, transformation and orchestration pipelines, integrating data from cloud, on‐premises and third‐party business systems. Strong hands‐on capability with SQL, Python, Spark and PySpark for data engineering, analytics and automation workloads. Experience with Azure Databricks and/or Microsoft Fabric engineering workloads, including notebooks, Delta ...

scalable and cost-efficient data architectures Proficiency in Python, including modularization and production-ready code for data transformations, automation, and workflow orchestration Expert-level SQL skills, including query optimization, performance tuning, stored procedures, and database design Experience designing and implementing scalable data pipelines with AWS Glue, Step Functions, and SQL ...

Senior Data Engineer - SQL/Azure Data Factory/Fabric - is required by fast growing, international organisation. Job purpose Due to their continued success in their online platform, they are expanding their portfolio to increase their current offerings, adding more products to their corporate intelligence and due diligence solutions. They … Computer Science or a related field, and other professional management training Extensive (5+ years) experience in at least 3 of the following: Azure SQL Server 2022, Azure Data Factory (ADF), Microsoft Fabric, ETL/ELT workflows and Synapse. Architectural experience in Azure Data Warehousing, with bonus points for NoSQL (Cosmos ...

Located anywhere in the UK! Salary: Depending on experience Job Type: Permanent, Full Time We're proud to be a trusted leader in SQL development services, and in database, server, cloud, and application services. We enjoy helping our clients, many of which are well-known household brands, stay connected … seeking an experienced Senior Power BI Developer to design, develop and support modern business intelligence and analytics solutions using Power BI and other SQL Server technologies. About the role: The successful candidate will combine strong technical expertise with excellent stakeholder engagement skills, helping clients and internal teams transform raw data ...

Data Factory, Warehouse and Spark Knowledge of Azure Data Platform services, including ADF, ADLS Gen2, Azure Synapse Analytics A strong background in Python and SQL development Proven experience building batch and streaming data pipelines Experience implementing Medallion Architecture and Lakehouse patterns Strong understanding of data modelling techniques (dimensional, star schema … control Knowledge and experience of the following would be advantageous: Experience with GCP and AWS On-prem data platform and integration solutions, including Microsoft SQL Server, SQL Server Integration Services (SSIS) Experience in working with Power BI, including Power Query, DAX, and Power BI Service Experience with enterprise data governance ...

clients on adoption and improvements Strong hands-on experience with Microsoft Azure data services (e.g. Azure Data Factory, Azure Synapse, Azure Data Lake, Azure SQL) Proven experience designing and delivering solutions using Microsoft Fabric, including Lakehouse, Warehousing, Data Engineering, and Real-Time Analytics Advanced skills in Power BI, including semantic … enterprise-scale deployments Solid background in data architecture, including data modelling, integration patterns, and modern analytics architectures Experience building and optimising data pipelines using SQL, Python, and/or Spark Knowledge of AI and advanced analytics on Azure, including Azure Machine Learning, Cognitive Services, or Fabric AI capabilities Experience integrating ...

Develop data models and analytics solutions Work extensively with Power BI Integrate internal and third-party systems through APIs Work with Azure Data Lake, SQL Server and SQL Support the existing Synapse environment while it transitions to Fabric Use Azure DevOps, Git and CI/CD to develop and deploy … commercial experience rather than somebody who has only had peripheral exposure to Fabric. Youll also need a strong grounding in Data Engineering, including: SQL ETL/ELT Data modelling Azure data platforms API integration Source control CI/CD and deployment Building and supporting production data solutions Azure Synapse ...

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 ...

successful in this role, you will have: At least 5 years' experience in a Data Engineering or similar data-focused role. Strong SQL skills, including T-SQL and exposure to relational database technologies. Proven ETL experience, with SSIS being essential. Experience with scripting languages such as Python or PowerShell. Strong ...

decision-making. Build and maintain robust data pipelines using AWS services and Snowflake technologies to enable efficient data processing and integration. Develop and optimise SQL and Python-based data processes to improve data quality, performance and scalability. Translate business requirements into effective reporting and analytics solutions, ensuring outputs are aligned … building and maintaining data solutions on the platform. Practical experience with AWS cloud services, including AWS Glue, for data integration and pipeline development. Advanced SQL skills, with the ability to write complex queries and optimise them for performance. Proficient Python development experience for data processing, transformation and automation tasks. Demonstrable ...