26 to 50 of 4,058 SQL Jobs in England

with Python, preferably PySpark. Excellent communication and stakeholder management abilities. Strong expertise in Azure (AWS considered for a strong candidate): ADLS, Databricks, Stream Analytics, SQL DW, Synapse, Databricks, Azure Functions, Serverless Architecture, ARM Templates, DevOps. Hands-on experience with ETL/ELT processes and data warehousing. Solid understanding of data More ❯

awarded the Data Analyst including Power BI Level 4 apprenticeship. Tools and technologies learned: Learners will learn to use R programming language, Python, Microsoft SQL Azure and Excel. Learning Provider QA LIMITED Skills Required Communication skills, Attention to detail, Organisation skills, Team working, Non-judgemental Apply Now More ❯

Develop design and architecture exposure and ability to ensure quality across various technology components that are developed by geographically diversified software engineers. Experience writing SQL queries and understanding of data models. Experience in designing and implementing REST APIs & microservices-based solutions. Experience writing unit/integration tests. Proficient with software More ❯

Essential skills we would love you to have: Strong analytical experience in the use of MS Office Applications (Excel and Powerpoint), Programming Languages (Python, SQL, R) and Visualisation Tooks (such as Tableau and Power BI) Excellent communication skills with the ability to interpret complex data and translate this to business More ❯

5+ years of experience in data management, preferably within financial services and FX. Strong command of data governance and quality management principles. Proficiency in SQL and visualization tools (e.g., Tableau, Power BI). Familiarity with Python or R and time-series databases. Strong problem-solving, communication, and leadership skills. Preferred More ❯

Looking For: Experience in a data-focused role, with a strong passion for working with data and delivering value to stakeholders. Strong proficiency in SQL, Python, and Apache Spark , with hands-on experience using these technologies in a production environment. Experience with Databricks and Microsoft Azure is highly desirable. Financial More ❯

Qualifications Bachelor's degree in computer science, engineering or related field. Minimum of 3 years of experience in data engineering roles. Strong proficiency in SQL, ETL processes and database management systems (e.g., MySQL, PostgreSQL, MongoDB). Hands-on experience with AWS services for data processing, storage and analysis (e.g., S3 More ❯

machine learning, statistical methods, and predictive modelling. Expertise in programming with Python or R, including optimization, modularization, and best practices. Hands-on experience with SQL and working with relational databases, data lakes, and cloud platforms. Exposure to Azure Data Services, Fabric, Synapse, or related cloud technologies is highly desirable. Proven More ❯

effectively. Strong understanding of data governance principles and best practices. Manage a team of product owners/data analysts and set objectives. Proficiency in SQL and experience with data visualization tools such as Tableau or Power BI. Familiarity with programming languages like Python or R for data analysis. Experience with More ❯

Systems, or other equivalent. Experienced in data analysis, BI, or a related area. Familiarity with BI tools (e.g. Tableau, Power BI, Looker) and basic SQL for data querying. Proficiency in Microsoft Excel for data manipulation and reporting. Solid ability to analyse and interpret data, with keen attention to detail. Basic More ❯

Bank of England. About the Role: You will be an experienced hands-on Software Developer with a strong track record in Python, C# and SQL development, with at least 5+ years in Trading Systems/Financial/Banking sector. You will be a passionate advocate of the Agile methodology, looking More ❯

best practices and emerging tools. YOU The ideal Data Analyst for Business Intelligence and Insights will have prior experience of: Strong technical skills in SQL, Excel, Power BI, DAX, and ideally Python or R. Experience with cloud data platforms such as Snowflake or Databricks. Deep understanding of databases , ETL frameworks More ❯

Azure) and containerization (Docker, Kubernetes). Strong understanding of CI/CD pipelines, DevOps practices, and software deployment strategies. Deep knowledge of database technologies (SQL and NoSQL) and performance optimization techniques. Experience in software testing, including test automation, performance testing, and security testing. Familiarity with Agile development methodologies and modern More ❯

big data technology, systems and tools such as AWS, Hadoop, Hive, and Snowflake Expertise with common Software Engineering languages such as Python, Scala, Java, SQL and a proven ability to learn new programming languages Experience with workflow orchestration tools such as Airflow Detailed problem-solving approach, coupled with a strong More ❯

of the organisation's history and growth plans involves business acquisition which brings challenges in data centralisation. What will you need to succeed? Strong SQL skills (with a few years of applied experience). Experience with at least one BI/visualisation tool (e.g. Looker/Power BI/Tableau More ❯

experience in Data QA or a similar role with a strong focus on quality assurance of data and machine learning models. Strong experience with SQL and programming languages like Python or R for data analysis and pipeline development. Deep understanding of data modelling, data access, and data storage techniques. Familiarity More ❯

of AI-driven strategies across BIC operations. Identify opportunities for AI integration to enhance BIC research processes. Use advanced analytics tools (e.g., Python, R, SQL, Tableau, Power BI) to analyse, visualize, and interpret data. Support efforts to continuously innovate and improve analytical processes using ML, ensuring the delivery of high More ❯

Spring Boot etc.) Experience in designing and implementing REST APIs & micro services-based solutions. Should have experience writing unit/integration tests Experience writing SQL queries and good understanding of data model, python knowledge is a plus. Working knowledge in AWS cloud (EC2, ECS, Load Balancer, Security Group, EMR, Lambda More ❯

ABOUT YOU Minimum of 4-5 years within a Finance/Data Analytics role Fully qualified CIMA/ACCA/ACA Highly proficient in SQL (preferably PostgreSQL) Strong Power BI experience Proven experience in data modeling and building analytical tools from scratch. A natural curiosity to learn and a 'can More ❯

basis within data analysis and science through an additional MSc would be an advantage. Data Tools: Previous experience with tools such as Excel, R, SQL or Python are essential for this role. If you have utilised visualisation programmes such as Tableau or Power BI in projects before, we are also More ❯

Developer Duration - 6 months with likely extension Rate - £400 p/d (inside IR35) Location - Remote/Canary Wharf Tech Stack C# WPF Winforms SQL Oracle Tasks Tasks range from understanding business requirements, designing application structures, business data analysis, programming WPF (Windows Presentation Foundation) applications in Visual C#.NET on both … Oracle and SQL Server database, testing with users, implementation through Development, Quality Assurance (QA), Production and Disaster Recovery environments. Supporting users and writing operation documents including User Helps (manuals) will also be required. As well as application development, this role will also include all aspects of system constructions and support … Excel and Access, MS VB and MS Excel Macros will also be required. Additional Tasks Defining Database objects required in systems to connect with SQL and Oracle Database Administrators in both London and New York. Providing script for database inquiry languages, i.e., T-SQL (SQL Server) and PL/SQL More ❯

years of data engineering experience, with a proven track record of designing, building, and maintaining scalable data pipelines and ETL processes. Proficiency in SQL and experience working with relational and non-relational databases (e.g. Snowflake, BigQuery, PostgreSQL, MySQL, MongoDB). Hands-on experience with big data technologies such as Apache More ❯

product, operations, and marketing decisions. Interfacing with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL (Redshift, Oracle) and ability to use a programming and/or scripting language to process data for modeling. Evolve organization-wide Self-Service platforms. Building More ❯

experience in a data engineering or data management role, with at least 7 years of experience specifically in an AWS environment. Strong proficiency in SQL and experience with designing and maintaining data warehouses and data lakes. In-depth knowledge of AWS services such as EMR, Glue, Kinesis, and Redshift. Hands More ❯

Extensive experience with data visualisation tools like Tableau or Power BI, with proven ability to present data clearly to non-technical audiences. Proficiency in SQL and programming languages such as Python or R for data manipulation and analysis, ideally with expertise in Natural Language Processing (NLP). Exceptional problem-solving More ❯