1 to 25 of 66 SQL Jobs in Luton

policies, and experience managing servers and virtual environments in Microsoft Azure BI & Data Skills : Experience with other BI platforms (e.g. SAP BusinessObjects, Power BI), SQL, ETL processes, data modelling, and diverse data sources (including SAP HANA). Tableau Tools : Knowledge of Tableau Server Resource Monitoring Tool (RMT) and Content Migration More ❯

leading reporting development (advanced/expert levels only). Key Tools & Technologies Visualization Tools: Tibco Spotfire, Tableau, Power BI, or QlikView Data Management & Querying: SQL, ETL pipelines, Data Warehousing (e.g., ODW) Collaboration & Platforms: SharePoint, clinical trial data platforms Qualifications Entry Level: Bachelor's degree in a technical field (Engineering, Computer More ❯

a track record of successfully leading and delivering data analytics projects, with at least three years of experience in data and analytics. Proficiency in SQL and some experience of at least one scripting language, such as Python or R, is essential, along with experience using business intelligence and data visualisation More ❯

Athena, EMR, and QuickSight. Knowledge of data modeling, ETL, data warehousing, and machine learning techniques. Programming skills in Python, R, or Scala. Experience with SQL/NoSQL databases, data visualization, and statistical packages. Strong analytical and problem-solving skills. Experience with social media analytics and user behavior analysis. Familiarity with More ❯

or a related field. 5+ years of experience in building data pipelines, models and maintaining Data Warehouses for reporting and analytics. Strong skills in SQL, Python, problem-solving and data analysis. Deep Experience with Snowflake and AWS Deep Experience with dbt. Excellent communication and collaboration skills. An eagerness to learn More ❯

multiple projects effectively. - Capable of tailoring analysis approaches to different client environments. Preferred: - SAFe certification or Lean/Six Sigma experience. - Working knowledge of SQL/Python for data discovery. - Experience with business glossary management. - Knowledge of Snowflake and data management best practices (DMBOK certification beneficial). - Background in the More ❯

numbers, and you love finding ways to make things better. Ideally, you’ll bring: ?Experience in collections analytics or strategy, ideally in financial services ? SQL or Python skills (you know your way around a dataset!) ? An analytical brain paired with a solutions-first mindset ?️ Excellent communication skills, you can explain More ❯

voting, vendor oversight. Solid understanding of investment data flows and financial instruments across asset classes. Hands-on proficiency with tools and languages such as SQL, Python, and ETL/data integration platforms. Strong communication, presentation, and stakeholder engagement capabilities. Advanced skills in MS Office Suite and the creation of professional More ❯

and Experience: Science or Engineering degree or equivalent. Familiarity with BESS, solar energy, or power systems. Fluent in Python programing, Jupyter notebook environment and SQL language. Knowledge of AWS cloud would be an asset. Strong computer skills and In-depth familiarity with big data analysis. Problem solving ability, critical thinking More ❯

cloud). Strong Python programming skills for automation and data processing, leveraging Python to create automation scripts and optimize data processing tasks. Proficiency in SQL performance tuning and query optimization techniques using Snowflake. Troubleshooting and optimizing DBT models and Snowflake performance. Knowledge of CI/CD and version control (Git More ❯

with microservices architecture and containerization (Docker, Kubernetes). Proficiency in cloud platforms such as AWS, Azure, or Google Cloud. Hands-on experience with databases (SQL/NoSQL). Expertise in CI/CD pipelines and DevOps practices. Strong problem-solving and analytical skills. Excellent communication and leadership abilities. Good to More ❯

source control and CI/CD tools (Git, Azure DevOps, GitHub/GitLab) Skilled in multiple programming languages, ideally including: .Net (C#) PowerShell T-SQL Deep understanding of the software development lifecycle and Agile methodologies Proven experience in DevOps/SRE practices, CI/CD pipelines and Infrastructure as Code More ❯

advanced level. Proficiency in BI tools and dashboard construction (Power BI, Qlik Sense, Tableau) at an intermediate level. Knowledge of programming languages such as SQL and VBA at an intermediate level. Intermediate understanding of statistics applied to data management. Experience with relational databases. Knowledge of continuous improvement tools, structured problem More ❯

and non-technical stakeholders. SKILLS & EXPERIENCE: 3+ years of experience in a data/BI/analytics role, ideally within the iGaming industry. Advanced SQL skills and experience querying large, complex datasets. Experience with BI tools such as Power BI, Tableau, or similar. Strong understanding of sports betting products and More ❯

Engineer; Lead Engineer considered Experience with Service-oriented architecture Knowledge of backend optimization with MySQL or similar data sources Experience with relational databases and SQL, especially MySQL Strong PHP knowledge, understanding its strengths and weaknesses Experience with PHP frameworks: Symfony and Laravel Languages PHP, Ruby-on-Rails, Java, Python, C# More ❯

Weights & Biases). Experience with model explainability techniques (e.g., SHAP, LIME). Familiarity with reinforcement learning or generative AI models. Tools & Technologies: Languages: Python, SQL (optionally: Scala, Java for large-scale systems) Data Processing: Pandas, NumPy, Apache Spark, Beam Model Serving: TensorFlow Serving, TorchServe, FastAPI, Flask Experiment Tracking & Monitoring: MLflow More ❯

focus on .Net technologies. Expertise in .Net framework, C#, and demonstrable experience of building event-driven distributed platforms Experience with Azure and database technologies (SQL/NoSQL) is highly desirable Must have experience with payment processing systems and real money transactions. Experience of ledgers, holdings, valuations is highly desirable Communication More ❯

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 More ❯

business data reporting, analytics, and dashboard/report creation (proficiency in Tableau would be preferred), modelling and analysis, along with proficiency in MS Excel. SQL is desirable, with knowledge of any other relevant coding language like Python, Scala, R, Matlab, C++ an advantage. Any experience of optimisation techniques and financial More ❯

data platform implementations Strong understanding of Azure services: Data Factory, Databricks, Data Lake, Delta Lake, Synapse Analytics, Power BI, Key Vault, Automation Account, PowerShell, SQL DB, and Big Data tools Demonstrated experience preparing and presenting high-level and detailed architecture documents Deep understanding of cloud- data platform design patterns Ability More ❯

data workloads in Azure - ESSENTIAL Other Requirements Experience with AI development using Azure Machine Learning - ESSENTIAL Strong programming skills in languages such as Python, SQL, or C# - ESSENTIAL CORE COMEPTENCIES & SKILLS: Expertise in designing and implementing data models and data warehousing solutions. Knowledge of machine learning algorithms and experience in More ❯

database-based systems. Demonstrated ability to work productively on a cross functional and cross geographic team. Fluent English – both writing and verbal. Knowledge of SQL and Excel, experience with other programming languages desirable. Good to have skills: Previous experience working with a Life or Pensions policy administration system, digital platform More ❯

in Computer Science, Engineering, or related field—or equivalent industry experience in lieu of a degree. Hands-on experience with .NET, Java, APIs, microservices, SQL/NoSQL databases, and CI/CD pipelines; strong understanding of cloud/on-prem infrastructure, firewalls, and security protocols. Proven experience delivering projects involving More ❯

the team Significant experience working in a direct to consumer business. A good knowledge of e-commerce and customer experience (CX) is essential. Strong SQL and/or Python skills with a proven ability to analyse and develop customer data from very large data sets. Experience of using Databricks, and More ❯

in a dynamic, fast-paced setting. You’ll support the delivery and implementation of API-driven integrations as this organisation moves away from legacy SQL environments towards a scalable, cloud-first middleware ecosystem. With Azure Logic Apps and the broader Azure stack at the heart of this transition, your work More ❯