1,426 to 1,450 of 5,160 SQL Jobs in the UK excluding London

reviews. What you'll bring Strong background in data science and analytics, with experience developing and deploying statistical or machine learning models. Advanced skills in Python or R and SQL, with experience using Power BI or Tableau for data visualisation. Proven ability to translate complex data into clear, actionable business recommendations. Excellent communication and stakeholder management skills. Prior exposure to More ❯

cycles Champion a data-driven culture and train teams on self-serve analytics Your Skills and Experience 3-5 years' experience in a commercial or analytics role Skilled in SQL and a BI tool such as Power BI, Tableau, or DOMO Exposure to Python desirable Experience working across financial, customer, or digital data Strong communication skills with the ability to More ❯

in Python or Bash scripting Knowledge of cloud security best practices (e.g. IAM, encryption, vulnerability management) Familiar with Docker, Kubernetes, serverless, and event-driven architectures Comfortable working with both SQL and NoSQL databases A passion for engineering excellence and staying on top of emerging tech Eligible for SC or DV clearance (current clearance a strong plus) Nice to have: Experience More ❯

planning cycles Champion a data-driven culture and train teams on self-serve analytics Your Skills and Experience 35 years experience in a commercial or analytics role Skilled in SQL and a BI tool such as Power BI, Tableau, or DOMO Exposure to Python desirable Experience working across financial, customer, or digital data Strong communication skills with the ability to More ❯

/.Net experience – they use .Net 8 on this project. Ideally have worked with Python which is used across the business. Good understanding of the Azure toolset – Functions, Services, SQL, SaaS. Other technologies include ASP.NET, WebAPIs, Testing & CI/CD. Good collaborations skills and ability to communicate amongst different teams. Happy working in an environment where you have autonomy and More ❯

/.Net experience – they use .Net 8 on this project. Ideally have worked with Python which is used across the business. Good understanding of the Azure toolset – Functions, Services, SQL, SaaS. Other technologies include ASP.NET, WebAPIs, Testing & CI/CD. Good collaborations skills and ability to communicate amongst different teams. Happy working in an environment where you have autonomy and More ❯

work across both legacy and modern technology. To succeed, you will have: 5+ years' experience in software engineering. Strong expertise in Delphi and C# . Experience with APIs, Oracle, SQL, Git, Agile/Scrum, and cloud platforms (Azure/AWS). The ability to act as a technical lead and mentor within a team. An interest in continuous improvement and More ❯

work across both legacy and modern technology. To succeed, you will have: 5+ years' experience in software engineering. Strong expertise in Delphi and C# . Experience with APIs, Oracle, SQL, Git, Agile/Scrum, and cloud platforms (Azure/AWS). The ability to act as a technical lead and mentor within a team. An interest in continuous improvement and More ❯

reviews. What you’ll bring Strong background in data science and analytics, with experience developing and deploying statistical or machine learning models. Advanced skills in Python or R and SQL, with experience using Power BI or Tableau for data visualisation. Proven ability to translate complex data into clear, actionable business recommendations. Excellent communication and stakeholder management skills. Prior exposure to More ❯

cycles Champion a data-driven culture and train teams on self-serve analytics Your Skills and Experience 3-5 years' experience in a commercial or analytics role Skilled in SQL and a BI tool such as Power BI, Tableau, or DOMO Exposure to Python desirable Experience working across financial, customer, or digital data Strong communication skills with the ability to More ❯

reviews. What you’ll bring Strong background in data science and analytics, with experience developing and deploying statistical or machine learning models. Advanced skills in Python or R and SQL, with experience using Power BI or Tableau for data visualisation. Proven ability to translate complex data into clear, actionable business recommendations. Excellent communication and stakeholder management skills. Prior exposure to More ❯

reviews. What you’ll bring Strong background in data science and analytics, with experience developing and deploying statistical or machine learning models. Advanced skills in Python or R and SQL, with experience using Power BI or Tableau for data visualisation. Proven ability to translate complex data into clear, actionable business recommendations. Excellent communication and stakeholder management skills. Prior exposure to More ❯

cycles Champion a data-driven culture and train teams on self-serve analytics Your Skills and Experience 3–5 years’ experience in a commercial or analytics role Skilled in SQL and a BI tool such as Power BI, Tableau, or DOMO Exposure to Python desirable Experience working across financial, customer, or digital data Strong communication skills with the ability to More ❯

support. AWS BI Stack: Redshift, Glue, Airflow, S3, Step Functions. Experience in data modeling, ETL pipelines, and reverse engineering. Proficiency in Power BI (preferred), Business Objects, or Qlik. Strong SQL scripting, optimisation, and troubleshooting capabilities. Previous experience managing deployments, version control, rollbacks, and user access to ensure operational security and compliance. Lead hiring, mentoring, and development of high-performing teams More ❯

support. AWS BI Stack: Redshift, Glue, Airflow, S3, Step Functions. Experience in data modeling, ETL pipelines, and reverse engineering. Proficiency in Power BI (preferred), Business Objects, or Qlik. Strong SQL scripting, optimisation, and troubleshooting capabilities. Previous experience managing deployments, version control, rollbacks, and user access to ensure operational security and compliance. Lead hiring, mentoring, and development of high-performing teams More ❯

support. AWS BI Stack: Redshift, Glue, Airflow, S3, Step Functions. Experience in data modeling, ETL pipelines, and reverse engineering. Proficiency in Power BI (preferred), Business Objects, or Qlik. Strong SQL scripting, optimisation, and troubleshooting capabilities. Previous experience managing deployments, version control, rollbacks, and user access to ensure operational security and compliance. Lead hiring, mentoring, and development of high-performing teams More ❯

3+ years at senior level). Proven experience with data engineering/ETL and time-series or market data. Experience building dashboards/visualisations - Grafana highly preferable . Solid SQL skills and working knowledge of databases (Postgres, TimescaleDB or similar). Familiarity with containerisation (Docker), CI/CD pipelines and observability/monitoring. Comfortable working directly with trading or business More ❯

strategic decisions across business units. What We're Looking For 8+ years' experience in Data Analytics or Data Science (ideally within Customer Success, Operations, or Digital Experience). Strong SQL skills for data extraction, transformation, and pipeline development. Proficiency in Tableau, Qlik, or similar visualization tools. Experience with big data tools (Snowflake, Databricks, Spark) and ETL processes. Exposure to Python More ❯

system performance and reliability. Contributing to code reviews, architecture discussions, and continuous improvement initiatives. What You'll Need Strong experience with Java and Spring Boot . Good understanding of SQL and NoSQL databases (PostgreSQL, MongoDB, etc.). Exposure to cloud platforms such as AWS, Azure, or GCP. Experience with Git and modern CI/CD practices. Understanding of Agile software More ❯

strategic decisions across business units. What We’re Looking For 8+ years’ experience in Data Analytics or Data Science (ideally within Customer Success, Operations, or Digital Experience). Strong SQL skills for data extraction, transformation, and pipeline development. Proficiency in Tableau, Qlik, or similar visualization tools. Experience with big data tools (Snowflake, Databricks, Spark) and ETL processes. Exposure to Python More ❯

system performance and reliability. Contributing to code reviews, architecture discussions, and continuous improvement initiatives. What You’ll Need Strong experience with Java and Spring Boot . Good understanding of SQL and NoSQL databases (PostgreSQL, MongoDB, etc.). Exposure to cloud platforms such as AWS, Azure, or GCP. Experience with Git and modern CI/CD practices. Understanding of Agile software More ❯

system performance and reliability. Contributing to code reviews, architecture discussions, and continuous improvement initiatives. What You’ll Need Strong experience with Java and Spring Boot . Good understanding of SQL and NoSQL databases (PostgreSQL, MongoDB, etc.). Exposure to cloud platforms such as AWS, Azure, or GCP. Experience with Git and modern CI/CD practices. Understanding of Agile software More ❯

strategic decisions across business units. What We’re Looking For 8+ years’ experience in Data Analytics or Data Science (ideally within Customer Success, Operations, or Digital Experience). Strong SQL skills for data extraction, transformation, and pipeline development. Proficiency in Tableau, Qlik, or similar visualization tools. Experience with big data tools (Snowflake, Databricks, Spark) and ETL processes. Exposure to Python More ❯

3+ years at senior level). Proven experience with data engineering/ETL and time-series or market data. Experience building dashboards/visualisations — Grafana highly preferable . Solid SQL skills and working knowledge of databases (Postgres, TimescaleDB or similar). Familiarity with containerisation (Docker), CI/CD pipelines and observability/monitoring. Comfortable working directly with trading or business More ❯

to align delivery. What we're looking for: At least 5 years of experience delivering full-stack software development (Python backend, JavaScript frontend). Strong background in backend infrastructure - SQL/NoSQL, event stores, cloud storage. Proven experience in architecting secure, scalable systems in AWS, Azure, or GCP. Experience with CI/CD pipelines, agile delivery, and technical leadership. Excellent More ❯