576 to 600 of 4,574 SQL Jobs in the UK excluding London

Profile Degree in relevant subject (Data Science, Statistics, Economics or similar degree) (Essential) 3+ years' experience in the Financial Services Industry (Essential) Proficiency in Excel (Essential) Proficiency in Python, SQL or other programming languages (Essential) Ability to communicate technical insights to non-technical audiences effectively (Essential) Detail-oriented and process-driven with a focus on continuous improvement (Essential) Comfortable working More ❯

reporting processes and standards. Troubleshooting and resolving complex data and reporting issues with a proactive mindset. Main Skills Needed 4+ years’ experience as a Data Engineer or similar. Strong SQL skills and hands-on experience with Amazon Redshift (MySQL a plus). Proficiency in AWS Glue and Python scripting for ETL. Solid data modelling and dashboard development experience. Familiarity with More ❯

and tools Value writing clean, modular, and maintainable code Are excited to learn more about financial markets and trading systems Bonus experience: Ruby, Spark, Trino, Kafka Financial markets exposure SQL (Postgres, Oracle) Cloud-native deployments (AWS, Docker, Kubernetes) Observability tools (Splunk, Prometheus, Grafana) Why Apply? This is a fantastic opportunity to join a high-performance engineering team in a business More ❯

reporting processes and standards. Troubleshooting and resolving complex data and reporting issues with a proactive mindset. Main Skills Needed 4+ years’ experience as a Data Engineer or similar. Strong SQL skills and hands-on experience with Amazon Redshift (MySQL a plus). Proficiency in AWS Glue and Python scripting for ETL. Solid data modelling and dashboard development experience. Familiarity with More ❯

and tools Value writing clean, modular, and maintainable code Are excited to learn more about financial markets and trading systems Bonus experience: Ruby, Spark, Trino, Kafka Financial markets exposure SQL (Postgres, Oracle) Cloud-native deployments (AWS, Docker, Kubernetes) Observability tools (Splunk, Prometheus, Grafana) Why Apply? This is a fantastic opportunity to join a high-performance engineering team in a business More ❯

and tools Value writing clean, modular, and maintainable code Are excited to learn more about financial markets and trading systems Bonus experience: Ruby, Spark, Trino, Kafka Financial markets exposure SQL (Postgres, Oracle) Cloud-native deployments (AWS, Docker, Kubernetes) Observability tools (Splunk, Prometheus, Grafana) Why Apply? This is a fantastic opportunity to join a high-performance engineering team in a business More ❯

reporting processes and standards. Troubleshooting and resolving complex data and reporting issues with a proactive mindset. Main Skills Needed 4+ years’ experience as a Data Engineer or similar. Strong SQL skills and hands-on experience with Amazon Redshift (MySQL a plus). Proficiency in AWS Glue and Python scripting for ETL. Solid data modelling and dashboard development experience. Familiarity with More ❯

reporting processes and standards. Troubleshooting and resolving complex data and reporting issues with a proactive mindset. Main Skills Needed 4+ years’ experience as a Data Engineer or similar. Strong SQL skills and hands-on experience with Amazon Redshift (MySQL a plus). Proficiency in AWS Glue and Python scripting for ETL. Solid data modelling and dashboard development experience. Familiarity with More ❯

strong understanding of Microsoft’s ecosystem and the ability to translate business needs into smart, scalable solutions. • Proven experience with Microsoft 365 and Power Platform (PowerApps, PowerAutomate, Dataverse) • Strong SQL skills, including data modeling, performance tuning, and ETL processes • Hands-on experience with SharePoint, Teams, and Exchange integration • Experience with Azure DevOps, API integration, and application lifecycle management • Excellent communication More ❯

strong understanding of Microsoft’s ecosystem and the ability to translate business needs into smart, scalable solutions. • Proven experience with Microsoft 365 and Power Platform (PowerApps, PowerAutomate, Dataverse) • Strong SQL skills, including data modeling, performance tuning, and ETL processes • Hands-on experience with SharePoint, Teams, and Exchange integration • Experience with Azure DevOps, API integration, and application lifecycle management • Excellent communication More ❯

strong understanding of Microsoft’s ecosystem and the ability to translate business needs into smart, scalable solutions. • Proven experience with Microsoft 365 and Power Platform (PowerApps, PowerAutomate, Dataverse) • Strong SQL skills, including data modeling, performance tuning, and ETL processes • Hands-on experience with SharePoint, Teams, and Exchange integration • Experience with Azure DevOps, API integration, and application lifecycle management • Excellent communication More ❯

ll work with client teams to 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 and batch ingestion, using More ❯

backend (.NET, C#) and frontend (ReactJS) Proficient in cloud platforms Azure preferred Skilled in designing and consuming REST/GraphQL APIs Strong understanding of data modelling and database technologies (SQL, NoSQL, ADX or similar) Demonstrable experience with DevOps pipelines, CI/CD, and automated testing Knowledge of secure coding practices, OAuth2 authentication, and role-based access control Excellent analytical and More ❯

backend (.NET, C#) and frontend (ReactJS) Proficient in cloud platforms – Azure preferred Skilled in designing and consuming REST/GraphQL APIs Strong understanding of data modelling and database technologies (SQL, NoSQL, ADX or similar) Demonstrable experience with DevOps pipelines, CI/CD, and automated testing Knowledge of secure coding practices, OAuth2 authentication, and role-based access control Excellent analytical and More ❯

Ability to learn quickly and confidence to start adding value immediately Comfortable with an agile, CI/CD, DevOps environment Excellent communication skills, when collaborating as a team Excellent SQL and data analysis skills Quick-thinking problem solver who is comfortable with rudimentary maths and geometry Skilled at proposing, collaborating, and documenting development strategies Experience with automated testing tools such More ❯

able to evidence prior leadership experience in a similar role. You will have strong Mobile Network domain knowledge. You will be proficient in programming languages (such as Python, R, SQL, etc.). You will be an expert in data visualisation tools (Power BI, Tableau - Tableau preferred). You will have knowledge of machine learning algorithms and their applications. Hands-on More ❯

you'll need to succeed Experience in a financial analysis role, ideally with exposure to accounting, audit or finance. Strong IT skills, including: Advanced Excel (modelling, pivot tables, macros) SQL for data extraction and manipulation Experience with coding or scripting (e.g. Python, R) is advantageous. Familiarity with data visualisation tools (e.g. Power BI, Tableau) are desirable. Excellent analytical and problem More ❯

a Data Engineer, with strong expertise in designing and managing large-scale data systems. Hands-on proficiency with modern data technologies such as Spark, Kafka, Airflow, or dbt. Strong SQL skills and experience with cloud platforms (Azure preferred). Solid programming background in Python, Scala, or Java. Knowledge of data warehousing solutions (e.g. Snowflake, BigQuery, Redshift). Strong understanding of More ❯

data warehousing, or cloud-based data engineering. Deep technical expertise in the Microsoft ecosystem - Power BI/Fabric, Azure, and Power Platform (Power Apps, Power Automate). Proficiency in SQL and data modelling, with a strong understanding of data governance and performance optimisation. Solid understanding of automation technologies and their application at scale. Experience in Agile delivery environments, balancing quality More ❯

data warehousing, or cloud-based data engineering. Deep technical expertise in the Microsoft ecosystem - Power BI/Fabric, Azure, and Power Platform (Power Apps, Power Automate). Proficiency in SQL and data modelling, with a strong understanding of data governance and performance optimisation. Solid understanding of automation technologies and their application at scale. Experience in Agile delivery environments, balancing quality More ❯

environments. Strong programming skills with the ability to write clean, scalable, and maintainable code. Proficiency in modern JavaScript/TypeScript and Node.js; our primary stack includes React, Node.js, Python, SQL databases and DynamoDB. Experience with cloud platforms (AWS, Azure, or GCP) and containerization technologies like Docker. Familiarity with CI/CD practices and tools (GitHub Actions, Jenkins, GitLab CI, or More ❯

environments. Strong programming skills with the ability to write clean, scalable, and maintainable code. Proficiency in modern JavaScript/TypeScript and Node.js; our primary stack includes React, Node.js, Python, SQL databases and DynamoDB. Experience with cloud platforms (AWS, Azure, or GCP) and containerization technologies like Docker. Familiarity with CI/CD practices and tools (GitHub Actions, Jenkins, GitLab CI, or More ❯

business insights and support decision-making. Enforce data quality standards, governance frameworks, and robust security protocols across all data platforms. Requirements Proven expertise in data engineering and using Azure, SQL, and Databricks, including implementing medallion architecture frameworks for scalable, reliable, and governed data solutions. Strong leadership and mentorship capabilities, guiding teams through complex deliveries, fostering collaboration, and ensuring adoption of More ❯

business insights and support decision-making. Enforce data quality standards, governance frameworks, and robust security protocols across all data platforms. Requirements Proven expertise in data engineering and using Azure, SQL, and Databricks, including implementing medallion architecture frameworks for scalable, reliable, and governed data solutions. Strong leadership and mentorship capabilities, guiding teams through complex deliveries, fostering collaboration, and ensuring adoption of More ❯

business insights and support decision-making. Enforce data quality standards, governance frameworks, and robust security protocols across all data platforms. Requirements Proven expertise in data engineering and using Azure, SQL, and Databricks, including implementing medallion architecture frameworks for scalable, reliable, and governed data solutions. Strong leadership and mentorship capabilities, guiding teams through complex deliveries, fostering collaboration, and ensuring adoption of More ❯