1 to 25 of 220 SQL Jobs in the Thames Valley

Engineer, Web Developer, or Data Engineer. Bachelor's or Master's degree in Computer Science, Engineering, or a STEM field. Proficiency in Python and SQL for back‐end logic and data operations. Hands‐on experience with front‐end frameworks such as React or Next.js. Experience creating and maintaining APIs, working ...

best fit the individual needs of the business Skills and Experience Hands-on experience Azure services such as Synapse, Data Factory or Databricks Strong SQL skills Proficiency in Python and/or PySpark Experience with Power BI and data modelling What is on offer Salary up to £65,000 Fully ...

Excellent analytical, problem-solving, and communication skills. Ability to work independently and manage multiple priorities in a fast-paced environment. Technical Skills Proficiency in SQL and advanced Excel. Strong understanding of: Relational database concepts Data modelling ETL processes Data governance principles Tools & Methodologies Experience working in Agile/Scrum environments. ...

knowledge across the team Essential experience 3+ years working as a Data Engineer or in a similar data-focused engineering role Strong Python and SQL skills Experience building and orchestrating data pipelines (Airflow or similar tools) Hands-on work with cloud platforms (AWS and/or Azure) Solid understanding ...

domains: Data science stack: NumPy, pandas/polars, scikit-learn, XGBoost, LightGBM Deep learning: PyTorch, JAX Statistical programming: NumPyro, PyMC Data skills: Proficient in SQL, with the ability to write efficient, maintainable queries and manage data pipelines for analytics and modeling workflows. ML Ops & deployment: Familiarity with deploying models into ...

this role, you will have: Hands-on experience creating data pipelines using Azure services such as Synapse, Data Factory or Databricks Strong understanding of SQL and Python/PySpark Experience with Power BI and data modelling Commercial experience with Microsoft Fabric would be advantageous Some of the package/role ...

this role, you will have: Hands-on experience creating data pipelines using Azure services such as Synapse, Data Factory or Databricks Strong understanding of SQL and Python/PySpark Experience with Power BI and data modelling Commercial experience with Microsoft Fabric would be advantageous Some of the package/role ...

this role, you will have: Hands-on experience creating data pipelines using Azure services such as Synapse, Data Factory or Databricks Strong understanding of SQL and Python/PySpark Experience with Power BI and data modelling Commercial experience with Microsoft Fabric would be advantageous Some of the package/role ...

this role, you will have: Hands-on experience creating data pipelines using Azure services such as Synapse, Data Factory or Databricks Strong understanding of SQL and Python/PySpark Experience with Power BI and data modelling Commercial experience with Microsoft Fabric would be advantageous Some of the package/role ...

markets, trading, or applied ML Nice to Have Experience with APIs, JSON, or data pipelines Familiarity with back testing, signals, or quantitative strategies Basic SQL knowledge Exposure to financial or commodities markets Tech & Tools You'll Work With Python, AWS, CI/CD REST APIs & real-time data pipelines ...

innovative ways to monetize or optimize our data assets We Are Looking For Someone Who Expertise in data analysis tools and languages (e.g., SQL, Python/R, Tableau/Power BI) for querying, manipulating, and visualizing large datasets Strong background in statistics, hypothesis testing, and exploratory data analysis techniques Proven ...

full-stack development using any object oriented language (we use .NET) and any modern javascript framework (we use React) Experience working with databases (SQL and NoSQL), APIs, and web technologies. Experience with cloud platforms (AWS, GCP, Azure) Solid understanding of software engineering principles, including clean code, testing, and version control ...

support finance reporting Contribute to Azure platform design and data standards What you’ll need Strong Azure & Databricks engineering experience Advanced Power BI + SQL (SSIS a bonus) Solid data modelling (star schema, medallion, ETL patterns) Confident working with messy/complex data sources Performance tuning & optimisation skills Contract details ...

qualified entry-level professionals is on the rise. With our Data Analytics career programme we will provide you with: 8 training modules: Excel, SQL, Python, R, Tableau, Power BI, CompTIA Data+ & Azure AI Fundamentals 3 official examinations: Microsoft Power BI Data Analyst, CompTIA Data+, & Microsoft Azure AI Fundamentals 100+ hours ...

Technical Skills: Proficiency in Java and its related frameworks (e.g., Spring Boot, Maven, Gradle), knowledge of web services, and understanding of database technologies like SQL/Oracle are often required. • Soft Skills: Excellent communication, problem-solving, analytical, and interpersonal skills are essential for collaborating with diverse teams and stakeholders. • Industry ...

data pipelines Required Qualifications • 3+ years of experience as a Data Engineer • Strong experience with Databricks and Apache Spark • Proficiency in Python (required); SQL (advanced) • Hands-on experience with AWS or Azure cloud services: o AWS: S3, EMR, Glue, Redshift, Lambda, IAM o Azure: ADLS Gen2, Azure Databricks, Synapse, Data ...

Strong foundation in statistical modeling, probability, hypothesis testing, regression analysis, and multivariate calculus/linear algebra for understanding model mechanics. Databases & Querying: Proficiency in SQL for extracting, manipulating, and preparing data from relational databases. Experience with NoSQL databases is a plus. Big Data/Cloud: Experience with big data tools ...

Strong understanding of programming fundamentals and object-oriented principles Familiarity with at least one modern language (Java, C#, Python, JavaScript, etc.) Basic knowledge of SQL and version control (Git) A genuine passion for technology - someone who enjoys coding, experimenting, learning new tools, and tinkering Strong problem-solving skills and attention ...

growth opportunities.- Support strategic projects across Sales, Marketing, Finance and more. Ideal experience: - 5+ years’ experience in commercial or data analytics.- Advanced Excel, solid SQL, and experience with BI tools (Power BI ideal).- Strong communicator able to simplify complex data.- Highly organised, analytical, and proactive. Education: - Degree in Maths ...

qualified entry-level professionals is on the rise. With our Data Analytics career programme we will provide you with: 8 training modules: Excel, SQL, Python, R, Tableau, Power BI, CompTIA Data+ & Azure AI Fundamentals 3 official examinations: Microsoft Power BI Data Analyst, CompTIA Data+, & Microsoft Azure AI Fundamentals 100+ hours ...

large-scale data pipelines Practical expertise with Databricks and Azure services Confident communicator with strong problem-solving ability Core Technologies Databricks DBT Python PySpark SQL Azure If you are interested in this role then please apply via this platform or email me a copy of your most up to date ...

/CD experience Working closely with business analyst and, data engineers Knowledge and experience of Test Drive Development Good hands-on experience with SQL ...

Consultancy - Bracknell (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, Blazor, JavaScript, React, Microservices, Azure, ASP.NET Core Web API, Agile, Azure SQL, Programmer, Full Stack Engineer, Architect, .NET Developer) Our client is an award winning Microsoft consultancy. They specialise in delivering innovative .NET technology based business solutions ...

years of hands-on experience in data analytics. Commercial experience with DBT and Snowflake. A very keen interest and experience in AI. Proficiency in SQL, Python, and Excel. Experience with version control tools (e.g. Git). A passion for using data to make things better—for people, products, and processes. ...

Python for development, coupled with the ability to optimize and refactor data pipelines for improved performance and scalability. Database Expertise: Advanced knowledge of SQL is mandatory, alongside a strong understanding of various database technologies (NoSQL, time-series databases) and deep competence in data modeling principles. Workflow Orchestration: Strong working knowledge ...