26 to 50 of 3,182 SQL Jobs in England

systems and processes. Required Qualifications: 5+ years of experience in data engineering or a related field. Proficiency in Python and PySpark for data processing and automation. Strong command of SQL for data querying, transformation, and performance tuning. Deep experience with cloud platforms , preferably AWS (e.g., S3, Glue, Redshift, Athena, EMR, Lambda). Experience with Azure or GCP is a plus. More ❯

ecosystem (including pandas, numpy, scipy, stats), and a second strongly typed language (e.g.: C#, C++, Rust or Java) Expert in application design, security, release, testing and packaging Mastery of SQL/no-SQL databases, data pipeline orchestration tools Mastery of concurrent/distributed programming and performance optimisation methods. Experienced in Cloud Technologies - Azure/AWS Experienced in Source Control Technologies More ❯

with low-code solutions. Familiarity with MATLAB or Pandas/Polar for numerical computing and data analysis, particularly for processing workflows that require complex calculations. Database Management : Proficiency in SQL for database management (such as Microsoft SQL Server, MySQL, or PostgreSQL), including schema design, query optimisation, and data manipulation. DevOps : Knowledge of Continuous Integration and Continuous Deployment (CI/CD More ❯

quality, utilizing TDD methodologies to ensure code reliability and maintainability. Security Practices: Knowledgeable in cybersecurity practices, including OAuth, OpenID Connect, and secure coding practices. Advanced Database Knowledge:Proficient in SQL and data modelling. SOLID Principles:Proficient in applying SOLID principles for object-oriented programming, ensuring clean, maintainable, and scalable code. Additional Skills (Good to Have): Programming Language: Python, Angular Containerisation More ❯

machine learning and AI applications Familiarity with data governance frameworks Understanding of agile methodologies Experience mentoring junior team members Knowledge of programming languages commonly used in analytics (Python, R, SQL) Experience with data visualization tools (Tableau, Power BI, etc.) You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and More ❯

system architecture decisions Experience leading testing disciplines within agile projects Self-starter with initiative and enthusiasm Minimum Criteria: 5+ years of experience in ETL/MI data testing Advanced SQL skills for reconciling source/target data and validating business rules Proficiency with querying tools such as SQL Developer and PostgreSQL/DBeaver Experience with ETL tools (eg, ODI ) and More ❯

business. You will also be able to demonstrate the below essential skills and experience: Experience in the development, programming and integration across one or more development languages such as SQL, .NET, HTML, Java, XML, C++, C#, PHM, Python, etc. Broad Experience of a range of technology solutions including ERP, CRM, ESB, Azure, Cloud, AI, IoT, RPA, etc. Experience of one … structure development approach such as Waterfall, Agile, Scrum, Kanban using AzureDevOps, JIRA or equivalent. Some experience or awareness in one of the following technology platforms: Dynamics 365 CE, PowerPlatform, SQL Server (including SSIS or SSRS), Azure. Willingness to learn new technologies, platforms, and programming languages while in role. Problem solving/debugging/issue resolution. Good oral and written communications. More ❯

relationships at senior levels with current and prospective clients. Our Tech Stack Cloud: Azure, sometimes GCP & AWS Data Platform: Databricks, Snowflake, BigQuery Data Engineering tools: Pyspark, Polars, DuckDB, Malloy, SQL Infrastructure-as-code: Terraform, Pulumi Data Management and Orchestration: Airflow, dbt Databases and Data Warehouses: SQL Server, PostgreSQL, MongoDB, Qdrant, Pinecone GenAI: OpenAI APIs, HuggingFace, LangChain, Talk-to-data Monitoring … oriented role. Passion for data with extensive knowledge and experience in Machine Learning techniques. Expertise in key technologies related to Data Management. Proficiency in Python is required; knowledge of SQL and Spark is a plus. Experience with Cloud platforms, specifically Azure and Databricks. In-depth knowledge and experience in Data Analytics Architecture. Understanding of Data Governance processes and platforms. Experience More ❯

Good experience with implementing automated testing Good experience with Infrastructure as Code with Terraform Strong understanding of Agile delivery methodologies Strong understanding of database systems and data warehousing, such SQL server and Snowflake Good knowledge of Angular and C# Good knowledge of SQL Degree educated in mathematics or scientific/engineering discipline Nice to have skills Craftsman-like approach to More ❯

SOLID principles, and modern design patterns - Development experience in Microsoft .Net Framework and experience in Front-end JavaScript frameworks like Angular & React - Traditional Relational Database technologies like Oracle, MS SQL Server and - No SQL Databases like MongoDB or DynamoDB - SOA & Microservices architecture implementation using REST APIs, queue-based messaging patterns, exposure to Mulesoft/Kong is a plus - On-premise More ❯

Science, Engineering, or a related field. - 3+ years of experience in data engineering or related roles. - Strong programming skills in languages such as Python, Java, or Scala. - Expertise in SQL and experience with both relational and NoSQL databases. - Familiarity with cloud platforms (e.g., AWS) and their services. - Knowledge of data modeling, data warehousing, and ETL design patterns. - Experience with version More ❯

Microsoft Power Platform, Power Automate, and Copilot Studio. Solid understanding of automation technologies and their practical implementation at scale. Strong command of data visualisation tools (e.g. Power BI) and SQL-based analysis. Experience working in Agile delivery environments, balancing speed with quality. The following Microsoft certifications would be a plus: Power Platform Functional Consultant Azure Enterprise Data Analyst Power BI More ❯

Job Title: Senior Java Developer Role Summary: We are looking for a highly skilled Senior Java Developer to design, develop, and maintain enterprise-grade applications. The role involves working closely with architects, business analysts, and cross-functional teams to deliver More ❯

Job Title: Senior Java Developer Role Summary: We are looking for a highly skilled Senior Java Developer to design, develop, and maintain enterprise-grade applications. The role involves working closely with architects, business analysts, and cross-functional teams to deliver More ❯

leadership experience in a technical, customer-facing role in the technology industry - Experience in working with data lakes, modern data architectures, Lambda type architectures - Proficiency in writing and optimizing SQL - Knowledge of AWS services including S3, Redshift, EMR, Kinesis and RDS. - Experience with Open Source Data Technologies (Hadoop, Hive, Hbase, Pig, Spark, etc.) - Ability to write code in Python, Ruby … modern programming language (Python, Ruby, Java, etc) - Experience building data products incrementally and integrating and managing datasets from multiple sources - Query performance tuning skills using Unix profiling tools and SQL - Experience leading large-scale data warehousing and analytics projects, including using AWS technologies - Redshift, S3, EC2, Data-pipeline and other big data technologies - Linux/UNIX including to process large More ❯

Contribute to process improvements in data management and reporting workflows. Required Skills & Experience: 3 6+ years of experience in data management, data analysis, or related roles. Strong knowledge of SQL, Excel, and relational databases (Oracle, SQL Server, PostgreSQL, MySQL). Experience with data visualization tools (Tableau, Power BI, Qlik). Familiarity with ETL tools and processes. Understanding of data governance More ❯

Contribute to process improvements in data management and reporting workflows. Required Skills & Experience: 3–6+ years of experience in data management, data analysis, or related roles. Strong knowledge of SQL, Excel, and relational databases (Oracle, SQL Server, PostgreSQL, MySQL). Experience with data visualization tools (Tableau, Power BI, Qlik). Familiarity with ETL tools and processes. Understanding of data governance More ❯

enhanced Power BI alternatives Build custom Power BI reports and dashboards from stakeholder requirements Convert existing SSRS reports into modern, interactive Power BI solutions Establish secure data connections across SQL Server, Excel, and cloud-based sources Configure row-level security protocols and automated refresh schedules Partner with end-users globally to capture reporting needs and deliver tailored solutions Drive continuous … DAX mastery - advanced skills in creating complex calculations and measures Data architecture - proven experience in data modeling and ETL process design Database skills - thorough understanding of relational databases and SQL proficiency Integration capabilities - connecting diverse data sources to Power BI platforms Stakeholder engagement - strong communication skills for requirements gathering and solution delivery Bonus Points For: Legal industry software knowledge, particularly More ❯

manage Power BI environments (workspaces, permissions, deployment pipelines). Solid understanding of data modelling principles and experience with tabular models (Power BI/Azure Analysis Services). Proficiency in SQL for querying and transforming data, including creating reports in Power BI Reporting Services. Excellent communication skills, able to work with both technical and non-technical stakeholders. In addition knowledge of More ❯

manage Power BI environments (workspaces, permissions, deployment pipelines). Solid understanding of data modelling principles and experience with tabular models (Power BI/Azure Analysis Services). Proficiency in SQL for querying and transforming data, including creating reports in Power BI Reporting Services. Excellent communication skills, able to work with both technical and non-technical stakeholders. In addition knowledge of More ❯

ELT pipelines across diverse structured and unstructured data sources Data lakehouse and data warehouse architecture design Power BI for enterprise-grade reporting and visualisation Strong knowledge of data modelling, SQL, and governance best practices Consulting & Project Delivery Experience 8+ years in professional services or consulting, ideally with Microsoft data technologies Strong background in client-facing delivery and stakeholder engagement Excellent More ❯

through internal training programmes or approved external course. What experience do I need? Bachelor's degree in Business Analytics, Data Science, Statistics, or a related field. Database development skills (SQL, NoSQL, Progress, MariaDB, MongoDB). Knowledge of relational database concepts. Excellent communication skills, at all levels and experience with technical and non-technical audiences. Experience in understanding, gathering, and analysing More ❯

Proven experience in the energy trading sector, ideally with exposure to Natural Gas and Power markets, balancing mechanisms, and regulatory frameworks (e.g., REMIT, EMIR). Expert in Python and SQL; strong experience with data engineering libraries (e.g., Pandas, PySpark, Dask). Deep knowledge of ETL/ELT frameworks and orchestration tools (e.g., Airflow, Azure Data Factory, Dagster). Proficient in More ❯

driven Power Apps Expertise in creating and optimizing automated business processes with Power Automate (including RPA and cloud flows) Skills in data modelling and integration using Data verse, SharePoint, SQL, and Azure services Knowledge of custom connectors, APIs, and integrating Power Platform with external systems Proficiency in DAX, Power Query, and delivering advanced business intelligence dashboards in Power BI Experience More ❯

data strategies with business goals. Drive continuous improvement in data infrastructure and analytics capabilities. Required Skills & Experience: Proven experience in Azure , including Azure Fabric , Data Factory , Synapse , and Azure SQL . Strong knowledge of the Microsoft stack (Power BI, SQL Server, .NET, etc.). Demonstrated leadership experience with the ability to inspire and guide teams. Excellent communication and stakeholder management More ❯