1 to 25 of 343 SQL Jobs in the Thames Valley

models. Essential Skills & Experience 5+ years in data engineering, ideally at senior or lead level. Strong hands-on experience with Python , Azure Databricks , and Azure Synapse Analytics . Advanced SQL skills, including stored procedures and formal database design. Proven data modelling capabilities. Proficiency with Microsoft Azure data services and CI/CD pipelines. Experience integrating data across systems using APIs. More ❯

Liquid Template Experience leading teams and mentoring junior team members Experience using REST APIs (building of REST APIs nice to have) Experience in implementing and using other data stores (SQL/SharePoint/Lists) Experience working with testing strategies and tools for Power Platform solutions Experience working with ALM strategies for the Power Platform Experience with Agile methodologies and working More ❯

Technology, or a related field or relevant experience • Proficiency in Dynamics 365 and Power Platform (CRM, Customer Services, Sales and Marketing) • Strong knowledge of C# .NET, JavaScript, HTML, and SQL • Familiarity with Azure Services and working with and within DevOps practices • Understanding and managing enterprise size Dataverse instances • Expertise in tools and usage of XRM Toolbox • Excellent problem-solving and More ❯

ELT pipelines across diverse structured and unstructured data sources Data lakehouse and data warehouse architecture design Power BI for enterprise-grade reporting and visualisation Strong knowledge of data modelling, SQL, and governance best practices Consulting & Project Delivery Experience 8+ years in professional services or consulting, ideally with Microsoft data technologies Strong background in client-facing delivery and stakeholder engagement Excellent More ❯

ELT pipelines across diverse structured and unstructured data sources Data lakehouse and data warehouse architecture design Power BI for enterprise-grade reporting and visualisation Strong knowledge of data modelling, SQL, and governance best practices Consulting & Project Delivery Experience 8+ years in professional services or consulting, ideally with Microsoft data technologies Strong background in client-facing delivery and stakeholder engagement Excellent More ❯

of documentation and data security compliance Technical Skills (desirable): Microsoft Azure Data Services (e.g., Azure Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with More ❯

of documentation and data security compliance Technical Skills (desirable): Microsoft Azure Data Services (e.g., Azure Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with More ❯

data analytics, data science, and data modeling. Proven experience in building and maintaining enterprise-level data models. Strong working knowledge of data lineage and data dictionary management. Proficiency in SQL, Python, R, or other data science tools and frameworks. Experience leading data or analytics teams and mentoring junior staff. Strong communication and stakeholder management skills. Working experience of below skill More ❯

with evolving trends in data engineering and BI. What They’re Looking For Technical Experience 7+ years’ experience across data engineering, analytics, or data science. 5+ years of strong SQL/data modelling experience. Expertise building ETL/ELT pipelines across cloud-based platforms. Advanced Power BI skills and a deep understanding of scalable architecture. Familiarity with CRM/ERP More ❯

through collaborative work with engineering and architecture teams. Essential Experience & Skills: Proven background in Data Analysis, with approx. 4+ years in a senior or equivalent role. Strong experience in SQL (writing and optimising complex queries). Proficiency in Python (including libraries like Pandas, NumPy, SQLAlchemy). Experience working with large datasets , and advanced data modelling techniques. Ability to engage with More ❯

excellent communication skills with a consultative approach and a strong interest in influencing stakeholders. Tool experience required: Strong data visualisation using Power BI and coding ability using either normalisation, SQL, or Python). Desirable: Experience working in a Data warehouse, or lake environments e.g. Snowflake, Redshift, DataBricks, and ELT and data pipelines e.g. dbt Familiar with predictive analytics techniques Please More ❯

engineering solutions on cloud platforms, preferably Oracle OCI, AWS, or Azure Proficient in Python and workflow orchestration tools such as Airflow or Prefect Expert in data modeling, ETL, and SQL Experience with real-time analytics from telemetry and event-based streaming (e.g., Kafka) Experience managing operational data stores with high availability, performance, and scalability Expertise in data lakes, lakehouses, Apache More ❯

the data engineering role, ideally as a senior or lead engineer. Hands on experience of building and maintaining Python based Azure data bricks notebooks in Azure synapse analytics. Strong SQL experience, including programming ie, SQL queries and stored procedures, and formal database design methodologies. Experience in setting up monitoring and data quality exception handling. Strong data modelling experience. Experience managing More ❯

through collaborative work with engineering and architecture teams. Essential Experience & Skills: Proven background in Data Analysis, with approx. 4+ years in a senior or equivalent role. Strong experience in SQL (writing and optimising complex queries). Proficiency in Python (including libraries like Pandas, NumPy, SQLAlchemy). Experience working with large datasets , and advanced data modelling techniques. Ability to engage with More ❯

of cloud-based technology (IaaS, Docker, Kubernetes, OpenStack, monitoring system, authentication system, repository) Experience of writing infrastructure as a code (IaC) using Terraform Experience in various database repository model (SQL, NoSQL, S3, NAS) as a designer or administrator Experience in a large and complex distributed system with high availability and high scalability (using an application server, message-broker service, streaming More ❯

SC clearance is a bonus – otherwise, you must be eligible Nice to have (or we’ll help you get there): Cloud platforms (AWS, Azure) Containerisation (Docker, Kubernetes) Database systems (SQL, NoSQL, Graph) Configuration & deployment tools (Ansible) Exposure to Machine Learning frameworks (TensorFlow, AWS/Azure ML) The Package Up to £72,000 base salary Bonus scheme Hybrid working – London or More ❯

with BI tools (e.g., Power BI, Tableau) is an advantage. Excellent written and verbal communication skills. Ability to work collaboratively in a team environment. Preferred Qualifications Basic understanding of SQL or data querying. Previous internship or project experience involving data analysis. Interest in startups and small business operations. Benefits & Perks Paid internship with potential for full-time employment. Mentorship from More ❯

technical and business stakeholders. 🎓 Requirements: Bachelor’s or Master’s degree in a STEM field: Statistics, Mathematics, Computer Science, Engineering, or similar. Programming proficiency: Strong experience with Python and SQL; familiarity with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch. Machine learning expertise: Hands-on experience in supervised and unsupervised learning, with exposure to NLP, computer vision, or More ❯

doing the work, it’s about helping others understand what the data is saying. WHAT THEY’RE LOOKING FOR: Proven experience in customer, marketing or retail analytics roles Strong SQL skills — confident querying large datasets from cloud data platforms Familiarity with data visualisation tools (e.g. Power BI, Tableau) Experience with customer segmentation, campaign analysis, or store-level performance analytics Strong More ❯

of 2) Extensive Data Engineering and Data Analytics hands-on experience Significant AWS hands-on experience Technical Delivery Manager skills Geospatial Data experience (including QGIS) FME Advanced Database and SQL skills Certifications : AWS or FME certifications are a real plus. Experience with ETL tools such as AWS Glue, Azure Data Factory, Databricks or similar is a bonus. The role comes More ❯

development experience , with expertise in both backend and cloud services. Deep proficiency in Core Java (preferably Java 8) and the Spring/Spring Boot ecosystem. Strong background in MS SQL development, writing queries, stored procedures, managing jobs, and database administration. Skilled in writing robust unit and integration tests. Solid understanding and application of SOLID design principles. Extensive experience designing and More ❯

Git and modern source control workflows. Excellent communication and collaboration skills. Nice to Have: Experience with Azure Load Testing, JMeter, or Locust. Familiarity with Microsoft 365, SharePoint, and Teams. SQL proficiency and database testing experience. Azure certifications (e.g., AZ-400, AZ-104, or similar). Contribute your experience to cutting-edge software solutions - apply for this Software Developer in Test More ❯

Git and modern source control workflows. Excellent communication and collaboration skills. Nice to Have: Experience with Azure Load Testing, JMeter, or Locust. Familiarity with Microsoft 365, SharePoint, and Teams. SQL proficiency and database testing experience. Azure certifications (e.g., AZ-400, AZ-104, or similar). Contribute your experience to cutting-edge software solutions - apply for this Software Developer in Test More ❯

field, or equivalent. Proven experience in data warehousing, business intelligence, or a related field, or equivalent. Strong understanding of data lake architectures, data modelling, and ETL processes. Expertise in SQL and data visualization tools (e.g., Power BI). Excellent communication, interpersonal, and presentation skills. Connect to your business - Enabling Functions Collaboration is central to everything we do at Deloitte. From More ❯

production support experience. This person will be responsible for managing production support environment, stakeholder management. This position is for a senior role and with hands on experience in both SQL, PL SQL and Unix Shell scripting. The ideal candidate will work collaboratively with cross-functional teams, including software engineers, DevOps, and product managers, to deliver high-quality solutions that meet … business needs. Details of Job Description 8+ years of experience in the IT industry Flexible attitude. Technical Proficiency: Strong knowledge and work experience on SQL, PL SQL, Unix commands and Unix Shell Scripting Hands on experience in writing Joins, Queries, Sub Queries Scripting and Automation: Experience with scripting languages (e.g., Python, Go, Bash) for automation and tool development. Familiarity with More ❯