1,351 to 1,375 of 3,066 SQL Jobs in the UK

approaches. Experience applying data science, machine learning and statistical modelling techniques to analyse complex datasets and generate actionable insights. Strong proficiency in Python and SQL for analytical workflows. Experience developing robust analytical solutions using sound statistical principles and software engineering best practices. Strong stakeholder management and communication skills, with ...

local market stakeholders to ensure insight informs decisions at every stage. This role requires strong analytical capability, expertise in data modelling and SQL, and the ability to translate complex commercial questions into dashboard logic and actionable recommendations. What You Will Be Doing Marketing & Sales Performance Analytics Design, build and maintain ...

team. What you’ll need: At least 6+ years of experience in software engineering, with strong proficiency in C#, .NET Core, AWS, Node.JS, Databases (SQL, NoSQL) Strong problem-solving skills and the ability to break down complex challenges into manageable, actionable tasks. Excellent communication skills, with a collaborative approach ...

Engineer, or DevOps professional supporting business‐critical applications. Strong knowledge of FX products, Agile delivery methodology and software development lifecycles. Hands‐on experience with SQL, Python, testing, and automation. Familiarity with CI/CD, monitoring tools, Linux environments, and Azure DevOps is advantageous. A proactive, self‐starting mindset ...

Experience of other Microsoft Technologies including Azure, SharePoint, Exchange, Teams, Office 365 and other Power Platform/Dynamics 365 related applications (ideally also Microsoft SQL). Power Platform, Dashboard, API and SSRs Report development experience. Management of different Dynamics user licence types and storage to minimise costs. Salary ...

analytics. Bachelor’s or master’s degree in Statistics, Econometrics, Data Science, Economics, Applied Mathematics, Marketing Analytics, or a related field. Knowledge in Python, SQL, Excel, and visualisation tools; experience with Databricks, Azure, or other cloud/data platforms is a plus. Deep understanding of econometrics, regression, Bayesian statistics ...

measurement capabilities. Mentor junior analysts and promote best practice across the analytics function. Independently own projects from discovery through to delivery. Skills & Experience Strong SQL skills. Python and/or PySpark experience. Experience within Product Analytics or Digital Analytics. Strong understanding of experimentation and A/B testing. Good grounding ...

enable research at scale. What we expect from you Experience designing and delivering production-grade analytical Python solutions Experience working with relational databases, and SQL-like operations Understanding of machine learning techniques such as regularised regression, clustering or tree-based ensembles (and experience applying them with packages like Pandas ...

enable research at scale. What we expect from you Experience designing and delivering production-grade analytical Python solutions Experience working with relational databases, and SQL-like operations Understanding of machine learning techniques such as regularised regression, clustering or tree-based ensembles (and experience applying them with packages like Pandas ...

communicate technical solutions to non-technical people. Previous business analyst experience would be an advantage Must have a high level working knowledge of SQL & Excel Knowledge of PowerBI and GIS an advantage. High problem solving ability. Strong communication and presentation skills. Report writing experience (PowerBI, Report Builder, Excel or other ...

reports and slides to support sales teams (standard and Geo spatial) Bachelors degree in Geography, GIS, Urban Planning, Real Estate, or a related field. SQL (essential) 2+ years experience analysing property data (essential) Experience in a fast-moving start-up style environment (desirable) Power BI (desirable) Postgres (desirable) ADF (desirable ...

organizations harness data. What we expect from you Degree in Statistics, Mathematics, Physics, Economics, or a related quantitative field Strong programming skills - Python and SQL are essential; PySpark experience is highly advantageous Experience with version control tools (e.g. GIT) Solid understanding of analytical technologies, tools, and techniques Excellent logical thinking ...

risk, regulation, and sustainability workflows. Exposure to client workflows across investment management, portfolio construction, risk, valuation, regulation, reporting, or sustainability. Experience with Python, R, SQL, or other data science and analytics tools. Experience with cloud-based data delivery, data marketplaces, or modern enterprise data platforms. If indicated, please note that ...

clearing applications and functions therein is desirable as is any specific experience of energy and/or commodities markets. IT skill set – experience with SQL or other data analysis tools across big datasets, demonstrating analytical and data skills across business data. Experience with AI technologies is increasingly desirable. This ...

Business, or a related field. Experience in an analytical role such as business intelligence, data analytics, or statistics. Experience working with database technologies (e.g., SQL, NoSQL). Experience with cloud technologies such as architecting, developing, or maintaining cloud solutions in virtualized environments or cloud data engineering. Experience with data analysis ...

colleagues across teams and geographies. Financial Markets experience - Equities, FX, Options, & Fixed Income trading. Technologies Exceptional object-oriented development skills (C# .Net background preferable) SQL Server and data analytical skills Thorough understanding of object orientated programming, computing fundamentals and data structures Experience with Web technologies (HTML, JavaScript Frameworks e.g. ...

successfully balancing cross‐departmental requests. Deep understanding of the programmatic advertising ecosystem and digital inventory management. Technical proficiency in data manipulation tools such as SQL (e.g., BigQuery, MySQL) and data visualization platforms (e.g., Tableau, Looker Studio), with Python skills being a distinct advantage. Hands‐on experience working with large‐scale ...

depth knowledge of software architecture principles and design patterns. Experience with microservices architecture and cloud-native applications. Good experience in database technologies such as SQL, NoSQL, and data modeling. Excellent problem-solving skills and attention to detail. Strong communication and leadership skills. Good experience with DevOps practices and tools such ...

data engineering, and sharing knowledge across the team. Essential skills: A degree in a STEM subject, ideally at Master’s level Experience with SQL and Python Familiarity with machine learning concepts and their practical application Experience in cleaning, structuring, analysing, and visualising data from multiple sources Familiarity with Git/ ...

Experience 5-7 years of experience in a software engineering role Proficiency in one or more modern programming languages such as Python, Go or SQL Experience building backend services, APIs, and multithreaded applications Familiarity with containerization and orchestration technologies such as Docker and Kubernetes Strong knowledge of relational databases (e.g. ...

/DDoS, Entra ID, IPS/IDS, PKI or SASE. Experience using security testing techniques, frameworks and methodologies. Scripting capability in Python, PowerShell, Shell, SQL, Perl or similar. Experience mapping attacker behaviour and conducting threat analysis. Strong analytical and problem-solving skills. Excellent communication skills, with the ability to explain ...

code review. Data: Working with relational, columnar and vector stores, grounded in sound data‐modelling principles. Languages: Python, Java, TypeScript/JavaScript, SQL and relevant AI SDKs. Communication: Clear written and verbal communication with technical peers and stakeholders. Measurement: Instrumenting solutions to capture usage, productivity, and quality metrics against established ...

effectively in ambiguous environments Delivery‐focused, accountable and pragmatic mindset Collaborative approach with a focus on capability building and knowledge sharing Your experience: Excellent SQL development experience. Highly experienced in data ingestion, processing and storage techniques on cloud native tooling. Experience cloud data management i.e. Snowflake, AWS, DBT, or similar ...

Head of Market Risk and Front Office Ideally proficient in booking systems such as Endur, EOS Practical experience in Power BI, Python and SQL Excellent attention to detail and problem-solving skills Confident, resilient, with a presence and a determination to succeed in a dynamic and demanding business environment Proactive ...

Head of Market Risk and Front Office Ideally proficient in booking systems such as Endur, EOS Practical experience in Power BI, Python and SQL Excellent attention to detail and problem-solving skills Confident, resilient, with a presence and a determination to succeed in a dynamic and demanding business environment Proactive ...