26 to 50 of 135 SQL Jobs in Slough

property, new sites, and technology. Developing reports and analysis to support investment and capital planning. Identifying trends, risks, and opportunities using advanced analytics. Requirements: Strong data and analytical skills (SQL, Advanced Excel, Power BI with Python/Amazon RDS desirable). Experience in investment, property, or multi-site businesses. Proven consulting skill-set. Ability to translate complex challenges into actionable More ❯

build, and optimise scalable data pipelines and models that power analytics across the company. Key Skills: 3–5+ years as a Data Engineer Hands-on with Databricks, Spark, Python, SQL Cloud experience (Azure, AWS, or GCP) Strong understanding of data quality, governance, and security Nice to Have: Delta Lake, DBT, Snowflake, Terraform, CI/CD, or DevOps exposure You’ll More ❯

in consulting with experince in analytics, or transformation roles ✅ Strong experience in Power BI/Tableau + advanced Excel ✅ Understanding of data strategy, governance, and AI adoption ✅ Exposure to SQL, Alteryx, PowerApps, or Azure (a plus) ✅ Excellent communication and stakeholder management skills ✅ Adaptable, proactive, and growth-minded 🚀 This is your chance to join a growing Technology, Data & AI practice at More ❯

/.Net experience – they use .Net 8 on this project. Ideally have worked with Python which is used across the business. Good understanding of the Azure toolset – Functions, Services, SQL, SaaS. Other technologies include ASP.NET, WebAPIs, Testing & CI/CD. Good collaborations skills and ability to communicate amongst different teams. Happy working in an environment where you have autonomy and More ❯

. Strong commercial acumen , with the ability to translate data insights into business strategies. Advanced analytical and quantitative skills , with expertise in statistical analysis and predictive modeling. Proficiency in SQL, Python, or R , and experience with data visualization tools such as Power BI, Tableau, or Looker Studio. Excellent stakeholder management skills , with the ability to communicate complex data findings to More ❯

company, or TensorFlow/PyTorch for a computer vision company). Understanding of MLOps principles and the end-to-end machine learning lifecycle. Programming/scripting experience (e.g., Python, SQL) to manipulate data and interact with APIs for demos. A portfolio of past POCs, demo videos, or technical blog posts is a significant advantage. More ❯

analysis to support operational and retail performance. Creating business cases for investments and strategic initiatives. Identifying trends, risks, and opportunities using advanced analytics. Requirements: Strong data and analytical skills (SQL, Advanced Excel, Power BI with Python/Amazon RDS desirable) Experience in operations, retail, or multi-site businesses. Proven consulting skill-set Ability to translate complex challenges into actionable insights. More ❯

improvement and automation to streamline data analysis workflows Collaborate with cross-functional teams to identify KPIs and design data collection methods. Experience Technical data scripting and modelling skills E.g. SQL, Python Familiarity with digital media platforms, advertising metrics, and performance tracking. Experience with Data Visualisation Software (PowerBI, Tableau and/or Google Data More ❯

in cloud-based automation testing tools like selenium, appium, or similar. 2. Experience in automation testing of etl (extract, transform, load) processes and data warehousing. 3. Strong understanding of sql for data querying and validation. 4. Knowledge of big data technologies such as hadoop, spark, or kafka is a plus. 5. Familiarity with scripting languages like python, java, or shell More ❯

supporting decision-making across finance, marketing, and operations. We’re looking for someone who: ⚙️ Has 1-4 years’ experience in data science or analytics 🐍 Is confident using Python and SQL 📊 Can visualise data in Power BI or Tableau 💡 Communicates complex insights clearly to non-technical teams 🔥 Brings curiosity, creativity, and a genuine passion for sport Benefits 💰 Competitive Salary More ❯

strategy — giving you end-to-end ownership and visibility. Who We’re Looking For Must Haves: 8+ years in analytics (consumer tech or app-based environments ideal) Strong in SQL + Python and experience with Tableau, Looker, or Power BI Comfortable owning roadmap-facing insights Cross-functional communicator – especially with non-technical teams Nice to Have: Experience with freemium models More ❯

Java 11+/Spring Boot/Spring Cloud Microservices and containerisation (Docker, Kubernetes, OpenShift) Cloud platforms (AWS, Azure, or GCP) Messaging and integration technologies (Kafka, ActiveMQ, REST, GraphQL) Databases (SQL and NoSQL) Familiarity with enterprise integration patterns and secure system design. Experience working in Agile/DevOps environments . Strong understanding of security principles and data protection regulations . Excellent More ❯

ensure the delivery of clean, scalable data solutions that power high-impact research. Key Responsibilities Build and maintain data pipelines using modern tools on Google Cloud, including Python, Spark, SQL, BigQuery, and Cloud Storage. Ensure data pipelines meet the analytical and scientific needs of key applications. Deliver high-quality, production-grade code with testing and documentation. Develop, measure, and monitor More ❯

projects simultaneously and manage conflicting demands. Desirable: Understanding of analytics platforms and/or ad manager platforms such as GA4, Adobe, Meta Ad Manager etc. Familiarity with Python and SQL preferred – while direct experience isn’t required, a basic understanding of what these tools are and how they’re used is beneficial. Knowledge of data privacy laws, governance, ethical data 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 ❯

ideally with consulting exposure. Strong academic background (MSc/PhD in Data Science, Computer Science, Statistics, or similar). Experience managing or mentoring junior talent. Excellent skills in Python, SQL, cloud (AWS/GCP/Azure), and ML frameworks. A confident communicator able to influence across technical and executive teams. 🎁 Benefits & Perks You’ll enjoy a comprehensive benefits package designed 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 ❯

manage time effectively, communicating proactively. Excited about defining the foundations and best practices to allow automation and smart solutions for our customers. Tools experience that is beneficial: Python (required), SQL, Power BI. Good experience using XGBoost & Logistic regression models as a minimum. More ❯

enhancement of Power BI dashboards and reports Key Requirements: Proven experience managing or leading Data Analysts Strong background in the insurance sector, ideally within Property & Casualty Solid experience with SQL, ETL processes, and Power BI Comfortable in a dynamic, fast-paced environment where you can influence and shape the data strategy Excellent communication and stakeholder management skills More ❯

Athena Ensure data integrity and accuracy across large, complex datasets What You’ll Bring: Proven Tableau expertise with a strong eye for design and user experience Solid experience in SQL, Snowflake, and DBT Familiarity with AWS services (Lambda, S3, Athena) An understanding of IT asset management is a plus Excellent communication skills across technical and non-technical audiences Please include More ❯

technologies and will be given the opportunity to develop your expertise in these as well as your broader career. You should have: • Experience with cloud database platforms, e.g. Azure SQL Database, Snowflake etc, or on-prem database platforms like • Experience working with Azure Data Factory (ADF). • Experience with data modelling. • Experience of working with a variety of stakeholders including More ❯

AWS, Azure), data pipelines, and AI/ML technologies. Confident communicator, able to work collaboratively and adapt in a fast-paced environment. Comfortable working with data – familiarity with Python, SQL, or data tools is a plus. Bonus: Knowledge of AI ethics, data privacy, cybersecurity, or relevant industry frameworks (e.g. ISO 27001, NIST, etc.). Location: London Should you not be More ❯

in reporting, dashboards, and data visualization development. Create a scalable roadmap for data capabilities, identifying opportunities for innovation and growth. What We’re Looking For Strong Power BI and SQL skills with hands-on experience in BI/reporting. Proven track record in shaping and delivering data strategy and governance, ideally within the insurance sector (Lloyd’s or company market More ❯

tooling to build scalable, reliable solutions Communicating data-driven insights and influencing both technical and business stakeholders What We’re Looking For Expert-level Python (scikit-learn, pandas, etc.), SQL, and big data platforms (e.g. Databricks) Proven experience with MLOps : deploying, monitoring, and scaling models in production Strong cloud experience (AWS, GCP, or Azure) and comfort with CI/CD More ❯

in line with security standards Qualifications ✔ Experience in a data, operations, or analytics-focused role ✔ Familiarity with BI and reporting platforms such as Power BI, Datorama, Data Studio, Databricks, SQL ✔ Strong communication skills and a collaborative, solutions-focused mindset ✔ An organised, proactive approach—comfortable working across teams and timelines ✔ Excitement for new technology, data storytelling, and digital marketing innovation ✔ A More ❯