176 to 200 of 2,352 SQL Jobs in the UK excluding London

reporting processes Maintain strong stakeholder relationships to ensure effective service delivery What You'll Bring Strong Microsoft Excel skills Exposure to BI and automation tools such as Power BI, SQL, Python, VBA, Alteryx, or Power Query Solid understanding of data handling, transformation, and analysis principles Ability to work independently, prioritise tasks, and perform under pressure High attention to detail and More ❯

and team-building activities Ongoing training and professional development opportunities The Requirements: Minimum of 4 years' experience in a reporting and analytics role Strong knowledge of relational database languages (SQL) Experience using Microsoft Power BI or similar reporting tools Advanced Excel skills with excellent attention to detail Highly analytical with strong problem-solving abilities Confident communicator with the ability to More ❯

ll also get hands-on with tools like Datadog or CloudWatch to monitor performance and keep things secure and efficient. If you enjoy writing clean Python code, working with SQL, and collaborating with analysts and engineers, this could be a great fit. There's also an exciting opportunity to support AI initiatives ,helping to build infrastructure for training, deploying large More ❯

ll also get hands-on with tools like Datadog or CloudWatch to monitor performance and keep things secure and efficient. If you enjoy writing clean Python code, working with SQL, and collaborating with analysts and engineers, this could be a great fit. There's also an exciting opportunity to support AI initiatives ,helping to build infrastructure for training, deploying large More ❯

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 ❯

business models, metrics, and emerging technologies. Ability to work independently, manage multiple priorities, and thrive in a fast-paced environment. Strong analytical skills with proficiency in Excel; familiarity with SQL or BI tools (Tableau, Power BI, Looker) is a plus. Nice-to-Have Internship or academic project experience related to SaaS, business analysis, or data. Knowledge of Python, R, or More ❯

business models, metrics, and emerging technologies. Ability to work independently, manage multiple priorities, and thrive in a fast-paced environment. Strong analytical skills with proficiency in Excel; familiarity with SQL or BI tools (Tableau, Power BI, Looker) is a plus. Nice-to-Have Internship or academic project experience related to SaaS, business analysis, or data. Knowledge of Python, R, or More ❯

business models, metrics, and emerging technologies. Ability to work independently, manage multiple priorities, and thrive in a fast-paced environment. Strong analytical skills with proficiency in Excel; familiarity with SQL or BI tools (Tableau, Power BI, Looker) is a plus. Nice-to-Have Internship or academic project experience related to SaaS, business analysis, or data. Knowledge of Python, R, or More ❯

Reliability Engineer - Oracle you should have experience with: Oracle Enterprise manager (OEM), Oracle Internet Directory (OID),Oracle database Performance Tuning – SME Deep understanding of LDAP protocols and directory services. SQL Optimization Strong skills in scripting languages (e.g., Python, Bash) to automate repetitive tasks and knowledge of configuration management tools (e.g., Ansible, Puppet, Chef). Expertise in setting up and maintaining More ❯

and best practices. ● Strong understanding of software development lifecycles, cloud technologies and modern engineering practices. ● Experience with the following technologies: o Cloud Provider: AWS o Languages: Python, PHP, Rust & SQL o Hosting: Kubernetes o Tooling & Analytics: Airflow, RabbitMQ, Apache Spark, PowerBI ● Proven ability to complete projects according to outlined scope, budget, and timeline ● Experience with industry standard tools such as More ❯

and best practices. ● Strong understanding of software development lifecycles, cloud technologies and modern engineering practices. ● Experience with the following technologies: o Cloud Provider: AWS o Languages: Python, PHP, Rust & SQL o Hosting: Kubernetes o Tooling & Analytics: Airflow, RabbitMQ, Apache Spark, PowerBI ● Proven ability to complete projects according to outlined scope, budget, and timeline ● Experience with industry standard tools such as More ❯

Qualifications: Bachelor’s degree in computer science, Engineering, or a related field. 5+ years of experience in data engineering, with a strong focus on Snowflake and AWS. Proficiency in SQL, Python, and ETL tools ( Streamsets, DBT etc.) Hands on experience with Oracle RDBMS Data Migration experience to Snowflake Experience with AWS services such as S3, Lambda, Redshift, and Glue. Strong More ❯

Practice. You will have the following experience : 8+ years of experience in data engineering or cloud development. Strong hands-on experience with AWS services Proficiency in Databricks, Apache Spark, SQL, and Python. Experience with data modeling, data warehousing, and DevOps practices. Familiarity with Delta Lake, Unity Catalog, and Databricks REST APIs. Excellent problem-solving and communication skills. About Capgemini Capgemini More ❯

Practice. You will have the following experience : 8+ years of experience in data engineering or cloud development. Strong hands-on experience with AWS services Proficiency in Databricks, Apache Spark, SQL, and Python. Experience with data modeling, data warehousing, and DevOps practices. Familiarity with Delta Lake, Unity Catalog, and Databricks REST APIs. Excellent problem-solving and communication skills. About Capgemini Capgemini More ❯

Practice. You will have the following experience : 8+ years of experience in data engineering or cloud development. Strong hands-on experience with AWS services Proficiency in Databricks, Apache Spark, SQL, and Python. Experience with data modeling, data warehousing, and DevOps practices. Familiarity with Delta Lake, Unity Catalog, and Databricks REST APIs. Excellent problem-solving and communication skills. About Capgemini Capgemini More ❯

tasks. Profile A successful Data Engineer should have: A strong understanding of data engineering principles and best practices. Strong Power BI skills Proficiency in programming languages such as Python, SQL, or equivalent. Experience with cloud platforms and data storage solutions. Knowledge of ETL tools and processes. Familiarity with data visualisation and analytics tools. A problem-solving mindset and attention to More ❯

UI). Contribute to coding, testing, debugging, and release. Collaborate with developers and wider teams. Suggest improvements and contribute to innovation projects. Skills & Experience 2 years' experience with .NET, SQL, Angular, React, and REST APIs. Knowledge of OOP, SOLID principles, and version control (Git). Familiarity with Agile environments. Degree in Computer Science or related field (or equivalent experience) Bonus More ❯

UI). Contribute to coding, testing, debugging, and release. Collaborate with developers and wider teams. Suggest improvements and contribute to innovation projects. Skills & Experience 2 years' experience with .NET, SQL, Angular, React, and REST APIs. Knowledge of OOP, SOLID principles, and version control (Git). Familiarity with Agile environments. Degree in Computer Science or related field (or equivalent experience) Bonus More ❯

and reporting. Oracle (good to have). Solid understanding of Agile and Scrum frameworks. Hands-on experience with DevOps tools and practices (e.g., Jenkins, Git, Docker, Kubernetes). Strong SQL and data modeling skills. Excellent problem-solving, communication, and leadership abilities. Key Qualifications: Proven track record of data projects and teams. Certifications in Agile/Scrum, DevOps, or relevant data More ❯

and reporting. Oracle (good to have). Solid understanding of Agile and Scrum frameworks. Hands-on experience with DevOps tools and practices (e.g., Jenkins, Git, Docker, Kubernetes). Strong SQL and data modeling skills. Excellent problem-solving, communication, and leadership abilities. Key Qualifications: Proven track record of data projects and teams. Certifications in Agile/Scrum, DevOps, or relevant data More ❯

services in Microsoft Azure. Especially Synapse, ADF and Power BI (Datasets and Reports). Ideally SSIS, SSRS, SSAS with some understanding of Power App design and delivery Proficient in SQL and Python (PySpark) languages Understanding of data modelling concepts Experience of working with code management & deployment tools Proficient in debugging, monitoring, tuning and troubleshooting BI solutions. Knowledge and a proven More ❯

HTML, CSS (SASS) Experience with JavaScript frameworks (React, Vue, Angular, Node, TypeScript). Strong back-end expertise in C#.NET or Node/Express. Solid understanding of database technologies, both SQL and NoSQL. Experienced in developing accessible, responsive, and cross-browser applications. Confident working with Git and agile project tools such as Jira or Azure DevOps. Previous experience with CMS platforms More ❯

it: Hybrid role – variety of data analysis, product development, and AI innovation Exposure to multiple industries A highly collaborative, intellectually curious team environment 💡 What you bring: ✅ Deep technical skills – SQL, Python, Power BI (and Excel mastery, of course) ✅ Analytical storytelling – spot the patterns, tell the story, influence decisions ✅ Data Warehousing experience - Comfortable managing data warehouses and reporting processes ✅ Financial Services More ❯

it: Hybrid role – variety of data analysis, product development, and AI innovation Exposure to multiple industries A highly collaborative, intellectually curious team environment 💡 What you bring: ✅ Deep technical skills – SQL, Python, Power BI (and Excel mastery, of course) ✅ Analytical storytelling – spot the patterns, tell the story, influence decisions ✅ Data Warehousing experience - Comfortable managing data warehouses and reporting processes ✅ Financial Services More ❯

it: Hybrid role – variety of data analysis, product development, and AI innovation Exposure to multiple industries A highly collaborative, intellectually curious team environment 💡 What you bring: ✅ Deep technical skills – SQL, Python, Power BI (and Excel mastery, of course) ✅ Analytical storytelling – spot the patterns, tell the story, influence decisions ✅ Data Warehousing experience - Comfortable managing data warehouses and reporting processes ✅ Financial Services More ❯