26 to 50 of 53 Azure SQL Data Warehouse Jobs in London

Data Manager/Engineer – London - £500 pd – Hybrid Working Duration: 6 months + JNC are working with a growing organisation in London that are looking to bring on a technically hands on Data Manager/Engineer on a contract basis. Initially the focus will be to … manage and support their data migration into a new ERP system. Then to oversee the ongoing development and maintenance of their data platforms which will focus on systems feeding into Azure Fabric and their cloud-hosted data warehouse. This is a hybrid … role which will require candidates to be able to travel to the office 3 times a month. Experience: In depth Data Engineering knowledge and experience. Extensive experience with unified data infrastructures Strong hands on skills with MS SQL Server (Admin + T-SQL More ❯

Data Manager/Engineer – London - £500 pd – Hybrid Working Duration: 6 months + JNC are working with a growing organisation in London that are looking to bring on a technically hands on Data Manager/Engineer on a contract basis. Initially the focus will be to … manage and support their data migration into a new ERP system. Then to oversee the ongoing development and maintenance of their data platforms which will focus on systems feeding into Azure Fabric and their cloud-hosted data warehouse. This is a hybrid … role which will require candidates to be able to travel to the office 3 times a month. Experience: In depth Data Engineering knowledge and experience. Extensive experience with unified data infrastructures Strong hands on skills with MS SQL Server (Admin + T-SQL More ❯

Data Manager/Engineer – London - £500 pd – Hybrid Working Duration: 6 months + JNC are working with a growing organisation in London that are looking to bring on a technically hands on Data Manager/Engineer on a contract basis. Initially the focus will be to … manage and support their data migration into a new ERP system. Then to oversee the ongoing development and maintenance of their data platforms which will focus on systems feeding into Azure Fabric and their cloud-hosted data warehouse. This is a hybrid … role which will require candidates to be able to travel to the office 3 times a month. Experience: In depth Data Engineering knowledge and experience. Extensive experience with unified data infrastructures Strong hands on skills with MS SQL Server (Admin + T-SQL More ❯

Data Manager/Engineer – London - £500 pd – Hybrid Working Duration: 6 months + JNC are working with a growing organisation in London that are looking to bring on a technically hands on Data Manager/Engineer on a contract basis. Initially the focus will be to … manage and support their data migration into a new ERP system. Then to oversee the ongoing development and maintenance of their data platforms which will focus on systems feeding into Azure Fabric and their cloud-hosted data warehouse. This is a hybrid … role which will require candidates to be able to travel to the office 3 times a month. Experience: In depth Data Engineering knowledge and experience. Extensive experience with unified data infrastructures Strong hands on skills with MS SQL Server (Admin + T-SQL More ❯

Data Manager/Engineer – London - £500 pd – Hybrid Working Duration: 6 months + JNC are working with a growing organisation in London that are looking to bring on a technically hands on Data Manager/Engineer on a contract basis. Initially the focus will be to … manage and support their data migration into a new ERP system. Then to oversee the ongoing development and maintenance of their data platforms which will focus on systems feeding into Azure Fabric and their cloud-hosted data warehouse. This is a hybrid … role which will require candidates to be able to travel to the office 3 times a month. Experience: In depth Data Engineering knowledge and experience. Extensive experience with unified data infrastructures Strong hands on skills with MS SQL Server (Admin + T-SQL More ❯

Our client, a global leader in the technology and consulting industry, is seeking a visionary Senior Data Engineering Consultant to drive their digital transformation. This is a pivotal role in shaping the future of the business through data-driven innovation. The Challenge: Architect and implement a … world-class data platform to support business growth and competitive advantage. Lead complex data initiatives, delivering measurable business impact. Build a high-performing data team capable of executing ambitious data strategies. The Opportunity: This is an exceptional opportunity to join a forward … thinking organisation at the forefront of data-driven innovation. You will be instrumental in shaping our data strategy and delivering transformative solutions that drive business growth. Expect to: Lead complex, high-impact data initiatives that deliver tangible results. Collaborate with industry luminaries to push More ❯

Social network you want to login/join with: I'm currently working with a SaaS product organisation that is expanding its data engineering team with a key senior hire, working directly with the CDO. Responsibilities Data Ownership: Drive the design, development, and evolution of data models across multiple domains and clients. Serve as an expert in the SaaS platform, ensuring consistency and best practices in all data-related aspects. Technical Leadership: Lead and mentor other data engineers, fostering technical excellence and effective use of data platforms. Establish … and promote best practices for data engineering within the organisation. Client Engagement: Collaborate with client delivery teams to optimise platform usage and drive successful outcomes. Support critical phases like discovery, scoping, and problem resolution. Training and Documentation: Develop comprehensive training programs and documentation to scale knowledge sharing within More ❯

effortlessly overcome technological boundaries, powered by a globally sourced, meticulously selected tech workforce and reshaping industries through innovation. Responsibilities Develop, maintain, and optimize data pipelines using Python and SQL. Design and implement scalable data solutions using cloud platforms (preferably AWS; Azure experience is also … acceptable). Work with data warehouses and data lakes (e.g., Databricks or Microsoft equivalents) to support analytics and reporting needs. Collaborate with DevOps teams to ensure seamless integration, continuous deployment (CICD), and infrastructure automation. Qualifications Minimum of 4 years’ experience as a Data Engineer … in a professional setting. Proven proficiency in Python and SQL for data engineering tasks. Hands-on experience with cloud platforms (AWS is preferred; Azure experience is also valued). Familiarity with data warehouse and data lake architectures. Understanding More ❯

consistent approach on managing roles and permissions in a compliant manner. Perform regular reviews and follow best practice. Perform the analysis of complex data sets to identify trends, patterns, and insights that can drive decision-making. This includes applying statistical techniques, data transformations, and predictive modelling … to extract valuable insights and present them in a clear and meaningful way. Design and deliver reports, dashboards, and visualizations that effectively communicate data-driven insights to stakeholders and drive operational HR processes. Selecting appropriate tools and technologies, creating user-friendly interfaces, and ensuring the information presented is … People Insights from BI solutions. Deliver regulatory HR reporting in relation to internal and external audits and local legislation requirements. Focus on capturing Data Quality issues and design monitoring mechanisms to shift to a proactive approach that enables stakeholders to improve system data through actionable analytics. More ❯

Job Description Senior Data Engineer Remote (Must be UK based) Excellent remuneration + bonus Note: This role requires experience in retail, e-commerce, travel & tourism, or betting & gaming sectors. I'm currently working with a SaaS product organization that is expanding its data engineering team with … a key senior hire, working directly with the CDO. Required Skills 5+ years experience in Data Engineering/Architecture (or similar). Extensive experience in data engineering, including designing and managing complex data models and solutions. Proven leadership and mentoring abilities within technical teams. … Strong communication skills, with the ability to engage effectively with clients and stakeholders at all levels. Hands-on expertise in modern data platforms, tools, and technologies, such as: Advanced data modelling - operational and analytical Python, SQL Databricks, Spark Orchestration frameworks such as Dataform, Airflow More ❯

on build quality which is achieved by adhering to best practise and also thorough unit testing. Requirements • Expert knowledge of Python, Snowflake • Strong SQL query writing skills and excellent understanding of SQL query performance optimization • Very Good knowledge of Agile and SDLC processes • Strong experience of … streaming architecture, preferably Apache Spark. • Knowledge of cloud concepts (Azure), data warehouse and services • Able to demonstrate very good analytical and problem-solving skills. • Sound written and verbal communication skills and ability to present ideas to others and to coach colleagues. Bonus skills Databricks … develop and fulfil your potential with meaningful careers. LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a commitment to excellence in delivering the services our customers expect from us. With extensive experience More ❯

ll work closely with our customers to understand the different components of their tech ecosystem and define the end‐to‐end architecture—from data models and AI services to security, governance, and deployment patterns—working side‐by‐side with Product, Engineering, Customer Success, Sales Engineering, and client solution … years in enterprise or solution‐architecture roles in HR‐tech; 5+ years leading large Enterprise software deployments. Strong experience with API-based integrations, data mapping, and middleware solutions. Proven architecture leadership for major global talent, skills, or learning‐platform transformations 5+ years of hands-on technical expertise with … event buses (Kafka/SNS/SQS), OAuth 2.0/OIDC/SAML, webhooks, and bulk or streaming ETL tools (MuleSoft, Boomi, SnapLogic, Azure Data Factory) and integrations with data warehouses or BI tools. Security architecture covering encryption, IAM, SSO, RBAC, data More ❯

Social network you want to login/join with: Project Manager (Data Migration), west london col-narrow-left Client: MRJ Recruitment Location: west london, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 1 Posted: 04.06.2025 Expiry Date: 19.07.2025 col-wide Job … Description: Project Manager (Contract/Interim) Project: Data Migration (Single source of truth) Location: Remote Duration: 6months Start Date: ASAP We’re looking for an experienced Project Manager to lead a high-impact Databricks migration project, consolidating data from multiple platforms into a single source of … need someone who can hit the ground running. What you’ll be doing: Leading the end-to-end migration of a number of data platforms to our new Databricks platform, working with multiple data teams and stakeholders. Managing timelines, risks, and dependencies across different data More ❯

Social network you want to login/join with: Project Manager (Data Migration), south west london col-narrow-left Client: MRJ Recruitment Location: south west london, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 1 Posted: 04.06.2025 Expiry Date: 19.07.2025 col … wide Job Description: Project Manager (Contract/Interim) Project: Data Migration (Single source of truth) Location: Remote Duration: 6months Start Date: ASAP We’re looking for an experienced Project Manager to lead a high-impact Databricks migration project, consolidating data from multiple platforms into a single … need someone who can hit the ground running. What you’ll be doing: Leading the end-to-end migration of a number of data platforms to our new Databricks platform, working with multiple data teams and stakeholders. Managing timelines, risks, and dependencies across different data More ❯

C# .Net, .NetCore. Javascript or Typescript, SCSS/CSS, HTML. Experiencewith either React.js. or Vue.js (but you'll be using Vue.js here!). SQL Server and an awareness of other data structures. RESTful web services. Solid background in OOP, SOLID Principles and design patterns. Agile Development … TDD, BDD. Exposure to Azure as a minimum knowledge level in Cloud tech. Jira, Bitbucket, Git. An interest in or experience with assistive technology. Nice to have Infrastructure as code experience. MongoDB. What you'll be doing Joining a well-established, collaborative Technical team of roughly 22, you … delivery and demonstrate practical experience of scalability, accessibility, IT Security and supporting production systems. You'll get to delve into solving problems within Azure, make changes and improvements in their data warehouse across SQL Server and MongoDB, get involved with improving their More ❯

Company: My client are a fast-growing fintech transforming how people manage and move money. As a Data Engineer, you’ll play a pivotal role in building and scaling the data infrastructure that powers everything from real-time fraud detection to personalized financial insights. Key Responsibilities … Design, build, and maintain scalable data pipelines (batch & streaming) Work with Data Scientists and Analysts to enable fast, reliable access to data Optimize our data architecture for performance, reliability, and cost Collaborate with engineers to integrate data best practices across … teams Champion data quality, governance, and documentation Key Requirements: Strong experience with Python, SQL, and modern ETL tools (e.g., Airflow, dbt) Solid grasp of cloud platforms (AWS/GCP/Azure) and data warehouses (e.g., BigQuery, Snowflake) Familiarity with streaming technologies (Kafka More ❯

Company: My client are a fast-growing fintech transforming how people manage and move money. As a Data Engineer, you’ll play a pivotal role in building and scaling the data infrastructure that powers everything from real-time fraud detection to personalized financial insights. Key Responsibilities … Design, build, and maintain scalable data pipelines (batch & streaming) Work with Data Scientists and Analysts to enable fast, reliable access to data Optimize our data architecture for performance, reliability, and cost Collaborate with engineers to integrate data best practices across … teams Champion data quality, governance, and documentation Key Requirements: Strong experience with Python, SQL, and modern ETL tools (e.g., Airflow, dbt) Solid grasp of cloud platforms (AWS/GCP/Azure) and data warehouses (e.g., BigQuery, Snowflake) Familiarity with streaming technologies (Kafka More ❯

Company: My client are a fast-growing fintech transforming how people manage and move money. As a Data Engineer, you’ll play a pivotal role in building and scaling the data infrastructure that powers everything from real-time fraud detection to personalized financial insights. Key Responsibilities … Design, build, and maintain scalable data pipelines (batch & streaming) Work with Data Scientists and Analysts to enable fast, reliable access to data Optimize our data architecture for performance, reliability, and cost Collaborate with engineers to integrate data best practices across … teams Champion data quality, governance, and documentation Key Requirements: Strong experience with Python, SQL, and modern ETL tools (e.g., Airflow, dbt) Solid grasp of cloud platforms (AWS/GCP/Azure) and data warehouses (e.g., BigQuery, Snowflake) Familiarity with streaming technologies (Kafka More ❯

Company: My client are a fast-growing fintech transforming how people manage and move money. As a Data Engineer, you’ll play a pivotal role in building and scaling the data infrastructure that powers everything from real-time fraud detection to personalized financial insights. Key Responsibilities … Design, build, and maintain scalable data pipelines (batch & streaming) Work with Data Scientists and Analysts to enable fast, reliable access to data Optimize our data architecture for performance, reliability, and cost Collaborate with engineers to integrate data best practices across … teams Champion data quality, governance, and documentation Key Requirements: Strong experience with Python, SQL, and modern ETL tools (e.g., Airflow, dbt) Solid grasp of cloud platforms (AWS/GCP/Azure) and data warehouses (e.g., BigQuery, Snowflake) Familiarity with streaming technologies (Kafka More ❯

Company: My client are a fast-growing fintech transforming how people manage and move money. As a Data Engineer, you’ll play a pivotal role in building and scaling the data infrastructure that powers everything from real-time fraud detection to personalized financial insights. Key Responsibilities … Design, build, and maintain scalable data pipelines (batch & streaming) Work with Data Scientists and Analysts to enable fast, reliable access to data Optimize our data architecture for performance, reliability, and cost Collaborate with engineers to integrate data best practices across … teams Champion data quality, governance, and documentation Key Requirements: Strong experience with Python, SQL, and modern ETL tools (e.g., Airflow, dbt) Solid grasp of cloud platforms (AWS/GCP/Azure) and data warehouses (e.g., BigQuery, Snowflake) Familiarity with streaming technologies (Kafka More ❯

Company: My client are a fast-growing fintech transforming how people manage and move money. As a Data Engineer, you’ll play a pivotal role in building and scaling the data infrastructure that powers everything from real-time fraud detection to personalized financial insights. Key Responsibilities … Design, build, and maintain scalable data pipelines (batch & streaming) Work with Data Scientists and Analysts to enable fast, reliable access to data Optimize our data architecture for performance, reliability, and cost Collaborate with engineers to integrate data best practices across … teams Champion data quality, governance, and documentation Key Requirements: Strong experience with Python, SQL, and modern ETL tools (e.g., Airflow, dbt) Solid grasp of cloud platforms (AWS/GCP/Azure) and data warehouses (e.g., BigQuery, Snowflake) Familiarity with streaming technologies (Kafka More ❯

React, Angular, or Vue.js ). Proficiency in back-end frameworks ( Express, Django, or Flask ). Experience with containerization technologies ( Docker, Kubernetes ). Strong SQL skills and data modeling experience. Understanding of CI/CD pipelines and DevOps practices. Proficiency in Python and Java . Familiarity with … web development best practices and design patterns. Knowledge of cloud platforms (preferably Azure) and cloud data warehouses (Snowflake is a plus). Understanding of microservices architecture and modern data analytics stacks. Bachelor’s degree in Computer Science, Software Engineering, or a related field. 5+ More ❯

experience • Strong coding experience in either Java, Golang (Go), Python or Scala – multiple would be even better! • Experience with cloud platforms e.g. AWS, Azure, GCP - Google Cloud • Experience with data warehouses e.g. BigQuery, Redshift, Snowflake • Ability to work collaboratively • Open to new AI tools and technologies More ❯

experience • Strong coding experience in either Java, Golang (Go), Python or Scala – multiple would be even better! • Experience with cloud platforms e.g. AWS, Azure, GCP - Google Cloud • Experience with data warehouses e.g. BigQuery, Redshift, Snowflake • Ability to work collaboratively • Open to new AI tools and technologies More ❯

experience • Strong coding experience in either Java, Golang (Go), Python or Scala – multiple would be even better! • Experience with cloud platforms e.g. AWS, Azure, GCP - Google Cloud • Experience with data warehouses e.g. BigQuery, Redshift, Snowflake • Ability to work collaboratively • Open to new AI tools and technologies More ❯