451 to 475 of 7,600 SQL Jobs in the UK

experience in data science, machine learning, advanced analytics or a related discipline, with experience managing analytical projects from initiation to delivery Strong Python and SQL skills, or significant R experience with a commitment to develop your Python capability, plus complex data analysis and data quality assurance Strong knowledge of statistical ...

leadership teams to gather requirements, challenge assumptions, translate business questions into technical BI solutions, and present actionable insights clearly. Data Management & Optimisation: Utilise strong SQL skills for data manipulation, querying, and validation while implementing robust ETL/ELT processes and troubleshooting performance bottlenecks across datasets. Champion Data Governance: Ensure high … Fabric Platform Expertise (Essential): Demonstrable hands-on experience in the operation, management, or usage of Microsoft Fabric to deliver data solutions. Advanced Power BI & SQL Skills: Expertise in DAX, Power Query, semantic modelling, report performance tuning, and writing complex SQL queries for data validation. Strong Stakeholder & Communication Skills: Confident ...

actionable insights to stakeholders* Collaborate with cross-functional teams to understand business requirements* Perform data validation and ensure data accuracy and consistency* Write complex SQL queries to extract and manipulate data* Automate data processes and improve reporting efficiency* Support business decisions with data-driven recommendations**Required Skills:*** Strong knowledge … SQL and database management* Proficiency in Excel (advanced formulas, pivot tables)* Experience with data visualization tools (Power BI/Tableau)* Basic knowledge of Python or R for data analysis* Understanding of statistics and data modeling concepts* Strong analytical and problem-solving skills* Excellent communication and presentation skills #J-18808-Ljbffr ...

role We are looking for a hands-on Senior Data Architect who is equally comfortable designing the target state for a multi-system SQL data estate, writing and tuning the T-SQL that delivers it, and standing up the security, monitoring and operational practices that keep it running. You will … warehouse and data lake to a modern dimensional model, finish the rollout of a principle-of-least-privilege security model across a multi-server SQL estate, and continue the migration of our reporting estate from SSRS to Power BI. You will set the technical direction for the data team ...

service manager pin down exactly how a KPI should be measured, you might have to map a process that has just changed, write a SQL query for an urgent request, or show a colleague that a dashboard can do everything their spreadsheet does, and more. What youll do: Working with … maintaining Power BI reports that support performance monitoring, regulatory compliance and day-to-day decisions Finding, querying and transforming data, mostly from our SQL Server reporting database, into reliable reporting tables Creating and improving Power Automate workflows that streamline our processes Helping to define KPIs and document business processes ...

self-service analytics for partners through well-designed reporting tools. Data Management & Tooling Work with large-scale datasets using modern platforms (e.g., Databricks, Spark, SQL-based systems). Ensure high standards for data quality, metric consistency, and instrumentation reliability. Collaborate with engineering to improve logging, tracking, and observability of search … Analytics, Statistics, Computer Science, or a related field (or equivalent practical experience) Significant experience in data analysis, business intelligence, or analytics roles Proficiency in SQL and Python for large-scale data analysis Advanced experience with data visualization and BI tools (e.g., Tableau, Power BI, Looker, matplotlib, seaborn) Experience working with ...

Engineering teams to build pipelines that are easier to test, release, monitor and maintain. The role is hands‐on, with a focus on Python, SQL, automation, good engineering practice and controlled delivery in a regulated environment. You’ll own defined MLOps components and pipelines, while working with senior colleagues … modern data and machine learning environment. The role is likely to involve: Python, including libraries such as Pandas, NumPy and scikit‐learn. SQL and large structured datasets. Cloud data platforms such as Snowflake, Databricks or similar. Git‐based version control and code review. CI/CD and automated testing using ...

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 ...

architecture, technology selection and engineering delivery. What youll be doing Own the reliability, security and evolution of the organisations data platform. Modernise an existing SQL Server, SSIS/SSDT and Power BI environment. Develop scalable batch and real-time data-processing capabilities. Lead the design of a Customer Data Platform. … Glue, Athena, Kinesis, RDS, IAM and CloudWatch. Lakehouse architectures and open table formats such as Iceberg. Medallion-style data layering and dimensional modelling. Strong SQL and Python development skills. Infrastructure as code using Terraform. CI/CD, automated testing and modern engineering practices. SQL Server, SSIS/SSDT and Power ...

expert in one or more data domains. Solve Real-World Problems with Modern Tools - Tackle complex data challenges using tools like Google BigQuery, Python, SQL, and DBT, with opportunities to experiment and optimise through AI. Lead & Mentor - Support and coach team members, sharing knowledge and acting as a role model … complex data models and distributed data pipelines, with a strong focus on data analysis, insight generation, and solving real-world business problems at scale. SQL Mastery - Advanced SQL skills for high-performance data transformation, exploration, and optimisation across large, complex datasets Engineering Best Practices - Solid foundation in software and data ...

data-led insight rather than gut feel. You'll work hands-on across Power BI, Excel (Power Query, Power Pivot, automation), and, where relevant, SQL and Python or VBA, and you'll have real scope to improve governance, automate manual processes, and even explore how agentic AI and intelligent automation … ability to define and track KPIs, and excellent communication skills, since you'll be presenting to finance and non-finance audiences alike. SQL, Python, advanced Excel, and experience with star or snowflake data models are all a bonus rather than a must. In return: 25 days' holiday plus bank holidays ...

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. ...

drive engineering best practices. This is a hands-on role for an experienced engineer with deep expertise in Databricks, dbt Cloud, Spark and SQL, who is passionate about delivering high-quality data solutions. You will play a key role in Primark's migration from Teradata to Databricks and the ongoing … Data Engineering Delivery: Design, build and optimise scalable data pipelines, ETL/ELT workflows and data transformation solutions using Databricks, PySpark, SQL and dbt Cloud, delivering trusted, high-quality data products that support reporting, analytics, AI and data science. Data Architecture & Modelling: Develop and maintain robust lakehouse architectures and reusable ...

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 ...