1 to 25 of 443 SQL Jobs in the City of London

in an Agile environment Programming - expertise in Python, Java, Scala, or other programming languages used to build data pipelines, implement data transformations, and automate data workflows Has expertise in SQL AI and Machine Learning knowledge as it applies to end-to-end data production Has a strong knowledge of data visualisation tools knowledge such as Power BI, Tableau, QlikView etc More ❯

in an Agile environment Programming - expertise in Python, Java, Scala, or other programming languages used to build data pipelines, implement data transformations, and automate data workflows Has expertise in SQL AI and Machine Learning knowledge as it applies to end-to-end data production Has a strong knowledge of data visualisation tools knowledge such as Power BI, Tableau, QlikView etc More ❯

models. Essential Skills & Experience 5+ years in data engineering, ideally at senior or lead level. Strong hands-on experience with Python , Azure Databricks , and Azure Synapse Analytics . Advanced SQL skills, including stored procedures and formal database design. Proven data modelling capabilities. Proficiency with Microsoft Azure data services and CI/CD pipelines. Experience integrating data across systems using APIs. More ❯

models. Essential Skills & Experience 5+ years in data engineering, ideally at senior or lead level. Strong hands-on experience with Python , Azure Databricks , and Azure Synapse Analytics . Advanced SQL skills, including stored procedures and formal database design. Proven data modelling capabilities. Proficiency with Microsoft Azure data services and CI/CD pipelines. Experience integrating data across systems using APIs. More ❯

Technology, or a related field or relevant experience • Proficiency in Dynamics 365 and Power Platform (CRM, Customer Services, Sales and Marketing) • Strong knowledge of C# .NET, JavaScript, HTML, and SQL • Familiarity with Azure Services and working with and within DevOps practices • Understanding and managing enterprise size Dataverse instances • Expertise in tools and usage of XRM Toolbox • Excellent problem-solving and More ❯

Technology, or a related field or relevant experience • Proficiency in Dynamics 365 and Power Platform (CRM, Customer Services, Sales and Marketing) • Strong knowledge of C# .NET, JavaScript, HTML, and SQL • Familiarity with Azure Services and working with and within DevOps practices • Understanding and managing enterprise size Dataverse instances • Expertise in tools and usage of XRM Toolbox • Excellent problem-solving and More ❯

experience deploying and managing production machine learning models using Azure Machine Learning. * Strong grasp of MLOps principles, including CI/CD, model monitoring, and retraining pipelines. * Experience with Python, SQL, and Azure data services such as Data Factory, Blob Storage, or Data Lake. * Proficiency with DevOps tools (e.g., Git, Azure DevOps) and version control workflows. * Familiarity with reporting and visualisation More ❯

data analytics, data science, and data modeling. Proven experience in building and maintaining enterprise-level data models. Strong working knowledge of data lineage and data dictionary management. Proficiency in SQL, Python, R, or other data science tools and frameworks. Experience leading data or analytics teams and mentoring junior staff. Strong communication and stakeholder management skills. Working experience of below skill More ❯

data analytics, data science, and data modeling. Proven experience in building and maintaining enterprise-level data models. Strong working knowledge of data lineage and data dictionary management. Proficiency in SQL, Python, R, or other data science tools and frameworks. Experience leading data or analytics teams and mentoring junior staff. Strong communication and stakeholder management skills. Working experience of below skill More ❯

with evolving trends in data engineering and BI. What They’re Looking For Technical Experience 7+ years’ experience across data engineering, analytics, or data science. 5+ years of strong SQL/data modelling experience. Expertise building ETL/ELT pipelines across cloud-based platforms. Advanced Power BI skills and a deep understanding of scalable architecture. Familiarity with CRM/ERP More ❯

with evolving trends in data engineering and BI. What They’re Looking For Technical Experience 7+ years’ experience across data engineering, analytics, or data science. 5+ years of strong SQL/data modelling experience. Expertise building ETL/ELT pipelines across cloud-based platforms. Advanced Power BI skills and a deep understanding of scalable architecture. Familiarity with CRM/ERP More ❯

years' experience in data modelling. Advanced level in application-based data modelling and ETL. Strong background in data analysis, cleansing, enrichment, metadata management, and data innovation. Proficiency in SQL and MySQL. Experience with business intelligence tools: Power BI, Sisense, Quicksight. Hands-on experience with ETL tools, Sagemaker or Unified Studio (one of required). Ability to validate, test, and build More ❯

Commercial/Procurement Analytics. Experience in SAP (S/4 Hana). Experience with Spark, Databricks, or similar data processing tools. Stron g technical proficiency in data modelin g , SQL, NoSQL databases, and data warehousing . Hands-on experience with data pipeline development, ETL processes, and big data technolo g ies (e. g ., Hadoop, Spark, Kafka). Proficiency in More ❯

excellent communication skills with a consultative approach and a strong interest in influencing stakeholders. Tool experience required: Strong data visualisation using Power BI and coding ability using either normalisation, SQL, or Python). Desirable: Experience working in a Data warehouse, or lake environments e.g. Snowflake, Redshift, DataBricks, and ELT and data pipelines e.g. dbt Familiar with predictive analytics techniques Please More ❯

excellent communication skills with a consultative approach and a strong interest in influencing stakeholders. Tool experience required: Strong data visualisation using Power BI and coding ability using either normalisation, SQL, or Python). Desirable: Experience working in a Data warehouse, or lake environments e.g. Snowflake, Redshift, DataBricks, and ELT and data pipelines e.g. dbt Familiar with predictive analytics techniques Please More ❯

cloud storage platforms. Experience designing data schemas and analytical databases. Use of AI tools to streamline development and debugging. Strong grasp of algorithmic thinking and performance optimisation. Proficiency with SQL and NoSQL databases such as PostgreSQL and Cassandra. Experience with systems like Kafka or RabbitMQ. Ability to build and manage ETL pipelines using tools like Airflow. This role is an More ❯

Proficiency in cloud platforms (Azure, AWS, or GCP) and data processing services. * Advanced skills in Power BI, including DAX, Power Query, and data modelling. * Strong programming abilities in Python, SQL, and/or Scala. * Expertise in ETL/ELT processes, data warehousing, and data mesh architectures. * Familiarity with AI/ML concepts and their application in data analytics. * Experience with More ❯

intuitive, self-serve data models Own data products end-to-end, from design to continuous improvement Promote innovation and best practices in data engineering About You: Strong experience with SQL, Python, and BI tools (e.g., Power BI) Solid understanding of dimensional modelling and data architecture Experience working in governed, decentralised data environments Excellent communication and stakeholder engagement skills Analytical mindset More ❯

A advisory. Proficient in requirements gathering, stakeholder management, and Agile delivery frameworks. Skilled in using JIRA, Confluence, and process modeling tools. Excellent communication and problem-solving skills. Familiarity with SQL and data analysis is preferred. Financial certifications (e.g., CFA, FRM) and experience with data visualization tools like Power BI or Tableau are advantageous. Carbon60, Lorien & SRG - The Impellam Group STEM More ❯

.NET Developer, C# - Financial Consultancy - London (Tech stack: .NET Developer, .NET 9, ASP.NET, C#, React, Angular 19, Microservices, Azure, WPF, MVVM, Prism, Agile, Azure SQL, Programmer, Full Stack Engineer, Architect, .NET Developer) Established in the early 1970s, our client delivers cutting edge I.T solutions to banks. With over 70,000 employees in over 50 countries and strong partnerships with some More ❯

SC clearance is a bonus – otherwise, you must be eligible Nice to have (or we’ll help you get there): Cloud platforms (AWS, Azure) Containerisation (Docker, Kubernetes) Database systems (SQL, NoSQL, Graph) Configuration & deployment tools (Ansible) Exposure to Machine Learning frameworks (TensorFlow, AWS/Azure ML) The Package Up to £72,000 base salary Bonus scheme Hybrid working – London or More ❯

based in plush City office on a fulltime basis, Monday to Friday. About you: You have expertise with C# .Net, ASP.Net development You have a strong knowledge of databases (SQL or Oracle) You're comfortable with JavaScript/React You have a thorough knowledge of Computer Science fundamentals such as OOP, Design Patterns, Data Structures, Algorithms You are collaborative with More ❯

SC clearance is a bonus – otherwise, you must be eligible Nice to have (or we’ll help you get there): Cloud platforms (AWS, Azure) Containerisation (Docker, Kubernetes) Database systems (SQL, NoSQL, Graph) Configuration & deployment tools (Ansible) Exposure to Machine Learning frameworks (TensorFlow, AWS/Azure ML) The Package Up to £72,000 base salary Bonus scheme Hybrid working – London or More ❯

with BI tools (e.g., Power BI, Tableau) is an advantage. Excellent written and verbal communication skills. Ability to work collaboratively in a team environment. Preferred Qualifications Basic understanding of SQL or data querying. Previous internship or project experience involving data analysis. Interest in startups and small business operations. Benefits & Perks Paid internship with potential for full-time employment. Mentorship from More ❯

with BI tools (e.g., Power BI, Tableau) is an advantage. Excellent written and verbal communication skills. Ability to work collaboratively in a team environment. Preferred Qualifications Basic understanding of SQL or data querying. Previous internship or project experience involving data analysis. Interest in startups and small business operations. Benefits & Perks Paid internship with potential for full-time employment. Mentorship from More ❯