1,076 to 1,100 of 6,344 SQL Jobs in England

is essential Proficient in use of Microsoft Office product suite, particularly Excel i.e. Pivot Tables and VLOOKUP's Working knowledge of one or more of the following is advantageous: SQL, R, Python, Power BI Clear, logical analytical approach to problem-solving Ability to investigate data, find trends, forecast performance and provide insightful recommendations If you are interested in this fantastic More ❯

Learning model development,testing, and implementation. Throughout this process, you will also gatherand communicate meaningful data insights to your project team. Otherresponsibilities include: Datawrangling, extraction, and pre-processing in SQL or Python Conductingexploratory data analysis and communicating insights through cleardescriptions and visualizations in Tableau or PowerBI Developing,testing, and implementing Machine Learning models Conductingresearch on recent developments in Machine Learning … Machine Learning models and applications Knowledgeof cloud-based Machine Learning engines (AWS, Azure, Google, etc.) Experiencewith large scale data processing tools (Spark, Hadoop, etc.) Abilityto query and program databases (SQL, No SQL) Experiencewith distributed ML frameworks (TensorFlow, PyTorch, etc.) Familiaritywith collaborative software tools (Git, Jira, etc.) Experiencewith user interface libraries/applications (Shiny, Django, etc.) Experiencein developing ML or statistical More ❯

enhance data-driven decision-making across the organization. Responsibilities Design & implement robust data pipelines and ETL processes, ensuring high standards in data modeling, documentation, and testing. Develop and optimize SQL queries for data extraction, aggregation, and reporting. Collaborate with key business teams (Risk, Portfolio Research, Compliance) to build efficient and scalable reporting solutions. Support critical production processes, including daily T+1 … on-call coverage for critical services, particularly in Asian trading hours when required. Train & mentor other developers in data engineering best practices. Requirements Strong programming skills in Python and SQL, with experience in data modeling, ETL pipelines, and large datasets. 5+ years of experience working with P&L reporting, financial analytics, or similar data-driven workflows in a financial institution. More ❯

enhance data-driven decision-making across the organization. Responsibilities Design & implement robust data pipelines and ETL processes, ensuring high standards in data modeling, documentation, and testing. Develop and optimize SQL queries for data extraction, aggregation, and reporting. Collaborate with key business teams (Risk, Portfolio Research, Compliance) to build efficient and scalable reporting solutions. Support critical production processes, including daily T+1 … on-call coverage for critical services, particularly in Asian trading hours when required. Train & mentor other developers in data engineering best practices. Requirements Strong programming skills in Python and SQL, with experience in data modeling, ETL pipelines, and large datasets. 5+ years of experience working with P&L reporting, financial analytics, or similar data-driven workflows in a financial institution. More ❯

enhance data-driven decision-making across the organization. Responsibilities Design & implement robust data pipelines and ETL processes, ensuring high standards in data modeling, documentation, and testing. Develop and optimize SQL queries for data extraction, aggregation, and reporting. Collaborate with key business teams (Risk, Portfolio Research, Compliance) to build efficient and scalable reporting solutions. Support critical production processes, including daily T+1 … on-call coverage for critical services, particularly in Asian trading hours when required. Train & mentor other developers in data engineering best practices. Requirements Strong programming skills in Python and SQL, with experience in data modeling, ETL pipelines, and large datasets. 5+ years of experience working with P&L reporting, financial analytics, or similar data-driven workflows in a financial institution. More ❯

leading and mentoring teams Worked in a startup/scaleup background and someone that is adaptable Tech Stack Snapshot Languages: Python Cloud: AWS preferred, cloud-agnostic approach encouraged Data: SQL, Databricks, Iceberg, Kubernetes, large-scale data pipelines CI/CD & Ops: Open source tools, modern DevOps principles Why Join? Impactful Work – Help solve security problems that truly matter Ownership & Autonomy More ❯

centric mindset Experience of running 1-2-1 meetings and yearly reviews with team members Strong background in hands on software engineering role (e.g., .NET engineer) Experience with MS SQL, Snowflake or equivalent SQL database technology Experience in Continuous Delivery (CI/CD) best practices Experience in applying appropriate automation testing tools and frameworks (Unit, Component, Integration, Feature tests) Experience More ❯

fast work environment that strives for continuous results. This is a 6-month contract with very high potential for an extension! Requirements Strong experience working with Power BI Strong SQL Experience with NoSQL, MongoDB etc Strong experience/knowledge of Linux/Unix Experience working with Modern cloud technologies Experience with any other programming language - C#, Python, java etc! If More ❯

fast work environment that strives for continuous results. This is a 6-month contract with very high potential for an extension! Requirements Strong experience working with Power BI Strong SQL Experience with NoSQL, MongoDB etc Strong experience/knowledge of Linux/Unix Experience working with Modern cloud technologies Experience with any other programming language - C#, Python, java etc! If More ❯

flows and enable real-time data processing. -Data Quality Assurance: Monitor data quality and implement measures to ensure data accuracy and completeness. -Database Administration: Manage and maintain databases (e.g., SQL, NoSQL) to ensure optimal performance and security. -Cloud Infrastructure: Deploy and manage data infrastructure on cloud platforms - Primarily AWS -Collaboration: Work closely with data analysts, data scientists, and other stakeholders … to understand their data needs and deliver high-quality data solutions. Key Skills -Strong proficiency in SQL, Python, and Spark. Experience with metadata-driven ETL/ELT. -Experience with AWS Glue, Databrew, S3, AWS Lambda, PostgreSQL, Quicksight -Version Control (Gitlab) and CI/CD -Familiar with security and networking principles, especially in an AWS deployment. -Understanding and experience handling both More ❯

solutions Train and deploy state-of-the-art machine learning and reinforcement learning models Build AI systems using Large Language Models Build processes for extracting, cleaning and transforming data (SQL/Python) Ad-hoc data mining for insights using Python + Jupyter notebooks Present insights and predictions in live dashboards using Tableau/PowerBI Lead the presentation of findings to … like Git to adhere to established data science and AI best practices Experience of using different analysis techniques to draw insight from data, using tools such as Python and SQL Excellent Python skills, including relevant libraries for data analysis and machine learning (e.g., sklearn, Pandas, NumPy) and at least one deep learning framework Excellent communication skills through written reports and More ❯

solutions Train and deploy state-of-the-art machine learning and reinforcement learning models Build AI systems using Large Language Models Build processes for extracting, cleaning and transforming data (SQL/Python) Ad-hoc data mining for insights using Python + Jupyter notebooks Present insights and predictions in live dashboards using Tableau/PowerBI Lead the presentation of findings to … like Git to adhere to established data science and AI best practices Experience of using different analysis techniques to draw insight from data, using tools such as Python and SQL Excellent Python, including relevant libraries for data analysis and machine learning (e.g. sklearn, Pandas, NumPy) and at least one deep learning framework Excellent communication skills through written reports and presentations More ❯

Strong experience with AWS cloud services, particularly RDS. AWS certification (e.g., AWS Certified Database - Speciality). In-depth knowledge of PostgreSQL database internals, architecture, and best practices. Proficiency in SQL, PL/pgSQL, and query optimization. Experience with database performance tuning and monitoring tools. Knowledge of containerization and orchestration technologies (Docker, Kubernetes). Familiarity with database security practices and compliance More ❯

as a DBA, Database Engineer, or similar role. 3+ years of experience with RDS (PostgreSQL, MySQL), Redshift, and/or other RDBMS systems. Experience with UNIX shell scripting and SQL, and 2+ years in database migrations, object creation in SQL, NoSQL technologies. 1+ years experience with DynamoDB, NoSQL databases, or other relational databases like RDS, PostgreSQL. Proficiency in at least More ❯

successfully navigating cross-functional stakeholders, data challenges, and deployment hurdles. Ability to translate business questions into analytical frameworks and interpret results for non-technical stakeholders. Strong proficiency in Python, SQL, and relevant ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch). Experience with model operationalization using tools like Docker, Kubernetes, MLflow, or SageMaker. Marketing KPIs knowledge: CTR, conversion rate, MQL to … SQL, ROI, CLV, CAC, retention. Experience working with multi-channel marketing data: CRM (e.g., Salesforce), email, web analytics, social media, and paid media. Excellent problem-solving skills, business acumen, and the ability to translate complex models into actionable insights for non-technical stakeholders. Tools/Frameworks : Scikit-learn, XGBoost, LightGBM, StatsModels PyCaret, Prophet, or custom implementations for time series A …/B testing frameworks (e.g., DoWhy, causalml) Programming & Data Tools : Python: Strong foundation in Pandas, NumPy, matplotlib/seaborn, scikit-learn, TensorFlow, Pytorch etc. SQL: Advanced querying for large-scale datasets. Jupyter, Databricks, or notebooks-based workflows for experimentation. Data Access & Engineering Collaboration : Comfort working with cloud data warehouses (e.g., Snowflake, Databricks, Redshift, BigQuery) Familiarity with data pipelines and orchestration More ❯

successfully navigating cross-functional stakeholders, data challenges, and deployment hurdles. Ability to translate business questions into analytical frameworks and interpret results for non-technical stakeholders. Strong proficiency in Python, SQL, and relevant ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch). Experience with model operationalization using tools like Docker, Kubernetes, MLflow, or SageMaker. Marketing KPIs knowledge: CTR, conversion rate, MQL to … SQL, ROI, CLV, CAC, retention. Experience working with multi-channel marketing data: CRM (e.g., Salesforce), email, web analytics, social media, and paid media. Excellent problem-solving skills, business acumen, and the ability to translate complex models into actionable insights for non-technical stakeholders. Tools/Frameworks : Scikit-learn, XGBoost, LightGBM, StatsModels PyCaret, Prophet, or custom implementations for time series A …/B testing frameworks (e.g., DoWhy, causalml) Programming & Data Tools : Python: Strong foundation in Pandas, NumPy, matplotlib/seaborn, scikit-learn, TensorFlow, Pytorch etc. SQL: Advanced querying for large-scale datasets. Jupyter, Databricks, or notebooks-based workflows for experimentation. Data Access & Engineering Collaboration : Comfort working with cloud data warehouses (e.g., Snowflake, Databricks, Redshift, BigQuery) Familiarity with data pipelines and orchestration More ❯

Expertise in software architecture, design patterns, and secure coding best practises. Hands-on experience with cloud platforms (AWS, Azure, or Google Cloud) and CI/CD pipelines. Proficiency in SQL/NoSQL databases and version control systems like Git. GCS is acting as an Employment Agency in relation to this vacancy. More ❯

Positive Energy, Knowledge Explorer, and Own It Job Qualifications: Skilled in Java, C# or equivalent object-oriented programming language Strong algorithmic and object-oriented design skills Extensive experience with SQL and Relational Databases such as SQL Server Expertise in testing scalable systems using tools/frameworks such as JUnit/NUnit, Jasmine/Selenium, and JMeter Strong evaluation skills of More ❯

.NET, .NET Core/ASP.NET MVC, C# and Azure SQL. Our client can provide training into: .NET 9, Blazor, EF Core, Azure, JavaScript, HTML5, CSS3, Agile, TDD, BDD, Azure SQL and MongoDB. You will be working alongside an MVP and well respect author on Agile and .NET/C# development. This is a truly fabulous opportunity to join a spectacular More ❯

.NET, .NET Core/ASP.NET MVC, C# and Azure SQL. Our client can provide training into: .NET 9, Blazor, EF Core, Azure, JavaScript, HTML5, CSS3, Agile, TDD, BDD, Azure SQL and MongoDB. You will be working alongside an MVP and well respect author on Agile and .NET/C# development. This is a truly fabulous opportunity to join a spectacular More ❯

and Dynamics 365 CE. Development Fundamentals – Understand key software development practices, especially in the context of low-code platforms. Coding Skills – Some experience with languages such as JavaScript, HTML, SQL, or C#. Agile Practices – Exposure to agile workflows and working within structured project environments. Workflow & Automation – Experience in creating or supporting automated business processes. Debugging & Problem Solving – Basic skills in More ❯

using Docker, orchestrate with Kubernetes, and ensure production-grade deployment. Collaborate with platform teams to ensure scalability, resilience, and observability of data pipelines. Database Engineering: Write and optimize complex SQL queries on relational (Redshift, PostgreSQL) and NoSQL (MongoDB) databases. Work with ELK stack (Elasticsearch, Logstash, Kibana) for search, logging, and real-time analytics. Support Lakehouse architectures and hybrid data storage … Skills & Qualifications: 8+ years of experience in data engineering within a production environment. Advanced knowledge of Python and Linux shell scripting for data manipulation and automation. Strong expertise in SQL/NoSQL databases such as PostgreSQL and MongoDB. Experience building stream processing systems using Apache Kafka. Proficiency with Docker and Kubernetes in deploying containerized data workflows. Good understanding of cloud More ❯

using Docker , orchestrate with Kubernetes , and ensure production-grade deployment. Collaborate with platform teams to ensure scalability, resilience, and observability of data pipelines. Database Engineering: Write and optimize complex SQL queries on relational (Redshift, PostgreSQL) and NoSQL (MongoDB) databases. Work with ELK stack (Elasticsearch, Logstash, Kibana) for search, logging, and real-time analytics. Support Lakehouse architectures and hybrid data storage … Skills & Qualifications: 8+ years of experience in data engineering within a production environment. Advanced knowledge of Python and Linux shell scripting for data manipulation and automation. Strong expertise in SQL/NoSQL databases such as PostgreSQL and MongoDB. Experience building stream processing systems using Apache Kafka . Proficiency with Docker and Kubernetes in deploying containerized data workflows. Good understanding of More ❯

using Docker , orchestrate with Kubernetes , and ensure production-grade deployment. Collaborate with platform teams to ensure scalability, resilience, and observability of data pipelines. Database Engineering: Write and optimize complex SQL queries on relational (Redshift, PostgreSQL) and NoSQL (MongoDB) databases. Work with ELK stack (Elasticsearch, Logstash, Kibana) for search, logging, and real-time analytics. Support Lakehouse architectures and hybrid data storage … Skills & Qualifications: 8+ years of experience in data engineering within a production environment. Advanced knowledge of Python and Linux shell scripting for data manipulation and automation. Strong expertise in SQL/NoSQL databases such as PostgreSQL and MongoDB. Experience building stream processing systems using Apache Kafka . Proficiency with Docker and Kubernetes in deploying containerized data workflows. Good understanding of More ❯

about turning data into meaningful change. What Youll Do Design and deliver high-quality analyses on a range of operational and strategic issues. Use tools like Power BI, Excel, SQL, Python, or R to build dashboards, models, and insights that support decision-making. Engage with internal teams to identify their analytical needs and deliver relevant, digestible insights. Create impactful visualisations … or social care environments. Proven ability to conduct statistical modelling, indicator development and create powerful visualisations. Experience handling large, complex datasets (structured and unstructured) using tools like Power BI, SQL, R, Python or Tableau. Comfortable using qualitative analysis techniques, including thematic or discourse analysis. Strong communication and stakeholder engagement skillsable to explain insights clearly, tell the story and influence action. More ❯