1 to 25 of 35 SQL Jobs in Newcastle upon Tyne

all time Work collaboratively with the Data Science, Reporting and Data Engineering team in maintaining consistent and accurate data. What do we need from you? Experience with either relational SQL or analytics databases, including Postgres, Cassandra and BigQuery Familiarity with cloud-based technologies and deployment infrastructure such as GCP functions, Kubernetes & Terraform/Jenkins, CI/CD Git. Knowledge of More ❯

continue to grow, the demand for qualified entry-level professionals is on the rise. With our Data Analytics career programme we will provide you with: 8 training modules: Excel, SQL, Python, R, Tableau, Power BI, CompTIA Data+ & Azure AI Fundamentals 3 official examinations: Microsoft Power BI Data Analyst, CompTIA Data+, & Microsoft Azure AI Fundamentals 100+ hours of live instructor-led More ❯

with modern tech stacks and a willingness to grow your skills. Essential Skills: Strong experience with back-end development using Node.js, Python, or Java (Spring Boot) Solid understanding of SQL and NoSQL databases (e.g., MongoDB) Familiarity with CI/CD pipelines, Git workflows, and agile methodologies Experience with containerisation (e.g., Docker, Kubernetes) Exposure to cloud platforms (AWS preferred, Azure/ More ❯

productivity tools, ideally ControliQ. Working experience of SAS or other Statistical packages such as R, Python, MiniTab or equivalent analytical tools to develop data driven solutions. Coding experience with SQL and VBA. Red Hot Rewards Generous holidays - 38.5 days annual leave (including bank holidays and prorated if Part–Time)?plus the option to buy more. Up to five extra paid More ❯

continue to grow, the demand for qualified entry-level professionals is on the rise. With our Data Analytics career programme we will provide you with: 8 training modules: Excel, SQL, Python, R, Tableau, Power BI, CompTIA Data+ & Azure AI Fundamentals 3 official examinations: Microsoft Power BI Data Analyst, CompTIA Data+, & Microsoft Azure AI Fundamentals 100+ hours of live instructor-led More ❯

data science opportunities. Required Skills & Experience Proven experience in MLOps or DevOps roles within machine learning environments Strong programming skills in Python, with hands-on experience in PySpark and SQL Deep understanding of ML lifecycle management and CI/CD best practices Familiarity with cloud-native ML platforms and scalable deployment strategies Excellent problem-solving skills and a collaborative mindset More ❯

or internship involving AI or machine learning Understanding of neural networks, NLP, or computer vision concepts Experience using Jupyter notebooks, Git, or cloud platforms (AWS, GCP, Azure) Knowledge of SQL or data wrangling techniques What You’ll Gain Real-World Experience : Work on live AI projects with real business impact Structured Learning : Receive training and mentoring in AI tools, techniques More ❯

would will be able to be onsite 2 days per week. Role Responsibilities Software development in .NET framework in C# Development of data warehouse ETL processes Optimisation of T-SQL queries Essential for the role Azure data factory .NET, C# and Python skills Experience of developing and working with API's Ideally 3 years experience minimum More ❯

on the latest technologies and analytics platforms Your impact Master’s degree in Sports Analytics, Data Science, Mathematics, or a related field. Tableau Certification and strong proficiency in Tableau, SQL, and Python or R. Experience with Snowflake and football data manipulation. Excellent communication skills and the ability to engage both technical and non-technical audiences. A collaborative mindset and a More ❯

FinOps practices Strong experience of automation and developing Infrastructure as Code (Terraform, Ansible) Proven experience with Azure DevOps. Azure Repos, GitHub Experience of modernisation using Azure IaaS, PaaS (e.g. SQL), and SaaS Experience of containerisation technologies (e.g. Docker, Kubernetes, Azure Container Registry) Proven experience of working in a fast-paced environment managing multiple initiatives in parallel Candidates should have a More ❯

driven. Therefore, we will provide you 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 analysts. Learn Tableau - Tableu More ❯

capabilities. Desirable Skills/Experience Experience with HRIS platforms Exposure to reporting tools such as Power BI Understanding of data integrations and workflow automation Familiarity with SharePoint Exposure to SQL and associated database tools. Knowledge of data security and working in regulated environments Competitive remuneration package offered. Salary negotiable and dependent on experience. If you feel that you have the More ❯

relevant to the jobs you have completed. Personal statement - This is your opportunity to evidence clear examples of how you meet the following: Solid understanding of relational databases and SQL scripting. Detailed working knowledge and experience of development and deployment in Cloud environments (AWS, Azure). Proven ability of supporting and maintaining complex legacy applications in live environments. Demonstrable experience More ❯

our BI and FP&A Analysts Working with 3rd parties to understand all our company data to present in the Data Warehouse or appropriate reporting database Administration of existing SQL server database alongside the data warehouse Daily monitoring of all databases and data sets, ensuring availability and accuracy Protect data through application of secure by design principles Keeps up to … date with technological developments Deliver ad hoc data projects (e.g. system data migrations) where required Required Skills Good Experience and technical skills in Programming languages such as SQL, Python, Spark SQL and others Experience providing BI data sets, especially utilising Kimball Data Warehouse concepts Experience of cleansing, Analysing, Preparing and Exploring data through ETL techniques Ability to breakdown and deliver … and reporting. BA or master's in computer science, information systems, mathematics, machine learning, or similar (or a data analytics certification acquired through a specific program). Experience of SQL Server Azure stack (Azure DevOps, Azure SQL Server, Data Factory, etc) or similar. Experience working with large structured and unstructured datasets. Evidence of good coding standards and development within Agile More ❯

driven. Therefore, we will provide you 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 analysts. Learn Tableau - Tableu More ❯

next 12 months that you can play a part in. Key requirements include: Previous commercial experience of working with financial systems System implementation knowledge Comfortable with tools such as SQL, SSRS, Power BI, Excel Ability to communicate effectively with multiple stakeholders and users More ❯

efficiently, to specification, and with excellence. Key Skills for the Software Development Team Lead: Proven experience as a Team Lead or Senior Developer Strong technical expertise in; C#.NET, Oracle, SQL, RabbitMQ or Kafka Experience managing small, agile teams in a fast-paced environment. Ability to bridge the gap between technical and non-technical stakeholders. Strong decision-making and problem-solving More ❯

Essential: Strong AWS services experience (S3, Redshift, Athena, Glue, Batch, Lambda, Step Functions, SQS, EMR). Terraform (IaC), Airflow (orchestration), CI/CD (YAML, GitLab/GitHub). Python, SQL, Bash. AWS security/IAM, VPC networking, Docker. Backup and disaster recovery knowledge. Problem-solving and troubleshooting mindset. Agile ways of working. Strong communication and stakeholder management. Collaborative team player. More ❯

which are normally IT driven. We 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 analysts. Learn Tableau - Tableu More ❯

you'll bring: Strong experience in C# .NET and RESTful API development Solid understanding of the software development lifecycle Proven ability to write unit and integration tests Expertise in SQL/NoSQL databases and performance tuning Ability to lead and inspire teams, fostering a culture of innovation Bonus skills: CI/CD pipelines, frontend frameworks, containerisation (Docker/Kubernetes), infrastructure More ❯

FinOps practices * Strong experience of automation and developing Infrastructure as Code (Terraform, Ansible) * Proven experience with Azure DevOps, Azure Repos, GitHub * Experience of modernisation using Azure IaaS, PaaS (e.g. SQL), and SaaS * Experience of containerisation technologies (e.g. Docker, Kubernetes, Azure Container Registry) Senior Azure & DevOps Engineer In accordance with the Employment Agencies and Employment Businesses Regulations 2003, this position is More ❯

and Leadership. Experience managing and maintaining website CMS systems is preferable (current website built on Wordpress/Elementor) KEY KPIs Increase in qualified pipeline Funnel conversion rates (MQL to SQL to Opportunity) Cost per Lead and Cost per Acquisition. Uplift in average deal size CRM adoption and data quality metrics Timely delivery of campaigns and strategic initiatives Engagement rates from More ❯

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 and build advanced trading and analytics platforms used globally by … Swarm. Familiarity with system monitoring 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 and deliver solutions. Desirable (but not More ❯

front-End experience is advantageous 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 is up to £55,000 dependent on experience + More ❯

Graduate Data Scientist, you will support the design, development, and delivery of data science solutions across the business. You’ll work on: Data Exploration & Analysis : Use Python, R, or SQL to clean, explore, and visualise data to uncover patterns and trends. Model Building : Assist in developing machine learning and statistical models to solve business problems (e.g., forecasting, segmentation, recommendation). … skills and ability to explain complex concepts clearly Nice to Have (But Not Required): Familiarity with data visualisation tools like Tableau, Power BI, or matplotlib/seaborn Experience with SQL and querying databases Exposure to cloud platforms (e.g., AWS, GCP, or Azure) Knowledge of version control systems (e.g., Git) Participation in data science competitions (e.g., Kaggle) or hackathons What You More ❯