51 to 75 of 2,771 SQL Jobs in the UK excluding London

culture of data excellence Continuously seek opportunities to improve data reliability, automation, and reusability Experience & Skills Required: Proficiency in the Azure data stack, including Azure Data Factory and Azure SQL is essential Proven experience with Power BI and a keen eye for effective, user-friendly data visualisation Strong background in data warehouse design (preferably Kimball methodology; fact/dimension tables More ❯

of data security best practices.Experience in supporting ETLs or data pipelines crucial to a production system.Experience working in a cross-functional team to deliver technical solutions.Desirable Skills:Experience with SQL Server, SSIS, Azure Data Factory, and Azure SQL.Experience with Cloud and Infrastructure as Code, particularly in an Azure setting using Bicep.Understanding of DevOps practices and the associated benefits.Skill in database More ❯

Data Science, Computer Science, Information Systems, or other equivalent Experienced in data analysis, BI, or a related area Familiarity with BI tools (e.g. Tableau, Power BI, Looker) and basic SQL for data querying Proficiency in Microsoft Excel for data manipulation and reporting Solid ability to analyse and interpret data, with keen attention to detail Basic experience with data modelling Exposure More ❯

with data governance and compliance regulations (e.g., GDPR, HIPAA). • Strong experience of Agile practises and especially scrum of scrums and Atlassian tooling. • Proficiency in database management systems (e.g., SQL, NoSQL). • Experience of data analytics tool such as Python and R. • Data modelling tooling such as Power Designer. • Experience of BI tools. • Experience of working with Data Office departments. More ❯

with data governance and compliance regulations (e.g., GDPR, HIPAA). • Strong experience of Agile practises and especially scrum of scrums and Atlassian tooling. • Proficiency in database management systems (e.g., SQL, NoSQL). • Experience of data analytics tool such as Python and R. • Data modelling tooling such as Power Designer. • Experience of BI tools. • Experience of working with Data Office departments. More ❯

with data governance and compliance regulations (e.g., GDPR, HIPAA). • Strong experience of Agile practises and especially scrum of scrums and Atlassian tooling. • Proficiency in database management systems (e.g., SQL, NoSQL). • Experience of data analytics tool such as Python and R. • Data modelling tooling such as Power Designer. • Experience of BI tools. • Experience of working with Data Office departments. More ❯

promote inclusive collaboration, encourage new ideas, and play a key part in pushing our data capabilities to the next level. What you'll bring: Technical Excellence: Advanced Python and SQL skills, with hands-on experience in relational and dimensional data modelling. Modern Data Engineering: Proven ability to design and deliver scalable solutions using tools like Microsoft Fabric (strongly preferred), Synapse More ❯

with industry experts to deliver solutions that make a real difference in the legal profession. We are seeking an experienced engineer with a strong background in .NET/C#, SQL, and cloud services development to deliver world-class software solutions to our customers, primarily focused in the area of information governance. The ideal candidate will have a proven track record More ❯

Node.js, and in event-driven and eventual consistency systems using Kafka, .Net, Java, REST APIs, AWS, Terraform and DevOps Nice to have:experience in data pipping and modelling using SQL, DBT, ETL, Data Warehousing, Redshift and Python, and ecommerce and mobile applications background Additional Information Were a community here that cares as much about your life outside work as how More ❯

to commission and incentive scheme processing. Ability to operate in an environment of change and ambiguity, setting clear direction and structure. Familiarity with tools such as Power BI, Tableau, SQL, Python or equivalent. Desirable: Experience in regulated industries or complex, multi-stakeholder B2B environments. About Us What's in it for you... Healthcare plan, life assurance and generous pension contribution More ❯

requirements from stakeholders into robust, well-documented and tested dbt models.• Develop and own workflows within Google Cloud Platform environments, primarily using BigQuery and dbt.• Write high-quality, optimised SQL for data transformation and analysis.• Develop and maintain scalable data pipelines within the Google Cloud Platform, ensuring efficient and cost-effective data transformations.• Take ownership of dbt project health, monitoring More ❯

5+ years of solid data engineering experience , with deep expertise in ETL and data warehousing (especially BigQuery). Hands-on competence with Looker (LookML) or similar BI tools. Strong SQL skills and familiarity with orchestration tools like Airflow (or similar). A thoughtful approach to data modeling, query optimization, and performance tuning. Excellent analytical problem-solving skills and the ability More ❯

communication skills, capable of presenting findings clearly and facilitating collaborative discussions. Technical proficiency in Power BI (DAX, data modelling), with exposure to Salesforce Analytics and Alteryx preferred. Knowledge of SQL, Python, or R is advantageous for data manipulation and automation. Proven ability in relationship building and stakeholder management, with a collaborative approach to driving outcomes. Highly organised with project management More ❯

data quality, support strategic decision-making, and enhance the organisation's data landscape. This is a permanent role, based in London and is hybrid working. Requirements : Advanced proficiency in SQL and intermediate Python skills Proven experience with Power BI for data visualisation Hands-on experience with cloud-based platforms and data warehousing tools (e.g., Google Cloud Platform, Big Query) Proven More ❯

integration pipelines Complete Data Engineering end-to-end ownership of demand delivery Provide technical guidance for team members Providing 2nd or 3rd level technical support About You Experience using SQL, SQL Server DB, Python & PySpark Experience using Azure Data Factory Experience using Data Bricks and Cloudsmith Data Warehousing Experience Project Management Experience The ability to interact with the operational business More ❯

and archival strategies in cloud environments. Strong understanding and practical implementation of Medallion Architecture (Bronze, Silver, Gold layers) for structured data processing. Advanced programming skills in Python, PySpark, and SQL, with the ability to build modular, efficient, and scalable data pipelines. Deep expertise in data modeling for both relational databases and data warehouses, including Star and Snowflake schema designs. Extensive More ❯

and archival strategies in cloud environments. Strong understanding and practical implementation of Medallion Architecture (Bronze, Silver, Gold layers) for structured data processing. Advanced programming skills in Python, PySpark, and SQL, with the ability to build modular, efficient, and scalable data pipelines. Deep expertise in data modeling for both relational databases and data warehouses, including Star and Snowflake schema designs. Extensive More ❯

and archival strategies in cloud environments. Strong understanding and practical implementation of Medallion Architecture (Bronze, Silver, Gold layers) for structured data processing. Advanced programming skills in Python, PySpark, and SQL, with the ability to build modular, efficient, and scalable data pipelines. Deep expertise in data modeling for both relational databases and data warehouses, including Star and Snowflake schema designs. Extensive More ❯

through collaborative work with engineering and architecture teams. Essential Experience & Skills: Proven background in Data Analysis, with approx. 4+ years in a senior or equivalent role. Strong experience in SQL (writing and optimising complex queries). Proficiency in Python (including libraries like Pandas, NumPy, SQLAlchemy). Experience working with large datasets , and advanced data modelling techniques. Ability to engage with More ❯

through collaborative work with engineering and architecture teams. Essential Experience & Skills: Proven background in Data Analysis, with approx. 4+ years in a senior or equivalent role. Strong experience in SQL (writing and optimising complex queries). Proficiency in Python (including libraries like Pandas, NumPy, SQLAlchemy). Experience working with large datasets , and advanced data modelling techniques. Ability to engage with More ❯

through collaborative work with engineering and architecture teams. Essential Experience & Skills: Proven background in Data Analysis, with approx. 4+ years in a senior or equivalent role. Strong experience in SQL (writing and optimising complex queries). Proficiency in Python (including libraries like Pandas, NumPy, SQLAlchemy). Experience working with large datasets , and advanced data modelling techniques. Ability to engage with More ❯

SaaS or software product company. Experience with access control and intrusion detection systems. Familiarity with virtualization technologies (e.g., VMware, Hyper-V). Knowledge of database systems (e.g., PostgreSQL, MS SQL). Relevant industry certifications (e.g., CompTIA Network+, Security+, CCNA). Experience providing technical training to end-users. Required Qualifications: Experience: 3+ years in a technical support, DevOps, or systems engineering More ❯

in the creation and ongoing maintenance of documentation, including data dictionaries, data catalogues, data flow diagrams, and process documentation. What we want from you: Proficiency with the Python and SQL programming languages. Hands-on experience with cloud platforms like AWS, GCP, or Azure, and familiarity with big data technologies such as Hadoop or Spark. Experience working with relational databases and More ❯

with a strong understanding of investment data and processes. Proven ability to deliver software solutions within financial services using agile methodologies and working effectively in agile squads. Proficiency in SQL and/or Python for data querying and validation. Skilled in using documentation and project tracking tools such as Jira, Confluence, or Azure DevOps. Familiarity with cloud data warehouse platforms More ❯

analytical role (e.g., Business Analyst, Data Analyst, Strategy Analyst) within a consulting firm, tech company, or product-led organization. You possess a strong quantitative background and are proficient in SQL, Python, R, or other data analysis tools. Experience with data visualization platforms (e.g., Tableau, Looker, Power BI) is essential. You are a structured problem-solver who breaks down complex, ambiguous More ❯