126 to 150 of 5,994 SQL Jobs in the UK

reliability and cost efficiency through troubleshooting and automation, and keep documentation clear. What skills we would like you to have Working knowledge of Python, SQL or similar data processing languages. Some exposure to Spark or Databricks through work, study, training or projects. Awareness of Delta Lake, notebooks and workflows; production … experience is not essential. Familiarity with cloud platforms such as AWS, Azure or GCP is desirable. Basic understanding of relational databases and SQL queries. Awareness of tools such as Airflow, Apache NiFi or Talend is helpful. Foundations in data warehousing, modelling and schema design, with an interest in building dashboards ...

call support on a rotation. Required Qualifications: Experience: 7+ years of professional experience in data engineering or a related role across GCP services SQL: Strong expertise in writing complex, optimized SQL queries for data extraction and transformation. ETL/ELT: Hands-on experience building data pipelines using frameworks like Apache ...

hear from you if you have: 4+ years’ experience across data and analytics, including data engineering, data science, and data visualisation: Proficiency in Python, SQL, and R for data manipulation and querying Familiarity with relational databases such as SQL Server, Oracle Understanding of various data formats, including CSV, JSON ...

more cloud data ecosystems: Azure (Data Factory, Synapse, Fabric, ADLS, Databricks) AWS (Glue, Redshift, EMR) GCP (BigQuery, Dataflow) Databricks (Spark/PySpark) Snowflake (SQL, Snowpark, performance tuning) Strong SQL and/or Python capability, and familiarity with tools such as dbt, Git, CI/CD, or MLOps frameworks. Understanding ...

cloud-native data engineering technologies. Provide technical direction across data modelling, ingestion, transformation, orchestration and integration. Apply practical experience of Spark, PySpark, Python and SQL within enterprise data environments. Governance, Security & Quality Embed effective data governance, security, quality and access controls within cloud data environments. Ensure architecture decisions appropriately balance … cloud data platform. Strong understanding of modern data architecture patterns, data modelling and ETL/ELT approaches. Practical experience with Spark, PySpark, Python and SQL and the design of scalable batch and real-time data pipelines. Experience designing appropriate data governance, security and data quality controls. Experience with modern engineering ...

work on meaningful projects involving data integration, processing and infrastructure. About you Commercial experience in Data Engineering or a closely related role Strong SQL skills and experience with Python Experience developing and maintaining ETL/ELT pipelines Knowledge of data modelling, data warehousing and data integration Experience with cloud platforms ...

enhancement and continuous improvement activities. Skills Required: Strong experience developing enterprise data solutions using Microsoft Fabric, Azure Synapse Analytics and Microsoft cloud technologies. Advanced SQL skills with experience designing, developing and optimising data pipelines, ETL/ELT processes and large-scale data solutions. Strong understanding of data warehouse, data lake ...

operational efficiency and better business decisions across a global organisation. Skills and experience that will lead to success Strong experience in data engineering, including SQL, Python and modern ETL/ELT development. Experience with cloud data platforms such as Databricks, Microsoft Fabric, Snowflake or equivalent technologies. Strong understanding of data ...

like Azure Logic Apps, Azure Functions, or Azure API Management.Familiarity with Azure DevOps for CI/CD pipelines for Power Platform applications.Advanced understanding of SQL and data modeling principles.Knowledge of ETL processes and tools.Exposure to other low-code platforms like Appian, Mendix, or OutSystems.Experience with advanced Power BI features, such ...

. Strong Power BI development and production support experience. Experience working with enterprise data platforms and cloud environments. Key Technologies AWS | Power BI | SQL | Python | S3 | Glue | Redshift | Lambda | Athena | IAM | CloudWatch | ETL/ELT | Data Modelling | CI/CD | Git | Terraform | DevOps/DataOps Mandatory requirement: Candidates must have ...

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. ...

Contribute to engineering standards, best practices and continuous improvement initiatives. Essential Skills and Experience Technical Significant experience delivering enterprise-scale data engineering solutions. Strong SQL and data modelling expertise. Experience with cloud data platforms, with Azure experience preferred. Experience building ELT/ETL pipelines and data integration solutions. Strong software ...

responsibility Strong hands‐on experience with Microsoft Fabric Deep understanding of: Modern data lakehouse architectures Dimensional and analytical data modelling Data pipeline orchestration Strong SQL skills and experience with distributed data processing Experience designing enterprise-scale analytics platforms in Azure Ability to translate business requirements into robust technical solutions ...

environments. Strong understanding of modern data engineering patterns, including batch, streaming and hybrid architectures. Extensive experience developing and operating enterprise‐scale data platforms. Strong SQL skills and experience designing data models for analytical and operational workloads. Proficiency in Python or other modern programming languages used for data engineering. Experience configuring ...

Envitia’s data engineering capability. Essential Skills & Experience Proven hands‐on experience building and supporting production‐grade data pipelines using Databricks, PySpark, Spark SQL and Delta Lake. Experience designing and implementing Lakehouse architectures, including Medallion (Bronze, Silver, Gold) data models. Expertise in developing scalable ETL/ELT pipelines capable ...

Experience with Microsoft Azure cloud platform, including Azure Data Lake Storage/ADLS Gen2, Microsoft Fabric (OneLake, Workspaces, Capacity), Azure Synapse and/or SQL, and Azure Data Factory.* Excellent problem-solving and analytical skills and strong communication and teamwork skills.* Passion for data and a thirst for learning; either ...

develop a small team of Data Engineers. Key responsibilities Own the reliability, security and ongoing development of the data platform. Modernise the existing SQL Server, SSIS/SSDT and Power BI environment. Develop scalable batch and real-time data-processing solutions. Lead the design of a Customer Data Platform. Build … using Terraform. CI/CD and automated testing. Lakehouse architecture and open table formats such as Iceberg. Medallion architecture and dimensional data modelling. Strong SQL and Python. SQL Server, SSIS/SSDT and Power BI. Semantic layers, common metrics and data glossaries. Data governance, lineage, retention, classification and auditability. Managing ...

develop a small team of Data Engineers. Key responsibilities Own the reliability, security and ongoing development of the data platform. Modernise the existing SQL Server, SSIS/SSDT and Power BI environment. Develop scalable batch and real-time data-processing solutions. Lead the design of a Customer Data Platform. Build … using Terraform. CI/CD and automated testing. Lakehouse architecture and open table formats such as Iceberg. Medallion architecture and dimensional data modelling. Strong SQL and Python. SQL Server, SSIS/SSDT and Power BI. Semantic layers, common metrics and data glossaries. Data governance, lineage, retention, classification and auditability. Managing ...

industries.ResponsibilitiesImplement end-to-end Microsoft Fabric solutions based on approved architecture, including OneLake, Lakehouse, Warehouse, Data Factory pipelines, Dataflows Gen2, Notebooks (PySpark/Spark SQL) and Real-Time IntelligenceBuild medallion architectures (Bronze/Silver/Gold), including incremental loads, change data capture, slowly changing dimensions and error handlingSet up ingestion … from diverse sources (SQL databases, APIs, files, SaaS applications, SAP, streaming sources) using pipelines, shortcuts and mirroringWrite clean, reusable and tested code in PySpark, Spark SQL, T-SQL and KQL, optimizing Delta tablesAdd data quality checks, validation rules, logging and alerting to data pipelinesBuild enterprise semantic models (star schema) using ...

demonstrate: - Experience working as a Data Engineer, Data Developer, AI Engineer, Machine Learning Engineer or similar .- Strong programming skills in Python and SQL .- Experience designing and building scalable data pipelines and working with structured and unstructured data.- Experience leading technical workstreams or taking ownership of significant elements ...

whether recovery interventions are delivering the intended benefits. We are particularly interested in colleagues who can demonstrate advanced analytical and development skills; experience using SQL and Power BI or comparable business intelligence tools; confidence in interpreting complex operational data; and the ability to work independently with clinicians, managers and senior … intelligence across tumour groups, pathway stages, treatment modalities and waiting times. Create and maintain Power BI dashboards, robust datasets and analytical products using advanced SQL and other appropriate tools. Develop demand, capacity, activity and productivity models, forward trajectories and scenario analysis to support credible recovery plans. Identify emerging operational risks ...

database architecture and the fundamentals of database management and data modelling. Good understanding of base structures and the capability of languages such as T-SQL, DAX, M Language, and Python. Strong experience with the Microsoft stack whether via Azure data services or Microsoft Fabric. Able to demonstrate alignment and work ...

pull requests and meaningful commit history), and contributing to workspace governance across Dev/Test/Prod environments. 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 and curated layer and data marts. Delivering … role, with at least 2 to 3 years in a Lloyd\'s syndicate, managing agent, London Market broker or specialty (re)insurer. 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 (star ...

analytics. The ideal candidate will have around 5-6+ years' experience in Data Engineering or a related role , with strong experience across SQL, ETL and Microsoft data technologies. You'll need to be comfortable working independently, taking ownership of your work and translating business requirements into practical technical solutions. … maintain data warehouses and data lakes . Work with Microsoft Fabric to develop and manage modern data solutions. Develop and optimise solutions using Microsoft SQL Server . Support reporting and analytics requirements, including SSIS and SSRS . Work with tools such as Fivetran and Alteryx to support data integration ...

looking for a Developer with strong Microsoft .NET and SQL Server skills to join our development team. The successful candidate will be responsible for developing, maintaining, and supporting business applications, integrations, and reporting solutions. The role requires a strong foundation in software development and database technologies, with opportunities to work … enhancements and new development projects Produce and maintain technical documentation Database Development Create and optimise stored procedures, views, functions, and queries. Investigate and resolve SQL data-related issues. Support data migration and integration activities. Ensure data quality, performance, and security standards are maintained Reporting & Analytics Support operational reporting requirements ...