101 to 125 of 2,530 SQL Jobs in the UK excluding London

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 ❯

general good practice in collaborative development applied data science : strong grounding in statistics and a range of standard techniques (supervised/unsupervised ML, cross-validation, time-series, NLP basics, SQL) experience building end-to-end LLM applications (prompt engineering, data models, API integration, input/output handling). communication skills : able to explain technical work clearly to both technical and More ❯

general good practice in collaborative development applied data science : strong grounding in statistics and a range of standard techniques (supervised/unsupervised ML, cross-validation, time-series, NLP basics, SQL) experience building end-to-end LLM applications (prompt engineering, data models, API integration, input/output handling). communication skills : able to explain technical work clearly to both technical and 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 ❯

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 ❯

making Advanced proficiency in corporate reporting tools, including Tableau, Excel, Alteryx, Power BI, and Databricks, with a strong ability to design and automate data workflows Solid working knowledge of SQL, capable of writing intermediate-level queries for data extraction, transformation, and analysis Expert-level user of Microsoft Office applications, with particular strength in Excel, Word, and PowerPoint for data presentation 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 ❯

Business context and stakeholder engagement Effective communication and presentation of data insights Practical Skills Extracting, cleaning, and validating data from multiple sources Using data analysis tools such as Excel, SQL, Python, R, or Power BI Creating meaningful reports and dashboards to support decision-making Interpreting data trends and patterns to provide actionable insights Collaborating with teams to understand data requirements More ❯

development of the data warehouse and reporting environment Promote best practices in BI and self-serve analytics What You’ll Need 4+ years in a BI development role Strong SQL and Power BI skills Experience with SSIS, SSRS, SSAS Familiarity with Snowflake or similar cloud data platforms Comfortable with scripting (e.g. Python) and Visual Studio Excellent problem-solving and communication More ❯

deliver clean datasets. Optimise data architecture for performance and reliability. Share best practices and contribute to team knowledge. Required Skills 3+ years in a data engineering role. Proficient in SQL and Python . Strong experience with AWS services (e.g., Lambda, Glue, Redshift, S3). Solid understanding of data warehousing and modelling: star/snowflake schema Familiarity with Git , CI/ More ❯

development of the data warehouse and reporting environment Promote best practices in BI and self-serve analytics What You’ll Need 4+ years in a BI development role Strong SQL and Power BI skills Experience with SSIS, SSRS, SSAS Familiarity with Snowflake or similar cloud data platforms Comfortable with scripting (e.g. Python) and Visual Studio Excellent problem-solving and communication More ❯

as Power Apps, will go a long way. What we’re looking for Strong hands-on experience with Power BI, including DAX and data modelling Good working knowledge of SQL Confidence in engaging stakeholders and explaining data clearly Awareness of data engineering processes (ETL, pipelines) – but no need to build them yourself Familiarity with HubSpot reporting or any CRM system More ❯

as Power Apps, will go a long way. What we’re looking for Strong hands-on experience with Power BI, including DAX and data modelling Good working knowledge of SQL Confidence in engaging stakeholders and explaining data clearly Awareness of data engineering processes (ETL, pipelines) – but no need to build them yourself Familiarity with HubSpot reporting or any CRM system More ❯

senior developers and cross-functional teams. Contribute to design, architecture, and code reviews. Suggest and implement improvements to systems and processes. Skills & Experience 4-6 years' experience with .NET, SQL, Angular, React, and REST APIs. Strong grasp of OOP, SOLID principles, and Agile delivery. Experience with version control (Git) and CI/CD pipelines. Familiarity with cloud platforms (Azure or More ❯

senior developers and cross-functional teams. Contribute to design, architecture, and code reviews. Suggest and implement improvements to systems and processes. Skills & Experience 4-6 years' experience with .NET, SQL, Angular, React, and REST APIs. Strong grasp of OOP, SOLID principles, and Agile delivery. Experience with version control (Git) and CI/CD pipelines. Familiarity with cloud platforms (Azure or More ❯

senior developers and cross-functional teams. Contribute to design, architecture, and code reviews. Suggest and implement improvements to systems and processes. Skills & Experience 4-6 years' experience with .NET, SQL, Angular, React, and REST APIs. Strong grasp of OOP, SOLID principles, and Agile delivery. Experience with version control (Git) and CI/CD pipelines. Familiarity with cloud platforms (Azure or More ❯

senior developers and cross-functional teams. Contribute to design, architecture, and code reviews. Suggest and implement improvements to systems and processes. Skills & Experience 4-6 years' experience with .NET, SQL, Angular, React, and REST APIs. Strong grasp of OOP, SOLID principles, and Agile delivery. Experience with version control (Git) and CI/CD pipelines. Familiarity with cloud platforms (Azure or More ❯

. Proven ability to translate business requirements into BI solutions. Good understanding of data warehousing, ETL, and data modelling. Strong knowledge of data quality, governance, and management. Proficiency with SQL and cloud-based databases. Effective communicator for both technical and non-technical audiences. Experience documenting BI solutions, including data dictionaries and metadata. Hands-on experience with Qlik Sense and NPrinting. More ❯

. Proven ability to translate business requirements into BI solutions. Good understanding of data warehousing, ETL, and data modelling. Strong knowledge of data quality, governance, and management. Proficiency with SQL and cloud-based databases. Effective communicator for both technical and non-technical audiences. Experience documenting BI solutions, including data dictionaries and metadata. Hands-on experience with Qlik Sense and NPrinting. More ❯

degree in Maths, Finance, Business, or a related field. Experience : Minimum of 2 years’ experience in data analysis and reporting. Technical Skills : Proficiency in data analysis tools such as SQL, Excel, along with Tableau and Power BI. Experience with database management and data visualization. Analytical Skills : Strong analytical and problem-solving skills with the ability to interpret complex data sets More ❯