51 to 75 of 2,279 SQL Jobs in England

major advantage. Advanced proficiency in Python for data science and machine learning applications. Familiarity with cloud-based infrastructure, preferably Azure. Expertise with Data Warehousing/Data Lakes. Proficiency in SQL for data extraction and analysis. Strong experience with data visualization tools such as PowerBI and Tableau. Understanding Java is a plus. Desired Behaviors Independence: Ability to solve complex problems independently More ❯

data to tell stories, make insight actionable, and influence decisions. Strong understanding of data models and analytics; exposure to predictive modelling and machine learning is a plus. Proficient in SQL and Python, with bonus points for PySpark, SparkSQL, and Git. Skilled in data visualisation with tools such as Tableau or Power BI. Confident writing efficient code and troubleshooting sophisticated queries. 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 ❯

compliant governance and security * Optimize performance and cost of data workflows * Collaborate with teams to deliver clean, structured data Key Skills Required: * Azure data services, Python/PySpark/SQL, data modelling * Power BI (preferred), legal system familiarity (bonus) * Strong grasp of UK data regulations Certifications: * Microsoft certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect) desirable In accordance with More ❯

successful Data Analyst should have: A strong foundation in data analysis and statistical techniques. Advance proficiency in using data visualisation tools such as Power BI or Tableau. Experience with SQL and data management systems. Experience engaging with Sales, Marketing and Finance stakeholders. Familiarity with Python or R for data manipulation and modelling. Excellent problem-solving skills and attention to detail. More ❯

successful Data Analyst should have: A strong foundation in data analysis and statistical techniques. Advance proficiency in using data visualisation tools such as Power BI or Tableau. Experience with SQL and data management systems. Experience engaging with Sales, Marketing and Finance stakeholders. Familiarity with Python or R for data manipulation and modelling. Excellent problem-solving skills and attention to detail. 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 ❯

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 ❯

of user stories Essential Skills & Experience Software development experience in Java, Scala, or Python Hands-on experience with data platforms such as AWS, Azure, GCP, or Databricks Proficient in SQL and analytical query extensions Experience working with data formats like JSON and XML Familiarity with contemporary data stores (e.g. object stores, document stores, RDBMS, graph databases) Ability to write quality More ❯

of working in a numerical, analytical, and problem-solving role in a product or service-related industry. Experience with or commitment to learn one or more coding language (e.g. SQL, Python) to extract, manipulate and summarise data from large databases. Experience with business intelligence/data visualisation tools (such as Tableau, Thoughtspot, PowerBI) Practical database skills with focus on data More ❯

and products Proven background of working in an analytical role Experience working with cloud data platforms such as Snowflake, Google (Big Query), AWS (Redshift), Azure or others Fluent in SQL Expert in data manipulation and analysis to provide actionable insights through data storytelling Experience using data analysis languages like Python or R Excellent attention to detail and proven problem-solving More ❯

XHTML, CSS and in developing with web standards (without the use of WYSIWYG editor) Strong knowledge of JavaScript/TypeScript/React/DOM development Strong knowledge of Transact -SQL (SQL Server) Azure DevOps Build and Release Pipelines Experience with AI productivity tools like cursor.ai is a plus Experience with SalesForce and Dynamics Business Central is a plus Experience with More ❯

across multiple projects, leveraging Azure and Databricks technologies in an agile environment. Core Requirements Cloud & Data Engineering: Azure, Databricks, Apache Spark, Azure Data Factory, Delta Lake Programming & Querying: Python, SQL (complex, high-performance queries) Data Governance & DevOps: Unity Catalog/Purview, Terraform, Azure DevOps Consulting: Requirements gathering, stakeholder engagement, agile delivery Desirable Experience Power BI/Tableau Azure Functions (Python More ❯

essential Have an Advanced degree in Statistics, Computer Science, Mathematics or a related field or relevant industry industry experience Have knowledge of programming and data manipulation skills such as SQL and Python, and version control (Github) is essential Experience building multi-step ETL jobs/data pipelines and working with job scheduling systems is a plus Demonstrated ability to thrive 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 ❯

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 ❯

Key Responsibilities: Deliver end-to-end BI solutions using Azure Synapse, ADF, and Power BI (Datasets & Reports) Design and implement scalable data models and architectures Develop robust pipelines using SQL, Python (PySpark), and ideally other OOP languages Manage CI/CD processes using Git and modern deployment tools Debug, monitor, and optimize BI solutions across Microsoft's stack, including legacy More ❯

design, challenge current processes, and leverage best practices to ensure high-quality delivery. Key Skills & Expertise: Strong programming skills in C#/.Net, Java, or Python Experience working with SQL databases Knowledge of cloud platforms (Azure/AWS) Ability to own full development projects from start to finish Entrepreneurial mindset and strong problem-solving skills Excellent communication skills for working More ❯

technologies.Key Responsibilities: Deliver end-to-end BI solutions using Azure Synapse, ADF, and Power BI (Datasets & Reports) Design and implement scalable data models and architectures Develop robust pipelines using SQL, Python (PySpark), and ideally other OOP languages Manage CI/CD processes using Git and modern deployment tools Debug, monitor, and optimize BI solutions across Microsoft's stack, including legacy 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 ❯

JavaScript, and TypeScript Experience with React, Vue.js, or Angular (preferred) PHP knowledge (desirable) Familiarity with cloud services (AWS, GCP, or Azure), Docker, Kubernetes Understanding of CI/CD, DevOps, SQL/NoSQL databases, and modern testing practices Strong communication and problem-solving skills Success measures Timely delivery of high-quality features Growing technical ownership and contributions Positive impact on team More ❯

leading Life Insurance client are looking for a Data Engineer to join their team on an initial 6-month contract. Key skills/knowledge required: Proficiency in Python and SQL for data engineering and application development Experience building data pipelines and ETL processes for capital markets data Hands-on experience with AWS cloud services and Snowflake data platform Experience with More ❯