1 to 25 of 255 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 ❯

alongside commercial teams. • 5+ years of experience with analytical tools such as Power BI and Azure Data Studio. • Strong data analysis skills with advanced Excel expertise. • Proven experience with SQL and Python. • Ability to translate large datasets into actionable insights. • Strong communication skills, with the ability to present data-driven findings to senior stakeholders. • Proficiency in creating impactful presentations in 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

in a small, agile team, with full ownership of dashboarding and reporting tools. YOUR SKILLSET: 3+ years in a commercial, analytical role – media, tech, or FMCG a plus Strong SQL Strong Data Visualisation/Reporting experience, in the likes of Power BI, Tableau or Looker Able to simplify complex data for non-technical leaders Self-starter comfortable working autonomously WHY More ❯

8+ years’ experience in data engineering within financial markets. Exposure to at least one of: Front Office (Sales & Trading), Risk Management, or Finance. Strong programming in Python, Java and SQL (Rust a plus). Proven experience building streaming and batch ETL/ELT pipelines at scale. Strong understanding of market/trade data lifecycles and time series concepts. Experience with More ❯

based in plush City office on a fulltime basis, Monday to Friday. About you: You have expertise with C# .Net, ASP.Net development You have a strong knowledge of databases (SQL or Oracle) You're comfortable with JavaScript/React You have a thorough knowledge of Computer Science fundamentals such as OOP, Design Patterns, Data Structures, Algorithms You are collaborative with More ❯

or Senior BA in a complex, data-driven environment. Extensive experience and knowledge of the Lloyd’s or London Market data environment. Solid understanding of BI and data technologies (SQL, SSRS, Power BI) and relational database/reporting architectures. Excellent stakeholder engagement, communication, and problem-solving skills, with the ability to explain technical concepts to non-technical audiences. Experience producing More ❯

insurance, reinsurance or InsurTech. Experience with pricing or rating systems, underwriting workflows or model integration projects. Strong understanding of insurance data structures, rating factors and model governance. Skilled in SQL and BI tools (Power BI, Tableau, Looker). Comfortable working with APIs, data pipelines and collaborating with developers. Excellent communication and stakeholder management skills. Desirable: Exposure to cloud environments (AWS More ❯

5+ years of experience building large-scale, production-grade web applications. Strong proficiency with React, TypeScript/JavaScript, HTML, and CSS . Proven experience with C#, .NET Core , and SQL-based databases . Understanding of Design Patterns and SOLID principles . Experience designing and consuming RESTful APIs . Familiarity with Azure or other cloud platforms and configuration management. Experience with More ❯

strong understanding of Microsoft’s ecosystem and the ability to translate business needs into smart, scalable solutions. • Proven experience with Microsoft 365 and Power Platform (PowerApps, PowerAutomate, Dataverse) • Strong SQL skills, including data modeling, performance tuning, and ETL processes • Hands-on experience with SharePoint, Teams, and Exchange integration • Experience with Azure DevOps, API integration, and application lifecycle management • Excellent communication More ❯

able to evidence prior leadership experience in a similar role. You will have strong Mobile Network domain knowledge. You will be proficient in programming languages (such as Python, R, SQL, etc.). You will be an expert in data visualisation tools (Power BI, Tableau - Tableau preferred). You will have knowledge of machine learning algorithms and their applications. Hands-on More ❯

data warehousing, or cloud-based data engineering. Deep technical expertise in the Microsoft ecosystem - Power BI/Fabric, Azure, and Power Platform (Power Apps, Power Automate). Proficiency in SQL and data modelling, with a strong understanding of data governance and performance optimisation. Solid understanding of automation technologies and their application at scale. Experience in Agile delivery environments, balancing quality More ❯

Experience with Salesforce integrations (APEX REST APIs, MuleSoft, Data Loader, middleware solutions). Azure Cloud & DevOps Hands-on experience with Azure services (Azure Functions, Logic Apps, API Management, Azure SQL, etc.). Expertise in Azure DevOps, CI/CD pipelines, and Infrastructure as Code (Terraform, ARM templates). Strong understanding of Azure security best practices, identity management (Azure AD), and More ❯

Perm Salary: £65,000 - £75,000 pa Hybrid 3 days per week on site Our client a leading software development company based in Slough, seeking a highly skilled Oracle SQL & PL/SQL Developer with 10+ years of experience to join our dynamic team. This position offers the chance to work on large-scale, complex information systems within a fast … paced environment. Key Requirements: 10+ years of programming experience with Oracle SQL & PL/SQL, particularly in large-scale information systems High proficiency in Oracle SQL & PL/SQL , with a strong focus on writing clean, efficient code A solid understanding of configuration management and issue tracking systems Knowledge of HTML, JavaScript, Java, JSON , and a willingness to learn new More ❯

analytics, or automation, ideally within financial services, consulting, or a data-heavy technical environment. Strong programming ability in Python (including libraries such as pandas and NumPy ) and proficiency with SQL . Confident working with ETL frameworks , data modelling principles, and modern data tools (Airflow, Kafka, Spark, AWS). Experience working with large, complex datasets from structured, high-quality environments — e.g. More ❯