1 to 25 of 430 SQL Jobs in the Thames Valley

and CI/CD pipelines. Key Skills: Proven experience in Python programming for data analysis (pandas, numpy, Jupyter). Strong object-oriented programming and design pattern knowledge. Experience with SQL and relational databases. Familiarity with data visualisation tools (e.g., Plotly Dash, Power BI). Understanding of software development best practices (Git, CI/CD, testing). Exposure to cloud computing More ❯

role Proven experience in data analysis, engineering, or a related field, ideally within the built environment or engineering sector. Strong proficiency in data tools and languages such as Python, SQL, Power BI, or similar platforms for data manipulation and visualization. Familiarity with cloud-based data environments (e.g. Azure, AWS, or Google Cloud) and version control systems like Git. Experience working More ❯

Bachelor’s degree in a STEM field (Computer Science, Engineering, Maths, Physics). 2–4 years’ experience in a technical, data, or engineering-focused role. Strong skills in Python, SQL, and Excel/VBA . Experience building or maintaining ETL/data pipelines , particularly around APIs or FTP processes. Working knowledge of Microsoft Azure and Git . Excellent analytical, communication More ❯

engineers and analysts. Candidate Profile Proven experience leading data engineering or BI teams in complex organisations. Expertise in cloud data platforms and data processing services. Strong skills in Python, SQL, and Power BI (DAX, Power Query, data modelling). Knowledge of ETL/ELT pipelines, data warehousing, and data mesh architectures. Familiarity with AI/ML applications, metadata management, and More ❯

TensorFlow/PyTorch (for integration with .NET) Azure Cognitive Services/OpenAI/AI APIs Knowledge of RESTful APIs , microservices, and cloud platforms (Azure, AWS, or GCP) Familiarity with SQL and NoSQL databases Understanding of data preprocessing, feature engineering, and model deployment Experience with unit testing, CI/CD, and version control (Git) Strong problem-solving skills and attention to More ❯

with performance tuning and troubleshooting in complex environments. Data Systems Knowledge: Exposure to working in data-centric environments, supporting ETL/ELT pipelines or data processing services. Familiarity with SQL and NoSQL databases. Understanding of data privacy and security concepts. Tooling & Infrastructure: Experience with CI/CD pipelines, containerization (Docker/Kubernetes), and version control systems (e.g., Git). Ways More ❯

with performance tuning and troubleshooting in complex environments. Data Systems Knowledge: Exposure to working in data-centric environments, supporting ETL/ELT pipelines or data processing services. Familiarity with SQL and NoSQL databases. Understanding of data privacy and security concepts. Tooling & Infrastructure: Experience with CI/CD pipelines, containerization (Docker/Kubernetes), and version control systems (e.g., Git). Ways More ❯

problem-solving, debugging, and testing skills. Ability to work collaboratively in a dynamic, cross-functional environment. Experience with project management or Agile methodologies. Desirable: Programming skills in Python, JavaScript, SQL, Java, C#, or Ruby. Experience with Microsoft Cloud, AWS, cloud infrastructure, or Microservices architecture. Familiarity with Power Apps, Power BI, Microsoft Graph API, Azure Logic Apps/Functions, and Dataverse. More ❯

similar languages. Solid understanding of modern data engineering practices (ETL/ELT, data pipelines, data modelling). Experience with cloud platforms (AWS, Azure, or GCP). Strong knowledge of SQL and database design. Excellent problem-solving and communication skills. Familiarity with CI/CD, containerisation (Docker, Kubernetes), and modern DevOps practices. Exposure to regulatory reporting, compliance systems, or financial services More ❯

analysis, or migration roles — ideally within insurance or broking software. Proven experience managing broking system data migrations from legacy platforms (Acturis, Open GI, SSP, Applied, TAM, etc.). Strong SQL skills for data extraction, transformation, validation, and reconciliation. Experience with BI/reporting tools such as Power BI, Looker, or Tableau. Understanding of insurance data structures, including clients, policies, risks More ❯

explain technical concepts to non-technical stakeholders. Experience working in agile development environments . Passion for continuous learning and staying current with emerging data technologies. Technical Requirements Proficiency in SQL , including complex query design and optimisation. Strong Python programming skills, particularly with libraries such as pandas , NumPy , and Apache Spark . Experience building and maintaining data ingestion pipelines and optimising More ❯

Strong programming skills in Python, with experience building automation workflows, APIs, and data pipelines. Exposure to AI/ML frameworks (e.g. OpenAI, LangChain, TensorFlow, PyTorch). Solid knowledge of SQL and data warehousing concepts. Demonstrated experience with cloud platforms ( GCP & Azure preferred). Strong understanding of data modelling, transformation, and orchestration (e.g. dbt, Airflow, Azure Data Factory). Familiarity with 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 Proven track record in cross-team project management Passion for technology and automation Highly Valued: Investment Management exposure Senior More ❯

enterprise grade data solutions Strong hands-on experience with Snowflake (or comparable cloud data warehouses like BigQuery, RedShift, Synapse) including data modelling, performance tuning and cost management Familiarity with SQL best practices, ELT patterns, and modern data transformation frameworks such as dbt Competence in at least one programming language (Python preferred) for automation. Experience with cloud platforms (AWS, Azure, or 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 ❯

objectives and KPIs, and ensuring timely corrective action when required. Requirements – Essential/Desirable Proven experience as a BI Lead overseeing development and rollout of BI tools (Essential) Strong SQL proficiency with experience in data modelling, integration, and ETL processes (Essential) Understanding of Microsoft Azure data storage and analytics (Essential) Extensive Power BI experience including reports, dashboards, DAX, and Power 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 ❯

authentication, authorisation, and other security best practices. Maintain internal API and code documentation. Essential Skills Strong experience with React, TypeScript, Java, Spring Boot, and RESTful API development. Proficient with SQL databases and CI/CD tools. Hands-on experience with cloud platforms (AWS, Azure, or GCP). Solid understanding of software testing frameworks and secure coding practices. Experience working in More ❯

authentication, authorisation, and other security best practices. Maintain internal API and code documentation. Essential Skills Strong experience with React, TypeScript, Java, Spring Boot, and RESTful API development. Proficient with SQL databases and CI/CD tools. Hands-on experience with cloud platforms (AWS, Azure, or GCP). Solid understanding of software testing frameworks and secure coding practices. Experience working in 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 ❯

in data science, analytics, or applied machine learning. Strong coding ability in Python (or equivalent), with familiarity across cloud platforms (AWS, Azure, or GCP). Understanding of database technologies (SQL and NoSQL). Experience with CI/CD pipelines, software engineering best practice, and modern development workflows. Excellent communication and interpersonal skills — able to influence, advise, and collaborate effectively. Evidence More ❯

5+ years of experience in Data Engineering, with strong skills in data warehousing, BI, and big data. Team leadership and technical leadership Proficiency in Python and/or R, SQL, and CI/CD tools. Experience with AWS (preferred) or Azure, and tools like DBT and PowerBI. A problem-solving mindset with a passion for agile, iterative development. Ability to More ❯

give you the knowledge to understand how critical data is in our decision making to drive our business forwards. Responsibilities: Use tools such as SharePoint, Power BI and Databricks (SQL, Python) to perform basic data analysis. Create visualisations and dashboards to communicate insights effectively. Support the development of regular and ad-hoc reports for business. Work collaboratively with internal stakeholders More ❯

geospatial analytical background, including experience with ESRI ArcGIS, Power BI, and FME, Excel. Knowledge of wastewater industry, capability in additional geospatial tools, analytical tools and data management (e.g. Python, SQL, Databricks, Azure Data Factory) will be beneficial. Proven ability to produce detailed management reports. High attention to detail with the ability to understand the wider business context. Strong communication skills More ❯