1 to 25 of 263 Permanent SQL Jobs in the Thames Valley

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 ❯

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 ❯

a fast-paced environment. Experience working with large datasets and multiple data sources. Familiarity with data visualisation tools such as Power BI. Experience using statistical tools and software (e.g., SQL, Python, R). Experience within the energy sector, particularly EV charging infrastructure desirable. A/B testing or experimentation experience desirable. Strong analytical and critical thinking skills with keen attention 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 ❯

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 ❯

. 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 ❯

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 ❯

STEM field. A solid academic basis within data analysis and science through an additional MSc would be an advantage. Data Tools: Previous experience with tools such as Excel, R, SQL or Python are an essential for this role. If you have utilised visualisation programmes such as Tableau or Power BI in projects before, we are also keen to hear from 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 ❯

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 ❯

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 ❯

a broad set of stakeholders and requires the ability to construct well-structured and reasoned narratives. Reasonable fluency in a scripting language (Python or Awk) for data analysis Basic SQL to access and analyse Oracle DB data Basic Unix skills Our systems are complex, need to be self-starting at using multiple resources (people, specifications, Confluence, legacy documents etc.) to More ❯

high volumes of data with excellent attention to detail Knowledge of a wide range of Generative AI models and techniques Conceptual understanding of large language models (LLMs) Proficiency in SQL and Python for data manipulation and AI development Experience with cloud-native tools on Azure and AWS Familiarity with dashboarding tools (Power BI, Tableau) is a plus Strong analytical and 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 ❯

across a diverse mix of technology environments and architectures, from fully open source/bespoke environments through to fully proprietary, Enterprise and COTS-based. Strong scripting/programming skills - SQL essential, others such as Python, Java/JavaScript, C# very welcome. API & Web Services - REST/RESTFul, SOAP, XML, JSON Cloud Platform proficiency - Knowing how to deploy, manage, and integrate More ❯

across a diverse mix of technology environments and architectures, from fully open source/bespoke environments through to fully proprietary, Enterprise and COTS-based. Strong scripting/programming skills - SQL essential, others such as Python, Java/JavaScript, C# very welcome. API & Web Services - REST/RESTFul, SOAP, XML, JSON Cloud Platform proficiency - Knowing how to deploy, manage, and integrate More ❯

across a diverse mix of technology environments and architectures, from fully open source/bespoke environments through to fully proprietary, Enterprise and COTS-based. Strong scripting/programming skills - SQL essential, others such as Python, Java/JavaScript, C# very welcome. API & Web Services - REST/RESTFul, SOAP, XML, JSON Cloud Platform proficiency - Knowing how to deploy, manage, and integrate 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 ❯

Engineer, working on scalable systems You have Python, Java or Scala coding skills You have experience with Kafka for data streaming including Kafka Streams and KTables You have strong SQL skills (e.g. PostgreSQL, MySQL) You have strong AWS knowledge, ideally including S3 and Lambda You have a good understanding of data modelling and batch/streaming ETL/ELT patterns More ❯

technical solutions to clients Champion SOC2 compliance and security best practices Tech Stack: Frontend: React.js, TypeScript, HTML5, CSS3, Tailwind CSS Backend: .NET, Node.js, Python, RESTful APIs Database: PostgreSQL, MS-SQL, Redis Cloud/DevOps: Azure DevOps, AWS, CI/CD pipelines What are we looking for? Ample experience developing enterprise-grade applications Mobile-responsive design and Progressive Web Apps Production More ❯

technical solutions to clients Champion SOC2 compliance and security best practices Tech Stack: Frontend: React.js, TypeScript, HTML5, CSS3, Tailwind CSS Backend: .NET, Node.js, Python, RESTful APIs Database: PostgreSQL, MS-SQL, Redis Cloud/DevOps: Azure DevOps, AWS, CI/CD pipelines What are we looking for? Ample experience developing enterprise-grade applications Mobile-responsive design and Progressive Web Apps Production More ❯