1 to 25 of 267 SQL Jobs in the Thames Valley

the role • Develop and maintain data pipelines using Azure Data Factory (ADF), ensuring efficient and reliable data movement and transformation. • Data Modelling using Kimball, 3NF or Dimensional methodologies • Utilize SQL and Python languages to extract, transform, and load data from various sources into Azure Databricks and Azure SQL/SQL Server. • Design and implement metadata driven pipelines to automate data … required Skills and Experience we are going to be seeking out. For this role we'd be expecting to see: • Solid experience in Azure, specifically Azure Databricks and Azure SQL/SQL Server. • Proficiency in SQL and Python languages. • Hands-on experience in designing and building data pipelines using Azure Data Factory (ADF). • Familiarity with building metadata driven pipelines. 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 ❯

skills with a keen attention to detail. Basic knowledge of data visualization tools, particularly Power BI. Familiarity with data management platforms, especially Palantir ecosystem, is a plus. Proficiency in SQL and experience with Python, R or TypeScript is desirable. Excellent communication skills, both written and verbal, with the ability to present complex information clearly. Ability to work independently as well More ❯

skills with a keen attention to detail. Basic knowledge of data visualization tools, particularly Power BI. Familiarity with data management platforms, especially Palantir ecosystem, is a plus. Proficiency in SQL and experience with Python, R or TypeScript is desirable. Excellent communication skills, both written and verbal, with the ability to present complex information clearly. Ability to work independently as well More ❯

skills with a keen attention to detail. Basic knowledge of data visualization tools, particularly Power BI. Familiarity with data management platforms, especially Palantir ecosystem, is a plus. Proficiency in SQL and experience with Python, R or TypeScript is desirable. Excellent communication skills, both written and verbal, with the ability to present complex information clearly. Ability to work independently as well 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 ❯

emerging tools and platforms What You'll Bring Essential Experience: University degree (2:1 minimum) in analytical field 5+ years in analytics/intelligence function Expert-level: Databricks, Python, SQL, Excel, JavaScript Advanced Excel skills including macro development Experience with Qlik or similar BI platforms Proven track record in cross-team project management Passion for technology and automation Highly Valued 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 ❯

Google, Microsoft, HMRC). Ensure seamless data integration between Zoho and Sage. Technical Stack Languages & Frameworks: C#, .NET 7/8, .NET Framework, WinForms, ASP.NET, Xamarin Database & Reporting: T-SQL, SSRS, Entity Framework/EF Core Tools & Platforms: IIS, Azure DevOps, Git Personal Attributes Strong problem-solving and analytical skills. High attention to detail in coding, data integration, and reporting. More ❯

with data governance and compliance regulations (e.g., GDPR, HIPAA). • Strong experience of Agile practises and especially scrum of scrums and Atlassian tooling. • Proficiency in database management systems (e.g., SQL, NoSQL). • Experience of data analytics tool such as Python and R. • Data modelling tooling such as Power Designer. • Experience of BI tools. • Experience of working with Data Office departments. 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 ❯

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 ❯

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 ❯

analytical role (e.g., Business Analyst, Data Analyst, Strategy Analyst) within a consulting firm, tech company, or product-led organization. You possess a strong quantitative background and are proficient in SQL, Python, R, or other data analysis tools. Experience with data visualization platforms (e.g., Tableau, Looker, Power BI) is essential. You are a structured problem-solver who breaks down complex, ambiguous More ❯

analytical role (e.g., Business Analyst, Data Analyst, Strategy Analyst) within a consulting firm, tech company, or product-led organization. You possess a strong quantitative background and are proficient in SQL, Python, R, or other data analysis tools. Experience with data visualization platforms (e.g., Tableau, Looker, Power BI) is essential. You are a structured problem-solver who breaks down complex, ambiguous More ❯

analytical role (e.g., Business Analyst, Data Analyst, Strategy Analyst) within a consulting firm, tech company, or product-led organization. You possess a strong quantitative background and are proficient in SQL, Python, R, or other data analysis tools. Experience with data visualization platforms (e.g., Tableau, Looker, Power BI) is essential. You are a structured problem-solver who breaks down complex, ambiguous 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 ❯

Technical Skills: Degree or equivalent experience in data science, analytics, or a related field. Proven experience of creating and maintaining data pipelines. Experience of Advanced Excel, Azure Databricks, Advanced SQL, working knowledge of PowerBI, and exposure to GIS. GDPR awareness and compliance. Desirable: Understanding and exposure to databases, interfaces, business systems and work force management solutions Knowledge of Microsoft Azure More ❯

and archival strategies in cloud environments. Strong understanding and practical implementation of Medallion Architecture (Bronze, Silver, Gold layers) for structured data processing. Advanced programming skills in Python, PySpark, and SQL, with the ability to build modular, efficient, and scalable data pipelines. Deep expertise in data modeling for both relational databases and data warehouses, including Star and Snowflake schema designs. Extensive 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 ❯

. Proven ability to translate business requirements into BI solutions. Good understanding of data warehousing, ETL, and data modelling. Strong knowledge of data quality, governance, and management. Proficiency with SQL and cloud-based databases. Effective communicator for both technical and non-technical audiences. Experience documenting BI solutions, including data dictionaries and metadata. Hands-on experience with Qlik Sense and NPrinting. More ❯

. Proven ability to translate business requirements into BI solutions. Good understanding of data warehousing, ETL, and data modelling. Strong knowledge of data quality, governance, and management. Proficiency with SQL and cloud-based databases. Effective communicator for both technical and non-technical audiences. Experience documenting BI solutions, including data dictionaries and metadata. Hands-on experience with Qlik Sense and NPrinting. More ❯

practices Your Skills: Proven experience in an analytical role, focused on customer analytics Experience in customer focused projects such as customer lifetime value, propensity, churn, segmentation and more Strong SQL skills and proficiency in Python or R preferred Expertise in building interactive dashboards using tools such as Power BI, Tableau, or Looker Solid understanding of statistics and advanced analytical techniques More ❯

members and other departments. Advanced knowledge in system architecture, software design patterns, and coding standards. Hands-on experience with multiple programming languages and technologies, such as Java, Oracle & Microsoft SQL, Linux, MOCA, Page Builder. Excellent analytical and problem-solving skills, with the capability to tackle complex technical challenges and make informed decisions. Exceptional verbal and written communication skills, with the More ❯