1 to 25 of 179 Permanent SQL Jobs in Berkshire

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

understand complex data structure and to apply advanced blending and refinement techniques including big data and knows how to apply advanced data preparation and refinement techniques Significant experience leveraging SQL and Python for data querying Experience with different visualizations tools such as Tableau or PowerBI Experience in intermediate statistics Have knowledge of big data platforms Ability to present complex issues More ❯

.NET Developer, .NET 9, C# - Consultancy - Bracknell (Tech stack: .NET Developer, .NET 9, ASP.NET, C#, React, Angular 19, Microservices, Vue.js, TypeScript, Azure, Web API 2, 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 to investment banks, financial services companies, prestigious More ❯

Partner with data engineers, developers, and business teams for seamless data integration and delivery. Required Skills Strong experience in data analysis , business alignment , and KPI validation Proficiency with Snowflake , SQL , ETL , and data modeling Experience with Qlik Sense or similar BI tools Solid understanding of data visualization , UX , and dashboard design Analytical and problem-solving mindset Good communication skills and More ❯

day with precision while also identifying transformational opportunities for sales productivity. 🔑 What You’ll Bring Must-Have Skills 5+ years in Sales Ops/Rev Ops roles Proficient in SQL and Python (Pandas, PySpark) Strong experience with cloud data platforms (Databricks, Snowflake, GCP) Background in building ETL/ELT solutions and data modelling Advanced Excel/Power BI/VBA More ❯

s degree in Business, Data Analytics, Finance, or a related field is preferred. Analytical Skills: Strong analytical and problem-solving skills with proficiency in data analysis tools (e.g., Excel, SQL). Tech Savvy: Experience with CRM systems (e.g., Salesforce) and familiarity with BI tools (e.g., Tableau, Power BI). Attention to Detail: Ability to manage multiple projects with a high More ❯

of day and usage patterns Building dashboards and reports to monitor operational and commercial KPIs Supporting strategic planning as the business expands across the UK SKILLS & EXPERIENCE REQUIRED Strong SQL and Python skills Experience with data visualisation tools (Power BI preferred, but flexible) Proven background in analytics or data science, ideally in a commercial or operational context Exposure to predictive More ❯

as VaR and stress testing. Knowledge of energy markets (preferably Gas and LNG). TECHNICAL REQUIREMENT Strong proficiency with Microsoft Office products, including Excel, VBA, Power BI, PowerPoint and SQL, other skills Alteryx and Python will be useful, with experience in automating reporting and risk processes. Knowledge of Allegro/FEA/Topez is desirable. PERSON SPECIFICATION: Excellent quantitative analytical More ❯

the CI/CD pipeline. Implement and document security best practices and internal engineering standards. Monitor event-driven systems and trading flows for reliability and latency. Write and optimize SQL queries for data retrieval, validation, and analysis. Requirements Degree in Computer Science, Engineering, Mathematics, or Physics. Demonstrable interest in technology, automation, and system reliability. Strong knowledge of Python and Bash More ❯

ML frameworks (PyTorch, TensorFlow) Solid understanding of CI/CD, Git, testing, and agile methodologies Hands-on experience with Linux, Docker, and containerized deployments Familiarity with data engineering concepts (SQL, ETL, data lakes) Experience with orchestration frameworks like LangChain, LangGraph, or Semantic Kernel Cloud deployment experience (AWS, GCP, Azure) Work on high-impact AI projects that shape the future of More ❯