19 of 19 SQL Jobs in Newcastle upon Tyne

similar low-code workflow tools (legal sector experience ideal). Proficiency in REST APIs and ETL tools (e.g., Intapp Integration Builder). Advanced SQL development skills. Knowledge of scripting languages (JavaScript, Python, PowerShell). Familiarity with Microsoft Power Platform and Microsoft Fabric. Experience deploying applications to Azure cloud services. Understanding

deliver intelligent data products, leveraging modern cloud and AI technologies. Key Responsibilities Design and implement robust data pipelines and ML workflows using Python, SQL, Spark, and Databricks. Develop and deploy machine learning models (including NLP, deep learning, and agentic AI) in production environments. Integrate data from diverse sources, including streaming

premise design experience. 5+ years in data engineering or business intelligence roles. Extensive ETL and data pipeline design experience, technology agnostic. Proficiency in SQL and experience with data engineering coding languages such as Python, R, or Spark. Understanding of data warehouse and data lake principles. Experience with data visualisation tools

change in a number of industry areas, including the Public Sector. Ability to write clear, concise user stories and functional requirements. Strong proficiency in SQL for data extraction, transformation, and analysis Ability to independently analyse large datasets to identify trends, validate business requirements, and uncover data quality issues. Familiarity with

candidate will play a critical role in supporting a broader initiative to migrate the ETL engine for the data set from Oracle PL/SQL to PySpark on Microsoft Fabric. Key Responsibilities: - Collaborate closely with the existing team to ensure a smooth transition of data during the migration process. - Optimise

Deep understanding ofmicroservices architectureand RESTful API design Strong grasp ofobject-oriented principles, SOLID, and clean architecture patterns Experience withcloud platforms(ideally Azure) Proficient in SQL and/or NoSQL databases, caching strategies, and performance tuning Passion for best practices: TDD, CI/CD, code reviews, and documentation A team-first

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 many

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 many

will be: A proven leader – strong people management skills and ability to motivate Hold strong technical expertise in some technologies such as C#, .NET, SQL, APIs, Microsoft BI tools, PowerApps (You’ll likely have started out as Software Developer in your career) Have a process-driven mindset – you live

provide you with access to the following courses to ensure you are 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 many

testing across product and operational data Theme extraction from defect reports and customer feedback Helping challenge assumptions with data-driven evidence Tech Environment Python & SQL Machine Learning, statistical modelling, data manipulation Cloud-first setup (Azure preferred; Databricks is widely used) Exposure to LLMs or AI agents is extremely valuable

regression and UAT testing, ensuring faster delivery. What We're Looking For Essential: Strong QA automation experience, C# and Playwright expertise. Nice to Have: SQL, security testing, load/performance testing. Agile experience and ability to collaborate with developers. Enjoy excellent benefits, including a generous pension scheme, hybrid working

Experience with GenAI tools (LangChain, LangGraph, etc.) and LLMs (OpenAI, Anthropic, Llama, etc.) Familiarity with monitoring (Langsmith, Langfuse), Git, and vector/NoSQL/SQL databases Eligible for SC Clearance - lived in the UK for 5yrs+ Salary for the Python/GenAI Developer roles on offer

DevOps Engineer - FinTech - Newcastle (Tech stack: DevOps Engineer, PowerShell, C#, Java, Python, Ansible, Terraform, Docker, Kubernetes, Docker Swarm, ELK, Grafana, CI/CD, TeamCity, SQL Server, Windows, Linux, Programmer, Developer, Architect, DevOps Engineer) Our client is a cutting-edge FinTech company with a reputation for innovation and excellence. They design … solutions (e.g., ELK, Grafana, or similar). Proven track record in building and maintaining CI/CD pipelines, preferably with TeamCity. Experience working with SQL databases, particularly Microsoft SQL Server. Comfort managing both Windows and Linux environments. The ability to communicate clearly with colleagues and clients to resolve challenges

design documentation, configuration of PLCs, SCADA, HMI, Testing and commissioning. As a business, their project solutions are based around Rockwell, Siemens, Mitsubishi, Wonderware, Schneider, SQL and various legacy technologies. On a day to day basis you'll be responsible for the following activities:- Writing software from scratch for PLC programmes

Developing or supporting large scale or highly critical services. Upgrading, converting, modernising or digitising applications/services. Identifying, assessing and managing risk. Knowledge of SQL and its use in one or more DBMS (Oracle, PostgreSQL, SQL Server, DB2). Interaction with a range of external, third party suppliers Experience

.NET Developer - Global Phenomenon - Newcastle upon Tyne, Tyne and Wear (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14

.NET Developer, C#, .NET 9, Angular 19, Web API 2 - Newcastle (Tech stack: .NET Developer, .NET 9, C#, Web API

Data Engineer - FinTech - Newcastle (Tech stack: Data Engineer, SQL, Python, AWS, Git, Airflow, Data Pipelines, Data Platforms, Programmer, Developer, Architect, Data Engineer) Our client is a trailblazer in the FinTech space, known for delivering innovative technology solutions to global financial markets. They are expanding their engineering capability in Newcastle … Direct experience in the hedge fund sector (essential). Strong ability to design and build data pipelines that integrate multiple data sources. Proficiency in SQL and Python, with solid exposure to AWS or other cloud-based data tools. Familiarity with version control systems such as Git and workflow/orchestration