676 to 700 of 6,866 SQL Jobs in the UK

Advanced Python, (especially Pandas) skills for data analysis, modelling, and production-ready code. Knowledge of git, CI/CD and collaborative development environments Intermediate SQL skills Ability to analyse concentration, exposure dynamics, and performance trends across portfolios. Ability to translate business and risk requirements into analytical outputs. Strong communication skills ...

result, we are unable to progress applications from candidates who do not meet these requirements. Essential experience Scripting and programming languages such as SQL, Python, R etc Visualising data using Power BI, Tableau, QlikView, Power Query or similar Designed and implemented a performance framework including KPIs or OKRs ...

delivery teams. **Qualifications, Knowledge & Skills**Essential* Experience designing and developing data pipelines and products within an analytics or reporting environment* Strong working knowledge of **SQL or Python** for data transformation, validation, and troubleshooting* Experience developing and supporting data visualisation solutions (**Power BI preferred**)* Understanding of data integration, reconciliation techniques ...

Boot, and microservices architecture Experience integrating AI/ML solutions into backend systems Understanding of REST APIs, distributed systems, and database design Familiarity with SQL and NoSQL databases Experience with cloud platforms (e.g., Amazon Web Services, Google Cloud Platform, or Microsoft Azure) Knowledge of containerisation technologies like Docker and orchestration ...

communicate insights effectively. Experience with LLMs, generative AI, and prompt engineering. Knowledge of MLOps tools and frameworks (MLflow, Kubeflow, Airflow). Familiarity with SQL, NoSQL, and distributed data technologies. Experience deploying AI models in production environments. Publications, patents, or open-source contributions in ML/AI. Benefits What We Offer ...

analysis and experiment design. A Bachelor's Degree in Business, Mathematics, Statistics, or other quantitative discipline is beneficial, but not essential. Expert skills in SQL and databases, able to write structured and efficient queries on large data sets. Experience with dbt is a strong plus, along with Python ...

with the terminal, and with tools like Claude Code or Gemini CLI (or clear evidence you’ll get there fast). Working knowledge of SQL and/or Python for data analysis; advanced Excel and PowerPoint/Google Workspace. Excellent verbal and written communication skills, client‐facing and intercultural. ...

senior IT and business leadership. candidate has experience in financial services/regulated industries, strong expertise in Power BI/Tableau, Excel, ServiceNow, SQL, IT governance, and data management, with experience engaging senior stakeholders and driving governance maturity initiatives• Accountable for project documentation including project plans, timelines, status reports ...

Required Skills & Experience Solid experience in Data Analytics or Data Science, with ideal exposure to Customer Success, Operations, or Digital Experience domains. Proficiency in SQL for data extraction, transformation, and pipeline development. Experience with dashboarding and visualisation tools (e.g., Tableau, Qlik, or similar). Familiarity with big data tools (e.g. ...

Qualifications Experience developing financial models in Excel with advanced functions (pivot tables, macros, VBA, Power Query) Experience with data analytics platforms (Power BI, Python, SQL, Tableau) Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based ...

Experience working with international stakeholders across multiple regions Understanding of data structures, data mapping and data flows Ability to write and/or understand SQL queries to investigate data issues Experience using Power BI for reporting and data visualisation Experience supporting data governance frameworks and standards Experience working with ...

Strong proficiency in Python (NumPy, Pandas, Scikit-learn, or similar) Experience building data pipelines and working with structured and unstructured data Solid understanding of SQL and relational and non-relational databases Experience with AWS cloud services (S3, Lambda, EC2, RDS, Glue, or similar) Strong applied mathematics – statistics, probability, linear algebra ...

information drawn from multiple systems. Experience with collaboration and workflow platforms such as Teams, SharePoint and Smartsheet. Knowledge of Power Automate, Power Apps, VBA, SQL, Python or comparable automation and analytics tools would be advantageous. At McDonald's, we are People from all Walks of Life... Company Vision and Culture ...

Skills Demonstrates strong knowledge of machine learning, data science principles, including prompt engineering, with experience handling large, complex datasets. Use programming languages such as SQL and Python. Use data & artificial intelligence tools (e.g., AWS, CoPilot, Snowflake, DataBricks, LLM). Understand data management and governance, including data platforms, pipelines, models, taxonomies ...

Have Skills & Experience Deep expertise designing and building scalable data pipelines and data products in cloud environments Strong hands-on experience with Databricks, Spark, SQL, and Python Experience developing and optimizing batch and real-time data processing solutions Strong understanding of modern data architecture patterns, including Kimball, Data Vault, dimensional ...

Financial knowledge. Exposure to equity markets, trading, execution analytics, algorithmic trading or market microstructure. Interest in developing this knowledge (e.g. CFA study) is valued. SQL and data platforms. Experience in querying structured data, ideally with Snowflake or similar cloud data warehouses. Data visualisation and design. Experience with dashboarding tools (e.g. ...

deliver measurable value. About You You write, test, debug and explain production code, in Python, Java, Go, Scala, C#, TypeScript or similar, and your SQL and relational modelling are strong. You stay accountable for code you built with AI assistance. You've built and run modern data platforms: ingestion, transformation ...

degree in a relevant discipline. Knowledge of a backend coding language (e.g. Python or R). Experience of a visualisation or automation tool (e.g. SQL, Power BI, Power Automate, or similar). Hands-on experience deploying AI tools in a finance environment (e.g. Microsoft Copilot, AI-assisted analytics, or process ...

systems using Apache Kafka , including topic configuration, producer/consumer APIs, and stream processing. Database Concepts: Exceptional understanding of database concepts. Strong proficiency in SQL, database design, indexing strategies, and query optimization. Hands-on experience with NoSQL databases, specifically MongoDB , is highly required. Modern Tooling: Proficiency with Git/Bitbucket ...

related field is preferred. 5+ years of professional experience as a Data Architect, Enterprise Architect, or a similar role. 10+ years of experience with SQL, Data modeling, optimizing and structuring queries to be used across disparate datasets. 5+ years of experience designing and building data pipelines (e.g., Databricks, Snowflake, Glue ...

multivariant tests and holdout methodologies Ability to critically evaluate model performance in a business context Experience designing measurement frameworks that prove genuine incremental value SQL proficiency; Python or R for data exploration, model validation, and decisioning diagnostics Hands-on automation experience — trigger-based journeys, event-driven architecture, consent management Solution ...

equity & fixed income) and indexing concepts. Strong analytical and quantitative skills with the ability to work with large data sets. Proficiency in Python and SQL for data analysis, manipulation, and visualization with a willingness to further develop these skills in a financial data environment. Good written and verbal communication skills ...

multivariant tests and holdout methodologies Ability to critically evaluate model performance in a business context Experience designing measurement frameworks that prove genuine incremental value SQL proficiency; Python or R for data exploration, model validation, and decisioning diagnostics Hands-on automation experience — trigger-based journeys, event-driven architecture, consent management Solution ...

business to deliver clear, actionable insights. This is a great opportunity for someone early in their data career, ideally with some exposure to SQL, Excel or a BI tool, who's looking to build hands-on experience within a supportive team environment. Key Responsibilities: Collect, clean and organise data from … dashboards using tools such as Power BI or Excel Support senior analysts with ad-hoc data requests and analysis Write and run basic SQL queries to extract and manipulate data Help identify trends, patterns and anomalies in data sets Present findings clearly to non-technical stakeholders Maintain data quality ...

analyse large volumes of data Understanding of business and technology processes Ability to read code to identify root causes of data issues Proficiency with SQL, Python, Data Management tools, MS Excel, Power BI, Cognos, and DQ analysis tools Sound report writing, documentation and presentation skills Experience in Financial Services, particularly … Data Comprehension practices and Data management solutions such as Solidatus, IDQ, and Collibra Core Competencies Demonstrates expertise in Investment Data Management, including proficiency in SQL, Python, and data governance practices. Capable of building relationships with stakeholders and analyzing large volumes of data to enhance data quality and trust. Highest-signal ...