4,101 to 4,125 of 5,260 SQL Jobs

support production and project environments Contribute to IT strategy, roadmaps, and solution design discussions What Youll Bring: Essential: Proven experience supporting digital/web/mobile app lications Strong SQL and Azure KQL skills Linux scripting expertise Experience managing IIS-hosted digital solutions Highly Desirable: BigCommerce website support Redis platform experience Microsoft Dynamics 365 API support and monitoring tools (e.g. More ❯

like NAT or port forwarding in a containerized setting; 3) Using Go in the context of Kubernetes; 4) Designing and maintaining backend components written in python; and 5) Using SQL with a modern DB such as MySQL. Will accept experience gained before, during, or after Masters program. Employer will accept experience gained concurrently. Salary: $161,637 to $200,00/ More ❯

2yrs+ in a Technical Business Analyst role Experience in designing and developing tech-based products Skilled in technical architecture and documentation Proficient in data analysis and visualisation tools (e.g. SQL, Excel, Tableau, PowerBI) End-to-end delivery—from research and design to testing and release Salary for the Technical Business Analyst roles on offer is up to £55,000 dependent More ❯

with (1) integration technologies (e.g. REST APIs, Kafka, Space API, file-based transfers, ETL pipelines, and API gateways), (2) Single Sign-On (SSO) solutions (e.g., Okta, Azure AD), (3) SQL, PowerShell, Python, and batch scripting for automation and system management, (4) enterprise security, authentication, and data governance best practices, and (5) performance testing, load testing, and troubleshooting enterprise systems. Travel More ❯

and data pipelines What We're Looking For 8+ years of experience in data engineering, architecture, or related roles Deep expertise with AWS, Databricks, and PySpark Strong Python and SQL skills Excellent communication and stakeholder management skills Fluent in English (spoken and written) Remote: 100% Remote. This position is open to candidates based in Europe or regions with compatible time More ❯

1. Core Java 2. Kafka 3. Spring Boot 4. Struts/Spring MVC 5. Spring Core6. JavaScript 7. JDBC/JPA 8. Jquery/AJAX Good-to-Have 1. SQL/PLSQL 2. Experience in Bootstrap, Angular 3. Knowledge of Web Services, SOAP, REST/JSON 4. Exposure to Investment Banking/Wealth Management. Roles & Responsibilities: Collaborate to task-out More ❯

Solid understanding of solution architecture, including API management, integrations, and data pipelines. Experience in Banking or Financial Technology (FinTech) environments, especially in regulatory and compliance reporting. Strong command over SQL/PLSQL, Middleware integrations (OIC, SOA, REST APIs), and data mapping. Familiarity with RegTech systems, reporting standards (XBRL, IFRS, Basel, etc.), or data governance frameworks is an advantage. Excellent communication More ❯

development experience in production. Strong knowledge of RESTful APIs and asynchronous frameworks (FastAPI, AsyncIO, etc.). Experience with cloud environments (AWS – Lambda, API Gateway, Serverless). Solid understanding of SQL/NoSQL databases and caching technologies (Redis, DynamoDB, PostgreSQL). Active UK Security Clearance. Desirable Experience building or securing mission-critical, public-facing systems. Background in AI/ML integrations More ❯

and ideally Certified Technical Architect (CTA). Experience across at least 3 product lines outside ITSM (e.g. ITOM, HRSD, CSM, SPM, SAM). Advanced scripting and integration skills (JavaScript, SQL, REST/SOAP APIs). Strong understanding of cloud platforms (AWS, Azure, GCP) and ServiceNow integrations. Experience operating in a Technical Design Authority capacity. Bonus: GenAI exposure, ITILv4 certification Must More ❯

of data management concepts : MDM, RDM, data quality, business glossary, data lineage. Practical experience with data quality monitoring and resolution. Familiarity with data catalogues and metadata tools . Strong SQL and analytical skills . Excellent communication and stakeholder engagement . Awareness of regulatory and audit requirements (e.g., Lloyd’s data standards). Nice to Have: Hands-on with MDM tools More ❯

of data management concepts : MDM, RDM, data quality, business glossary, data lineage. Practical experience with data quality monitoring and resolution. Familiarity with data catalogues and metadata tools . Strong SQL and analytical skills . Excellent communication and stakeholder engagement . Awareness of regulatory and audit requirements (e.g., Lloyd’s data standards). Nice to Have: Hands-on with MDM tools More ❯

qualified/part qualified (AAT, ACCA, FCCA or similar) or qualified by experience (Good exposure of working within a financial environment) Experience of working on projects with Unit4-ERP SQL experience preferable SystemsAccountants Ltd are the only UK based agency that are recognised by Unit4, Netsuite and Oracle as Alliance Partners and are repeatedly trusted as an essential addition to More ❯

A passion for solving complex problems and a desire to make a lasting impact. Please note - this client is unable to offer sponsorship. Job Owner: d.prosser Tagged as: Python, SQL More ❯

team culture where your ideas actually matter. Hybrid flexibility, career progression, and support to push your skills forward. What we’re looking for: Solid experience with C#, .NET, and SQL Curiosity and eagerness to learn new tools & tech A problem-solver who loves writing clean, maintainable code Bonus points for experience with WPF, WinForms, or microservices Why join us? Because More ❯

to succeed Lead Agile execution across multiple programs with changing demands, ensuring clarity and accountability across senior stakeholders and product + engineering teams. Utilising your strong technical understanding of SQL, Python or Java (and familiarity with tools like ChatGPT/Copilot) to use data to support decision-making and influence stakeholders Managing difficult stakeholder relationships with effective communication, driving integration More ❯

with deep learning tools (e.g. PyTorch, TensorFlow, or similar) Strong mathematical/statistical background Familiarity with a wide range of data science methods (e.g. ML, NLP, Bayesian inference, APIs, SQL) Experience leading data science teams and managing project timelines Excellent communication and stakeholder engagement skills SC clearance and British citizenship are mandatory This is an exciting opportunity to apply data More ❯

manage AI governance and risk Required Skills & Experience Production experience with Generative AI, LLMs, NLP, and RAG systems Strong knowledge of Knowledge Graphs and semantic technologies Proficient in Python, SQL, PyTorch/TensorFlow Experience with DevOps, CI/CD, DevSecOps and secure ML pipelines. Proven experience in AI/ML/Data science leadership with measurable business impact. Degree in More ❯

for stakeholders. Collaborate with data engineers to ensure clean, integrated data. Continuously refine models to adapt to evolving risk landscapes. Requirements: Experience as a data scientist. Strong Python and SQL skills. Experience with machine learning frameworks and statistical analysis. Knowledge of LLMs and AI modelling tools. Excellent communication and problem-solving skills. Comfortable working in a fast-paced, collaborative environment. More ❯

manage AI governance and risk Required Skills & Experience Production experience with Generative AI, LLMs, NLP, and RAG systems Strong knowledge of Knowledge Graphs and semantic technologies Proficient in Python, SQL, PyTorch/TensorFlow Experience with DevOps, CI/CD, DevSecOps and secure ML pipelines. Proven experience in AI/ML/Data science leadership with measurable business impact. Degree in More ❯

for stakeholders. Collaborate with data engineers to ensure clean, integrated data. Continuously refine models to adapt to evolving risk landscapes. Requirements: Experience as a data scientist. Strong Python and SQL skills. Experience with machine learning frameworks and statistical analysis. Knowledge of LLMs and AI modelling tools. Excellent communication and problem-solving skills. Comfortable working in a fast-paced, collaborative environment. More ❯

and data pipelines What We're Looking For 8+ years of experience in data engineering, architecture, or related roles Deep expertise with AWS, Databricks, and PySpark Strong Python and SQL skills Excellent communication and stakeholder management skills Fluent in English (spoken and written) The job is 100% Remote; please ensure you have a comfortable office set at your desired work More ❯

a similar technical systems support/analyst role. - Strong knowledge of IFS, preferably Apps 10 and Cloud (minimum Apps 9/10). - A solid foundation in Oracle database, SQL/PLSQL development. - Experience with integrations and cloud environments is preferred. - Familiarity with service and maintenance modules in IFS. - Self-motivation, problem-solving skills, and the ability to prioritize workload. More ❯

guide junior analysts, ensuring consistency of quality and approach. YOUR SKILLS AND EXPERIENCE: 5+ years in data analytics or business insight, ideally within marketplace, tech, or eCommerce. Expert-level SQL and experience with BigQuery or Snowflake. Proven stakeholder management and presentation experience. Confident working with large, complex data sets. Desirable: Experience with Python or R for modelling and forecasting. Background More ❯

for stakeholders. Collaborate with data engineers to ensure clean, integrated data. Continuously refine models to adapt to evolving risk landscapes. Requirements: Experience as a data scientist. Strong Python and SQL skills. Experience with machine learning frameworks and statistical analysis. Knowledge of LLMs and AI modelling tools. Excellent communication and problem-solving skills. Comfortable working in a fast-paced, collaborative environment. More ❯

guaranteed bonus, 13% pension, Potential for Sign-On Bonuses Requirements: FPGA experience (must-have) Strong systems programming (C/C++ preferred) Scripting expertise (Python and/or Bash) SQL proficiency Experience designing/building CI/CD pipelines (GitLab preferred) Containerisation experience (Docker preferred) Cloud infrastructure exposure (AWS preferred) Monitoring tooling experience (Prometheus, Grafana, Splunk, Elastic Search More ❯