126 to 150 of 477 SQL Jobs in Berkshire

for cleaning, enriching, and aggregating data. Ensure data consistency and accuracy throughout the data lifecycle. Azure Databricks Implementation: Work extensively with Azure Databricks Unity Catalog, including Delta Lake, Spark SQL, and other relevant services. Implement best practices for Databricks development and deployment. Optimise Databricks workloads for performance and cost. Need to program using the languages such as SQL, Python, R … Scala. Deep understanding of data warehousing principles, data modelling techniques, and data integration patterns. Extensive experience with Azure data services, including Azure Data Factory, Azure Blob Storage, and Azure SQL Database. Experience working with large datasets and complex data pipelines. Experience with data architecture design and data pipeline optimization. Proven expertise with Databricks, including hands-on implementation experience and certifications. … Experience with SQL and NoSQL databases. Experience with data quality and data governance processes. Experience with version control systems (e.g., Git). Experience with Agile development methodologies. Excellent communication, interpersonal, and problem-solving skills. Experience with streaming data technologies (e.g., Kafka, Azure Event Hubs). Experience with data visualisation tools (e.g., Tableau, Power BI). Experience with DevOps tools and More ❯

Strong expertise in Power BI (Power Query, Power BI Desktop, Power BI Service, DAX, and M Query) Experience designing data models and ETL processes within Power BI Proficiency in SQL for querying and transforming data from various sources Understanding of Azure services (e.g., Azure Synapse, Azure Data Factory, Azure SQL) Knowledge of Power Automate and Power Apps integration with Power … BI Experience with non-Microsoft data sources (Snowflake, Oracle, PostgreSQL, MySQL, Synapse, Big Query) advantageous Row Level Security (Analysis Services, PowerBI.com, SQL Server) Performance optimisation (Partitioning, Understanding of columnar database concept, SQL indexing) Troubleshooting (SQL Profiler or other profiler tools, Tabular Editor, DAX Studio, Power BI datasets, RLS security) Business & Consulting Skills Strong ability to gather requirements and translate them More ❯

startup environment, is comfortable experimenting and iterating quickly, and is excited to work at the frontier of AI-driven products and agentic systems. Essential: Strong proficiency in Python and SQL for data engineering tasks NoSQL experience (e.g. MongoDB, Cassandra) Experience with message queues and publish-subscribe (e.g. NATS, RabbitMQ etc.) Proven experience designing, building, and maintaining data pipelines. Containerization experience More ❯

change, and foster a culture of data-driven decision-making across the firm. Strong problem-solving ability with experience balancing business insight and technical depth (data governance, Power BI, SQL, Azure). Confident engaging both technical and non-technical audiences, with a track record of structured governance, measurable outcomes, and resilience in a fast-paced environment. Head of Data More ❯

the lead on cloud infra design , deployment, and automation What You Bring 5+ years building data platforms in systematic trading, fintech, or high-throughput environments Mastery of Python and SQL – C++ is a plus Experience with cloud-native stacks (ideally AWS ) and interest in infrastructure as code A structured, pragmatic mindset with strong ownership and autonomy Ability to work closely More ❯

driven. Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu More ❯

driven. Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu More ❯

driven. Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu More ❯

driven. Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu More ❯

in deep learning architectures (e.g., attention models, transformers, retrieval models). Hands-on experience with LLMs and GenAI technologies. Strong programming and problem-solving skills with proficiency in Python, SQL, Spark, and Hive. Deep understanding of classical and modern ML techniques, A/B testing methodologies, and experiment design. Solid background in ranking, recommendation, and retrieval systems. Familiarity with large More ❯

What we’re looking for: 4+ years’ experience building enterprise-grade applications. Strong backend skills in Python (FastAPI, Flask) with experience designing APIs and integrating databases (e.g. GraphDB, CosmosDB, SQL). Solid frontend development skills in React, TypeScript/JavaScript, HTML, and CSS . Experience developing scalable, cloud-based solutions — Azure preferred. Understanding of modern development best practices, including agile More ❯

and integrate active learning loops that improve AI models over time. REQUIREMENTS 2 years of proven experience in data engineering for ML/AI, with strong proficiency in Python, SQL, and distributed data processing (e.g., PySpark). Hands-on experience with cloud data platforms (GCP, AWS, or Azure), orchestration frameworks (e.g., Airflow), and ELT/ETL tools. Familiarity with 2D More ❯

programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R is also welcome A solid understanding of core machine learning concepts, data wrangling, and model evaluation Proficiency with SQL and experience handling large datasets A passion for solving complex problems using data and a continuous learning mindset Excellent communication and collaboration skills Full right to work in the UK More ❯

native tools for supply/demand modelling and market data analysis Collaborate closely with traders and technical teams to deliver impactful solutions What You'll Bring: Strong Python and SQL expertise Experience with AWS and Snowflake Familiarity with Docker/Kubernetes, CI/CD, and Linux Background in trading is highly desirable Ability to communicate effectively with both technical and More ❯

front office. Strong understanding of the investment process - portfolio construction, allocation and risk management. Analytical skills - to deep-dive into current tools and workflows. Software Engineering background - Java, Python, SQL, Node.js, Next.js, React, AWS, in a microservices environment. Leadership skills in designing and delivering scalable technology solutions, and the mentoring of junior talent. Our client is based in central London More ❯

strategic planning through data-led insights Translate technical outputs into clear commercial recommendations YOUR SKILLS AND EXPERIENCE 3–5 years’ experience in analytics or commercial data roles Proficient in SQL and Power BI (Python or DOMO experience desirable) Confident operating in smaller data teams and owning analytics delivery Strong commercial mindset and stakeholder management skills BENEFITS Salary up to More ❯

home. Essential experience: Degree in STEM subject from a Russell Group or Red Brick University Experience leading software development teams Knowledge of either C# or React Strong experience with SQL Source control, ideally Git Agile Any experience in the following would be advantageous: Latest versions of .NET AI, Machine Learning JavaScript, TypeScript and associated frameworks Containers, Docker, Kubernetes NoSQL Test More ❯

home. Essential experience: Degree in STEM subject from a Russell Group or Red Brick University Experience leading software development teams Knowledge of either C# or React Strong experience with SQL Source control, ideally Git Agile Any experience in the following would be advantageous: Latest versions of .NET AI, Machine Learning JavaScript, TypeScript and associated frameworks Containers, Docker, Kubernetes NoSQL Test More ❯

collaborative environment. Experience: Minimum 3 years experience as a software engineer. Front-end experience with React, MUI, AG-Grid, and ECharts. Advanced proficiency in C and Python (required). SQL expertise preferred. Strong communication, organizational skills, and ability to multitask. Ability to work independently and collaboratively with a global team. Prior buyside experience is essential. Compensation: Salary and benefits are More ❯

of responsive design, accessibility, and UX best practices. Experience with Docker, AWS, and CI/CD pipelines. Knowledge of Git, version control, and deployment automation. Familiarity with REST APIs, SQL optimisation, or async programming is a plus. This is an exciting opportunity to work on cutting-edge projects that combine data, AI, and real-world impact in a friendly, creative More ❯

on brand performance, customer engagement, and operational efficiency. Contribute to ongoing platform development and performance tracking. Skills and Experience Required 2+ years’ experience in data or analytics engineering. Strong SQL and Python skills. Experience with GCP ( Cloud Run , DataForm ), Mage OR Airflow. BI/visualisation experience (any modern tool). STEM university degree. Comfortable in a fast-paced, hands-on More ❯

cross-functional teams to enable smarter use of data across digital and physical channels. Lead, mentor, and grow a high-performing data team. Tech Stack GCP | Power BI | Omni | SQL | Python | DBT | Docker Your Background Proven experience leading data teams across engineering, analytics, and BI. Strong technical understanding of modern data platforms and pipelines. Skilled in stakeholder management, governance, and More ❯

Tensorflow/Pytroch Deploying ML models Good command of Python and use of libraries for data science – scikit-learn, NumPy, matplotlib Relation database experience with data manipulation skills in SQL and large “Big Data” environments. Command knowledge in Python and API Development Excellent grasp of software Engineering practices – Object Orientated Programming, GIT, AWS) CI/CD practices NoSQL Databases Candidates More ❯

full spectrum of data analysis, from high-level models down to individual fields. Essential Requirements Demonstrated experience in data analysis within an IT or technical environment. Strong proficiency in SQL and scripting languages including Python or R. Practical experience with RESTful API design, documentation (e.g. Swagger/OpenAPI), and testing tools (e.g. Postman). Working knowledge of cloud platforms (primarily More ❯

and driving better decisions. What We’re Looking For 8+ years of experience in Data Analytics or Data Science , ideally within Customer Success, Operations, or Digital Experience domains. Strong SQL skills for data extraction, transformation, and pipeline development. Proficiency with data visualization tools (Tableau, Qlik, or similar). Experience with big data platforms (Snowflake, Databricks, Spark) and ETL processes . More ❯