451 to 475 of 7,641 SQL Jobs in the UK

innovative data-driven solutions that improve compliance, safety and business performance Skills Proven commercial experience in Data Science and Machine Learning Strong Python and SQL skills Experience with machine learning frameworks such as TensorFlow, PyTorch and Jupyter Notebooks Strong understanding of predictive modelling and machine learning techniques Experience with ...

equivalent* Experience working with cloud‐based data platforms (e.g. Azure Data Lake, Databricks)* Familiarity with data cataloguing and lineage tools (e.g. Microsoft Purview)* Strong SQL skills and experience with relational and dimensional modelling* The ability to translate complex business concepts into clear data structures* Experience working in agile delivery environments … business stakeholders and demonstrating ability to influence and build relationships across technical teams, architects, Product Owners and business stakeholders.* Hands-on Databricks experience, including SQL/Python* Strong communication skills and experience working with technical and business stakeholders.* Understanding of data quality, classification, privacy and governance principles, with the ability ...

Desktop, and Microsoft Dataverse Expertise in PowerShell, PnP, Python, JavaScript, C#, JSON, Power Query (DAX), REST APIs, and GraphQL Experience with Microsoft Dataverse, Microsoft SQL, MySQL, and AI-driven data analytics Experience designing cross-tenant migrations, automation, and multi-tenant environments Strong understanding of AI governance, compliance, and responsible … Industry Keywords Data Protection Compliance AI Governance Cross-Tenant Migrations Multi-Tenant Environments Tools & Technologies Azure DevOps Microsoft Dataverse Microsoft SQL MySQL Defender for Office 365 #J-18808-Ljbffr ...

production environments Hands‐on experience integrating AI or ML models, LLM APIs, or automation frameworks into applications Strong knowledge of database systems including SQL, NoSQL, and data storage patterns for AI applications Familiarity with cloud platforms such as AWS and Azure, and containerization technologies including Docker and Kubernetes Understanding ...

experience in CRM data management, analytics and data governance. Extensive experience of CRM platforms, including Salesforce and Salesforce Marketing Cloud or equivalent systems. Advanced SQL skills with experience of working with large and complex datasets. Experience of developing dashboards and reporting using Power BI or similar business intelligence tools. Demonstrable … within customer-focused B2B or B2C environments. French language skills Person Specification Strong understanding of CRM data management, data architecture and customer analytics. Advanced SQL and reporting skills. Strong knowledge of Salesforce and CRM platforms. Sound understanding of data protection and governance requirements. Ability to interpret complex data and present ...

than a model. Deepexpertisein dimensional data modelling, schemadesignand semantic layer architecture; able to articulate and defend the trade-offs between competing modelling approaches. Expert SQL; strong Python for analysis and validation. Practical experience of the Microsoft data stack — Fabric, Synapse, Power BI semantic models, and ideally Azure AI Foundry. Demonstrable ...

testing, and structured governance. Strong domain understanding of Capital Markets data and reporting expectations (front-to-back awareness is a plus). Proficiency in SQL (advanced querying, performance tuning, reconciliation logic). Strong proficiency in Python for data analysis and automation (pandas, validation frameworks, scripting). Experience supporting or validating … outputs such as Tableau dashboards (data validation, extract refresh checks, reconciliation to source). Nice-to-Have Experience with tools such as PySpark, Spark SQL, Hive, Impala, HDFS, Parquet, and Oracle databases. Exposure to data governance concepts: critical data elements (CDEs), lineage, data quality dimensions, audit frameworks. Experience running delivery ...

technical concepts into business insights. Operational Excellence & Standards: Ensure scalable, stable data operations using best practices in automation, observability, and continuous improvement. Requirements Advanced SQL, ETL/ELT frameworks, and cloud data platforms such as Azure, AWS, or GCP. Data modelling and pipeline orchestration using tools such as Airflow, Data ...

hands-on experience in analytics and data science who's ready to take greater ownership. If you've moved away from writing R and SQL yourself, or you'd rather advise than build, this isn't the right fit. The opportunity You'll own the day-to-day development … using data to answer business questions and generate actionable insight Advanced hands-on experience with R, or a similar statistical programming language Strong SQL and experience working with data warehouses Experience building dashboards and reporting, ideally in Tableau Experience using Python for scripting, automation or deployment Comfortable working with large ...

analytics (certification an advantage). + Power BI – Visualization, DAX, data modeling, innovative dashboard design, and Power BI CoPilot (certification an advantage). + SQL – Proficiency in ANSI SQL programming and query optimization. + ERP Systems – Experience with Oracle EBS, Salesforce, or similar platforms. + Understanding of Agile development methodologies. ...

high-performing analytical teams. Database & Technical Mastery: Deep hands‐on experience in database building, schema design, database maintenance, data warehousing, ETL processes, and advanced SQL querying across very large and complex data environments. Tooling & Technology Selection: Proven ability to identify, evaluate, and implement tools and technologies that consolidate disparate data … commissions, sales performance analytics, and reporting. Automation & Reconciliation: Practical experience with script‐based reconciliation or automation tools such as VBA, Python/Pandas, SQL, Alteryx, or equivalent methods to rapidly reconcile large dataset pipelines and identify calculation or data integrity issues. Governance & Controls: Proven track record establishing and enforcing data ...

with project requirements. Essential skills and experience Experience preparing, analysing and presenting data for business or operational decision-making. Good working knowledge of Excel, SQL, BI tools or equivalent analytical platforms. Ability to identify data quality issues and prepare data so it is fit for purpose. Ability to communicate technical ...

implement robust data models using Power BI Desktop. Create efficient DAX measures, calculated columns, and KPIs. Connect Power BI to various data sources including SQL Server, Excel, SharePoint, APIs, and cloud platforms. Develop and optimize ETL processes using Power Query and other data integration tools. Perform data validation, testing … Cloud. Design, develop, and optimise data ingestion, transformation, and loading processes into Amazon S3 Data Lake and Amazon Redshift. Develop and maintain SQL-based data integration, transformation, validation, and reconciliation processes. Integrate and support data services including AWS Glue Data Catalog, Athena, Redshift Spectrum, EMR Spark Perform data migration, testing ...

plus). Familiarity with risk appetite concepts as applied to data quality thresholds and control exceptions. Technical/Analytical Skills Proficiency in SQL (advanced querying, reconciliation logic, data validation). Strong proficiency in Python for data analysis and automation (pandas, validation frameworks, scripting). Experience supporting or validating ETL/… outputs such as Tableau dashboards (data validation, extract refresh checks, reconciliation to source). Nice-to-Have Experience with tools such as PySpark, Spark SQL, Hive, Impala, HDFS, Parquet, and Oracle databases. Hands-on exposure to DCRM tooling and operational exception management processes. Experience with governance/catalog tools ...

high-performing analytical teams. Database & Technical Mastery: Deep hands-on experience in database building, schema design, database maintenance, data warehousing, ETL processes, and advanced SQL querying across very large and complex data environments. Tooling & Technology Selection: Proven ability to identify, evaluate, and implement tools and technologies that consolidate disparate data … commissions, sales performance analytics, and reporting. Automation & Reconciliation: Practical experience with script-based reconciliation or automation tools such as VBA, Python/Pandas, SQL, Alteryx, or equivalent methods to rapidly reconcile large dataset pipelines and identify calculation or data integrity issues. Governance & Controls: Proven track record establishing and enforcing data ...

ensure sufficient protection of enterprise data. Implement data security using entitlements frameworks. Update logical or physical data models based on new use cases. Use SQL frequently and understand NoSQL databasesApplies reuse-first, AI-assisted practices to strengthen SDLC-quality routines for data pipelines (e.g., test generation and control validation), ensuring … assisted outputs (e.g., query suggestions, test ideas, or model change summaries) before use, escalating when uncertain and following data handling requirements. Advanced at SQL, including joins and aggregations. Working understanding of NoSQL databases. Significant experience with statistical data analysis and ability to determine appropriate tools and data patterns for analysis. ...

multidisciplinary team. Interest in the work of the NAO and in using technology, data and evidence to improve public services. Desiredcriteria Knowledge of SQL and experience querying relational databases. Knowledge of R, including experience using R for analysis, reporting or application development. Knowledge of DevOps practices and Agile methodology, including ...

within a collaborative team environment. Key Responsibilities: Design, develop, and enhance enterprise-level software solutions using C#, .NET/.NET Core, Razor, Web API, SQL Server, HTML, and JavaScript. Work closely with Product Owners, testers, UI/UX specialists, and Engineering colleagues to deliver new functionality, improvements, and integrations with … Proven experience as a Senior Developer within a SaaS or enterprise software environment. Strong hands-on expertise in C#, .NET/.NET Core, and SQL/T-SQL. Solid understanding of database design, performance optimisation, and query tuning. Experience delivering front-end functionality using HTML, JavaScript, and Razor. Experience building ...

composite models and shared/enterprise datasets (DirectQuery to Analysis Services or Power BI datasets), including their limitations around relationships and calculated columns Strong SQL, with the ability to write, test and tune queries and views against a cloud data warehouse (Snowflake preferred) Solid grasp of dimensional modelling (Kimball … 4HANA, C4C) and ELT tools such as Dell Boomi Power Automate or similar for scheduled data exports and workflow automation Experience in coding with SQL and manipulating large datasets Experience in building data pipelines (Extract, Transform, Load) to transport a wide variety of data types and high volumes of data ...

approaches add measurable value. Data Engineering & Platform Understanding: Strong knowledge of distributed processing (e.g. Apache Spark).Familiarity with Hadoop ecosystem components. Working knowledge of SQL and NoSQL technologies. Understanding of ETL/ELT design trade-offs. Awareness of DevOps practices and CI/CD for data platforms. Understanding ...

pivotal role in leveraging data to drive strategic decisions and solve complex challenges for the business. We are looking for a candidate with advanced SQL skills who has a track record of successfully delivering analytical insights to the business. If you are passionate about transforming data into actionable insights … getting up to in this role: Line manage 2 direct reports (mid/junior Analysts), working collaboratively with the Data Team Lead. Utilize advanced SQL skills to extract, clean, and analyse complex datasets, providing meaningful insights. Lead data-driven projects, from defining objectives and methodologies to presenting findings and recommendations. ...

advanced analytics, data science, machine learning and agentic ai solutions across a variety of use cases Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to extract actionable insights from complex datasets Contribute to the design and implementation of scalable data science workflows and best practices ...

data pipelines and modern data architectures. Excellent communication and client‐facing presentation skills. Proven ability to turn business needs into effective technical solutions. SQL proficiency and experience with Azure/DevOps tools. Background in business or financial data analysis is a plus. Consulting mindset: proactive, strategic, and impact‐oriented. Nice ...

major or multiple client projects across our suite of MMM/Data science offerings Clean and prepare data from multiple sources using Python, R, SQL, Excel, or other tools. Conduct analyses related to consumer behaviour, market trends, and campaign performance. Build, maintain, and apply statistical and predictive models, including regression … equivalent) in Statistics, Econometrics, Data Science, Economics, Applied Mathematics, Business Analytics, Marketing, or a related analytical field. Strong technical proficiency in Python, R, SQL, or similar analytics tools; experience with Databricks, Azure, or other cloud/data platforms is a plus. Experience or willingness to learn visualisation tools such ...

organisation’s information needs, including a KBR team dedicated to providing analytics and insight on client estate. It will require deep technical knowledge of SQL, ETL and Microsoft stack, and demand establishment of collaborative working relationships with technical peer groups, KBR BI/MI Lead(s) and the supporting team …/mobilisation projects through all phases from definition through development to close. Required Experience & Skills Essential Experience developing, deploying and supporting multi-data source SQL data warehouses in an on-premise environment. Experience of the full Microsoft Stack – SSIS, SSRS and SSAS. Experience creating, documenting and developing data models ...