51 to 75 of 4,058 SQL Jobs in England

including storage, data pipelines to ingest and transform data, and querying & reporting of analytical data. You've worked with technologies such as Python, Spark, SQL, Pyspark, PowerBI etc. You're a problem-solver, pragmatically exploring options and finding effective solutions. An understanding of how to design and build well-structured More ❯

drive performance. Your day involves: Prioritizing customer requests and delivering actionable insights through dashboards and data tools. Designing efficient data models and pipelines using SQL, Redshift, and AWS services. Building interactive dashboards with QuickSight or Tableau for real-time decision-making. Automating workflows and optimizing BI processes using Python, R More ❯

macros, charts and pivot tables). Knowledge of data visualization tools such as Quick Sight, Tableau, Power BI or other BI packages. Fluency in SQL and ETL. PREFERRED QUALIFICATIONS Knowledge of data modeling and data pipeline design. Masters degree in Business, Engineering, Statistics, Computer Science, Data Science, Mathematics or related More ❯

drive performance. Your day involves: Prioritizing customer requests and delivering actionable insights through dashboards and data tools. Designing efficient data models and pipelines using SQL, Redshift, and AWS services. Building interactive dashboards with QuickSight or Tableau for real-time decision-making. Automating workflows and optimizing BI processes using Python, R More ❯

for business strategy and product development Develop key performance metrics and create business review presentations using visualization tools Perform in-depth analysis using advanced SQL and Python programming Design and maintain data infrastructure, including ETL pipelines and cloud-based solutions Develop comprehensive documentation and training resources for self-service analytics More ❯

similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling - Experience developing and presenting recommendations of new More ❯

influencing stakeholders - Experience on defining requirements, creating business requirement document, understanding business process and using data and metrics to draw business insights - Proficiency in SQL, ETL management, Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualisation tools such as Tableau experience PREFERRED QUALIFICATIONS - MBA or Master More ❯

Familiarity with networking protocols, firewalls, VPNs, and cybersecurity practices is a strong plus, especially in defence-related projects. • ??Database Knowledge: Skills in databases like SQL, NoSQL, or data analytics tool Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and More ❯

systems. Contribute to a culture of results-driven collaboration, support and respect. What You'll Bring to the Role Approx. 8 years' experience using SQL or Python for data analysis, with about 3 years' experience in P&C insurance. A degree at BSc or MSc level in a Numerical field More ❯

Databricks and its ecosystem. Strong programming skills in Python, R, or Scala. Experience with big data technologies such as Apache Spark, Databricks. Knowledge of SQL and experience with relational databases. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud). Strong analytical and problem-solving skills. Excellent communication and teamwork More ❯

skills required: Expertise in Python, Java, Scala, or other programming languages used to build data pipelines, implement data transformations, and automate data workflows. Strong SQL experience. Strong knowledge of data visualisation tools knowledge such as Power BI, Tableau, QlikView etc. Familiarity with technical data structures, data pipelines and data science More ❯

. Hands-on experience with modern data warehousing and transformation tool, Snowflake. Strong knowledge of data modelling, warehousing, and real-time analytics. Proficiency in SQL, Python, Java, or similar programming languages. Familiarity with big data technologies (e.g., Spark, Hadoop) and BI tools (e.g., Power BI, Tableau). Excellent problem-solving More ❯

experience in leading and managing a team of data engineers. Proficiency in programming languages such as PySpark, Python (with Pandas if no PySpark), T-SQL, and SparkSQL. Strong understanding of data modeling, ETL processes, and data warehousing concepts. Knowledge of CI/CD pipelines and version control (e.g., Git). More ❯

Science, Information Technology, or related field. Proven experience in developing solutions with Power BI, Power Apps, and Power Automate. Strong understanding of data modelling, SQL, and data warehousing principles. Familiarity with Microsoft 365 and Azure services. Certifications in Microsoft Power Platform or related areas. Experience with AI Builder and other More ❯

you'll need to succeed Great experience working in Financial Services and in Asset Management or private equity. Fantastic experience with Microsoft Azure Cloud, SQL as well as with Microsoft Data Factory and Logic App/Azure Functions to support/development. Expertise with Power BI and DAX (for intelligence More ❯

science, engineering, mathematics, physics, operational research, econometrics, statistics, or another quantitative field. Experience in a data science and analytics role using tools such as SQL, Python, R, Power BI, and Azure. Experience with Databricks and working with large amounts of data. Ready to innovate in the field of data science More ❯

A degree in Computer Science, Business Analytics, or a related field . Proven experience managing large-scale data sets . Technical expertise in Azure, SQL, and Power BI . A strong understanding of data governance, GDPR, and data lifecycle management . Experience with ETL processes and data pipeline management. Excellent More ❯

Science, Information Technology, or related field. Proven experience in developing solutions with Power BI, Power Apps, and Power Automate. Strong understanding of data modelling, SQL, and data warehousing principles. Familiarity with Microsoft 365 and Azure services. Certifications in Microsoft Power Platform or related areas. Experience with AI Builder and other More ❯

solving skills with an eye for detail. Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams. Experience with SQL and database testing. Proactive mindset with a passion for continuous improvement in testing processes. Desirable Qualifications Experience working in cloud-based testing environments (AWS, Azure More ❯

s degree in a quantitative field : Preferably in Statistics, Mathematics, Economics, Computer Science, or a related discipline. Experience with data analysis tools : Proficiency in SQL, Python, or R for data analysis, manipulation, and reporting. Data visualisation skills : Experience with tools like Tableau, Power BI, or similar to present complex data More ❯

manner. Strong computer skills in MS Office suite (skills in programming and machine learning are highly beneficial). Demonstrable coding skills in e.g. Python, SQL, R. Experience of Geospatial mapping software e.g. ArcGIS/Mapping Tools. Data visualisation e.g. Tableau or PowerBI. How we support our colleagues In addition to More ❯

environment. Exceptional analytical and problem-solving skills. Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams. Experience with SQL and database testing. Proactive attitude towards quality assurance and a passion for continuous improvement. Desirable Qualifications: Experience with cloud-based testing environments (AWS, Azure). More ❯

field. Proven experience working with large datasets, preferably within the energy, environmental, or sustainability sectors. Strong proficiency in data analysis tools such as Excel, SQL, Python, R, or similar. Experience with data visualization tools like Power BI, Tableau, or similar platforms. Knowledge of energy systems, environmental policies, and sustainability practices More ❯

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 More ❯

and pivot tables) experience - Bachelor's degree or equivalent - Experience defining requirements and using data and metrics to draw business insights - Experience creating complex SQL queries joining multiple datasets, ETL DW concepts - Experience in Excel (macros, index, conditional list, arrays, pivots, lookups) - Experience scripting for automation (e.g., Python, Perl, Ruby More ❯