126 to 150 of 5,492 SQL Jobs in the UK

Scrum (CSM/PSM) strongly preferred. Integration: EDI (ANSI X12, EDIFACT), REST/GraphQL APIs, OAuth2, Webhooks Languages & Frameworks: JavaScript/TypeScript (Node.js, React), Python (for data/AI), SQL Cloud & DevOps: AWS/Azure/GCP services, CI/CD pipelines, Docker/Kubernetes AI/ML Tooling: Familiarity with cloud AI services (SageMaker, Vertex AI, Azure AI) and More ❯

of data governance frameworks, regulatory compliance (e.g., GDPR, CCPA), and data security best practices. Proven experience in enterprise-level architecture design and implementation. Hands-on knowledge of database systems (SQL/NoSQL), ETL/ELT processes, and data modeling techniques. Exceptional leadership, communication, and stakeholder management skills. Ability to work in fast-paced, agile environments and balance long-term strategy More ❯

with industry experts to deliver solutions that make a real difference in the legal profession. We are seeking an experienced engineer with a strong background in .NET/C#, SQL, and cloud services development to deliver world-class software solutions to our customers, primarily focused in the area of information governance. The ideal candidate will have a proven track record More ❯

and to hierarchically structure information residing in the data under analysis. Robust knowledge of statistical concepts, accompanied by expertise with a set of analytical tools ranging from databases (e.g. SQL, BigQuery, noSQL) to programming languages (e.g. R, Python), and from data visualisation (e.g. Tableau, PowerBI) to machine learning. Understanding data engineering solutions is a plus. Strong experience in MLOps, including More ❯

process and organisational skills with the ability to mobilise change Advanced knowledge of project/product management platforms (JIRA & Confluence strongly preferred) Advanced knowledge of common data-manipulation tools (SQL, Google Sheets) Advanced knowledge of data analytics platforms (Looker preferred) Experienced in both lean and agile methodologies (Scrum, Kanban) IIBA-CCBA certification preferred Basic proficiency in at least one of More ❯

Advanced proficiency in Python for data science and machine learning applications. Familiarity with cloud-based infrastructure, preferably Azure . Expertise with Data Warehousing/Data Lakes . Proficiency in SQL for data extraction and analysis. Strong experience with data visualization tools such as PowerBI and Tableau . Understanding Java is a plus. Desired Behaviors Independence : Ability to solve complex problems More ❯

STEM field. A solid academic basis within data analysis and science through an additional MSc would be an advantage. Data Tools: Previous experience with tools such as Excel, R, SQL or Python are an essential for this role. If you have utilised visualisation programmes such as Tableau or Power BI in projects before, we are also keen to hear from More ❯

and techniques (e.g., spatial queries, coordinate systems, projections). Experience with geospatial analytics tools such as ArcGIS, QGIS, or similar platforms is a plus. Data Modeling & Querying: Experience with SQL and NoSQL databases, including spatial databases (PostGIS, MongoDB, Elasticsearch), for storing and querying geospatial and big data. Preferred Qualifications: Degree or higher in Computer Science, Geospatial Intelligence, Data Science, or More ❯

STEM field. A solid academic basis within data analysis and science through an additional MSc would be an advantage. Data Tools: Previous experience with tools such as Excel, R, SQL or Python are an essential for this role. If you have utilised visualisation programmes such as Tableau or Power BI in projects before, we are also keen to hear from More ❯

to commission and incentive scheme processing. Ability to operate in an environment of change and ambiguity, setting clear direction and structure. Familiarity with tools such as Power BI, Tableau, SQL, Python or equivalent. Desirable: Experience in regulated industries or complex, multi-stakeholder B2B environments. About Us What's in it for you... Healthcare plan, life assurance and generous pension contribution More ❯

skills Essential Degree in Data Science, Computer Science, or related field; MBA or advanced degree considered; 2+ years of experience in a data analytics role, with demonstrated expertise in SQL and other data manipulation languages; and ability to interpret large volumes of data and communicate findings to both technical and non-technical stakeholders. Strong problem-solving and analytical thinking skills More ❯

experience and strength in data visualisation and storytelling - able to communicate complexity in a straightforward and visually engaging manner, creating a compelling narrative. - Proficiency in analytical tools such as SQL, Python, R. - Proficiency in data visualisation platforms (e.g. Tableau or Power BI). - Excellent communication and presentation skills, confident verbally and in writing. - Strong relationship management skills, able to build More ❯

workflows, with proven experience working alongside credit analysts and portfolio managers. Exceptional analytical and problem-solving skills with the ability to interpret complex data and investment processes. Proficiency in: SQL - for data validation and exploration. AWS - particularly data services (e.g., S3, Redshift, Lambda). Python - for prototyping analytical tools and performing data analysis. Strong command of business analysis practices, including More ❯

a team of data professionals. Extensive experience with MI reporting tools, data visualization platforms (e.g., Tableau, Power BI, Qlik Sense), and data warehousing concepts. Strong background in data modeling, SQL, and database management. Experience with operational process improvement methodologies Skills Exceptional analytical and problem-solving skills with a keen eye for detail. Strong leadership and people management capabilities. Excellent communication More ❯

a team of data professionals. Extensive experience with MI reporting tools, data visualization platforms (e.g., Tableau, Power BI, Qlik Sense), and data warehousing concepts. Strong background in data modeling, SQL, and database management. Experience with operational process improvement methodologies Skills Exceptional analytical and problem-solving skills with a keen eye for detail. Strong leadership and people management capabilities. Excellent communication More ❯

Engineering delivery practices : Knowledge of Agile, DevOps, Git, APIs, Containers, Microservices, and Data Pipeline orchestration. Broader platform experience (desirable): Familiarity with Databricks, Snowflake, Azure Data Factory, Azure Synapse, Microsoft SQL/SSIS. Certifications that are a plus: Microsoft Certified: Fabric Analytics Engineer Associate (DP-600) Microsoft Certified: Fabric Data Engineer Associate (DP-700) ABOUT YOU You're not just a More ❯

Experience in system configuration, customization, and integration of financial applications. Investran or similar platform certifications beneficial. Good working knowledge of Accounting Platform database structures and data models. Proficiency in SQL and data query languages to extract and manipulate data. Experience beneficial in Object Oriented language development, including integrations with SOAP and REST based APIs. Familiarity with reporting and analytics tools More ❯

contribute within a team setting. Technical Experience: Proficient in Python for data analysis, including use of key libraries (e.g. Pandas, NumPy, Scikit-learn, Matplotlib). Good working knowledge of SQL for querying and transforming structured data. Basic understanding of common machine learning techniques and ability to implement them in Python. Exposure to Azure ecosystem (e.g., Azure Machine Learning, Azure Blob More ❯

integration pipelines Complete Data Engineering end-to-end ownership of demand delivery Provide technical guidance for team members Providing 2nd or 3rd level technical support About You Experience using SQL, SQL Server DB, Python & PySpark Experience using Azure Data Factory Experience using Data Bricks and Cloudsmith Data Warehousing Experience Project Management Experience The ability to interact with the operational business More ❯

Collaborate with cross-functional teams to deliver strategic innovations What We're Looking For: Strong Python programming skills Experience with Microsoft Azure and Power Platform Proficiency in Oracle Database (SQL and stored procedures) Hands-on experience with AI tools Excellent analytical, communication, and team collaboration skills Adaptable and eager to learn new technologies Requirements: Strong interpersonal and problem-solving skills More ❯

Collaborate with cross-functional teams to deliver strategic innovations What We're Looking For: Strong Python programming skills Experience with Microsoft Azure and Power Platform Proficiency in Oracle Database (SQL and stored procedures) Hands-on experience with AI tools Excellent analytical, communication, and team collaboration skills Adaptable and eager to learn new technologies Requirements: Strong interpersonal and problem-solving skills More ❯

Meltano, Airflow, Mulesoft/Snaplogic, Apache NIFI, and Kafka, ensuring a robust, well-modelled, and scalable data analytics infrastructure running on MySQL and Postgres style databases primarily. Requirements: Advanced SQL development and deep understanding of RDBMS concepts and engines Practical knowledge of Data Warehouse infrastructure architecture and best practices Practical database design, development, administration knowledge (any RDBMS) Strong understanding of More ❯

experience working in London/Lloyd's Insurance market. Technical Competencies Skilled in using Power BI and Excel to design interactive dashboards and visually compelling reports. Extensive experience with SQL; familiarity with data warehouses is advantageous. Proficient or familiar with languages such as Python, R, and JavaScript. Solid understanding of data governance principles, including data integrity, regulatory compliance (e.g., GDPR More ❯

in software engineering principles, including version control (Git), testing, CI/CD, modular design, and clean code practices. Experience developing reusable components and APIs is a strong plus. Advanced SQL skills for complex data queries and transformations Proficiency in at least one programming language, with Python strongly preferred for data processing, automation, and pipeline development Strong acumen for application health More ❯

in software engineering principles, including version control (Git), testing, CI/CD, modular design, and clean code practices. Experience developing reusable components and APIs is a strong plus. Advanced SQL skills for complex data queries and transformations Proficiency in at least one programming language, with Python strongly preferred for data processing, automation, and pipeline development Strong acumen for application health More ❯