26 to 50 of 75 Databricks Jobs in the City of London

end-to-end data flows. Experience in implementing data governance, including data cataloging, data lineage tracking, and metadata management to ensure data accuracy, accessibility, and compliance. Preferred: Experience with Databricks Understanding of how data platforms interact with marketing and customer engagement platforms. Knowledge of service-oriented architecture, including exposing and consuming data via APIs, streams, and webhooks. Good understanding of More ❯

end-to-end data flows. Experience in implementing data governance, including data cataloging, data lineage tracking, and metadata management to ensure data accuracy, accessibility, and compliance. Preferred: Experience with Databricks Understanding of how data platforms interact with marketing and customer engagement platforms. Knowledge of service-oriented architecture, including exposing and consuming data via APIs, streams, and webhooks. Good understanding of More ❯

the value of our data, driving insights that support investment decisions, client reporting, and operational efficiency. The ideal candidate will combine strong technical/Data Engineering skills — particularly with Databricks — with a financial services (insurance, pensions or asset management preferred) environment. Key Responsibilities Develop, maintain, and optimise BI solutions using Databricks and other data tools. Collaborate with investment, risk, and … create integrated analytical views. Contribute to the development of a modern data platform supporting advanced analytics and machine learning use cases. Support the migration of legacy reporting tools into Databricks and modern BI solutions. Key Skills & Experience Essential: Strong hands-on experience with Databricks (SQL, PySpark, Delta Lake). Solid knowledge of BI and data visualisation tools (e.g., Power BI More ❯

automation of data validation processes. Strong SQL skills for data manipulation and validation. Proven experience working with data lakes and data warehouses, Experience with Power BI integrations and Azure Databricks, with a solid technical understanding of these platforms. Experience contributing to or supporting data factories and large-scale data testing frameworks. Familiarity with leveraging AI in data projects (desirable not More ❯

automation of data validation processes. Strong SQL skills for data manipulation and validation. Proven experience working with data lakes and data warehouses, Experience with Power BI integrations and Azure Databricks, with a solid technical understanding of these platforms. Experience contributing to or supporting data factories and large-scale data testing frameworks. Familiarity with leveraging AI in data projects (desirable not More ❯

to translate needs into scalable solutions What you bring: Deep experience with Microsoft Azure , particularly around data services Proven track record delivering with tools such as Fabric , Synapse , or Databricks Proficiency in SQL, Python, and modern data engineering patterns Leadership experience within engineering or delivery teams A consultancy mindset - adaptable, curious, and client focused Location & Flexibility: Primarily remote, with periodic More ❯

Digital Experience domains. Strong SQL skills for data extraction, transformation, and pipeline development. Proficiency with data visualization tools (Tableau, Qlik, or similar). Experience with big data platforms (Snowflake, Databricks, Spark) and ETL processes . Working knowledge of Python or R for analytics or automation (preferred). Understanding of statistical methods and A/B testing . Excellent storytelling and More ❯

Camunda). Proficiency in CI/CD pipelines (Jenkins), version control (GitHub/GitLab/BitBucket), backend/frontend frameworks (Spring Boot, Angular, React), cloud and data platforms (Azure Databricks, Data Lake), monitoring, logging, and test automation tools to deliver high-quality, scalable, and secure software solutions. This is an excellent opportunity for someone to lead and shape the engineering More ❯

Camunda). Proficiency in CI/CD pipelines (Jenkins), version control (GitHub/GitLab/BitBucket), backend/frontend frameworks (Spring Boot, Angular, React), cloud and data platforms (Azure Databricks, Data Lake), monitoring, logging, and test automation tools to deliver high-quality, scalable, and secure software solutions. This is an excellent opportunity for someone to lead and shape the engineering More ❯

users in line with security standards Qualifications ✔ Experience in a data, operations, or analytics-focused role ✔ Familiarity with BI and reporting platforms such as Power BI, Datorama, Data Studio, Databricks, SQL ✔ Strong communication skills and a collaborative, solutions-focused mindset ✔ An organised, proactive approach—comfortable working across teams and timelines ✔ Excitement for new technology, data storytelling, and digital marketing innovation More ❯

users in line with security standards Qualifications ✔ Experience in a data, operations, or analytics-focused role ✔ Familiarity with BI and reporting platforms such as Power BI, Datorama, Data Studio, Databricks, SQL ✔ Strong communication skills and a collaborative, solutions-focused mindset ✔ An organised, proactive approach—comfortable working across teams and timelines ✔ Excitement for new technology, data storytelling, and digital marketing innovation More ❯

Key Focus : Lead pre-sales and solution design for banking clients. Engage with C-level stakeholders and shape transformation roadmaps. Architect cloud/data solutions using Azure, AWS, GCP, Databricks, Snowflake. You'll Need : Vast experience in BI/DW/Analytics, including 4+ years in pre-sales. Banking transformation experience (reg reporting, finance/data modernisation). Strong cloud More ❯

offices 1-2 days a week – based business need. To Be Considered: Demonstrable expertise and experience working on large-scale Data Engineering projects Strong experience in Python/PySpark, Databricks & Apache Spark Hands on experience with both batch & streaming pipelines Strong experience in AWS and associated tooling (Eg, S3, Glue, Redshift, Lambda, Terraform etc) Experience designing Data Engineering platforms from More ❯

offices 1-2 days a week – based business need. To Be Considered: Demonstrable expertise and experience working on large-scale Data Engineering projects Strong experience in Python/PySpark, Databricks & Apache Spark Hands on experience with both batch & streaming pipelines Strong experience in AWS and associated tooling (Eg, S3, Glue, Redshift, Lambda, Terraform etc) Experience designing Data Engineering platforms from More ❯

industries, including financial services, insurance, asset management, pharmaceuticals, energy and natural resources, retail, healthcare, manufacturing, and mobility. As a preferred partner of today’s leading technology providers - such as Databricks, Snowflake and Collibra - delivery is accelerated and revolutionary solutions are co-created. The lives of consultants, clients, and their customers are transformed through data and AI. The Role: We are … and cost efficiency across Snowflake accounts Act as a subject matter expert during consulting engagements, providing advice on best practices for data sharing, and integration with other technology (e.g. Databricks, Starburst, Tableau, Power BI) Ensure solutions meet both functional and non-functional requirements such as scalability, security, reliability and cost optimisation Key Requirements & Technical Experience At least 3 years of More ❯

of a new General Ledger system to Finance functions across their EMEA entities. The main focus will be in Finance Data & Processing Architecture including the roll out of Azure Databricks Lake House and Oracle Cloud platforms supplemented with process orchestration, workflow and microservices. This is a newly created highly visible role, on a greenfield programme. A brilliant opportunity! The following More ❯

as ongoing troubleshooting issues Technically the focus is SQL Server, TSQL, SSIS SSAS And for the Future, they are creating a new roadmap with new technologies including python and databricks in 2027 This is a new opportunity and will be shortlisting over the next week For more information and the chance to be considered, please do send through a CV More ❯

the delivery of strategic IT solutions to Finance functions across their EMEA entities. The main focus will be in Finance Data & Processing Architecture including the roll out of Azure Databricks Lake House and Oracle Cloud platforms supplemented with process orchestration, workflow and microservices. This is a newly created highly visible role. A brilliant opportunity! The following skills/experience is More ❯

prioritise and deliver value What We're Looking For 10+ years of Agile/Scrum delivery experience in banking or financial services Strong understanding of data platforms, ideally with Databricks, Data Lakehouse, or Medallion Architecture Experience working with Finance data/reporting in a corporate or investment banking context Excellent stakeholder management and communication skills Confident using JIRA and leading More ❯

UML tools. Experience with DevOps , Jira , or equivalent project management software. Familiarity with Azure DevOps Boards and DevOps Wiki for managing user stories and documentation. Awareness of tools like Databricks , Terraform , and Azure Functions (used by vendors — not mandatory). Interest in event-driven architecture and microservices communication. More ❯

critical decisions. What You’ll Do Lead the development and deployment of advanced analytics, data science, and machine learning tools and solutions. Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to deliver actionable insights from complex data. Guide and mentor junior data scientists and analysts, fostering a culture of growth and technical excellence. Collaborate with … Desirable Skills: Experience using R and NLP or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs). Familiarity with Generative AI and prompt engineering. Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes. Exposure to Agile development environments and software engineering best practices. Experience working in large or complex organisations or regulated industries. Strong working knowledge of More ❯

ll bridge the gap between business needs and data engineering, shaping how group-level reporting comes to life. Expect to: Collaborate with PMs, architects, and data engineers (Power BI & Databricks stack) Translate complex data and business logic into clear, actionable user stories Design and validate visual concepts that help senior stakeholders see the bigger picture Bring structure, speed and quality More ❯

Insurer a skilled and motivated Data Engineer with Insurance experience to play a key role in the creation of a brand-new data platform within the Azure ecosystem and Databricks . This is an exciting opportunity to be at the forefront of data innovation, working within a newly formed Data & Analytics team in a long standing London Market Insurer . … a Lead Data Engineer, you'll work closely with both technical and business stakeholders, leveraging your expertise to design, develop, and optimize a high-performance data platform built on Databricks . This platform will be built to scale, incorporating the latest advancements in data intelligence while supporting strategic business objectives. Key Responsibilities 🔹 Build & Develop – Design and maintain a robust Databricks … solutions. 🔹 Futureproofing – Drive the evolution of the data platform, ensuring adaptability for new data sources, analytical models, and emerging technologies. What You’ll Bring ✅ Extensive hands-on experience with Databricks , and Microsoft Azure data tools (must-have: Azure Data Factory, Azure Synapse, or Azure SQL). ✅ Dimensional modelling/DWH Design ✅ Medallion Architecture ✅ Strong ETL/ELT development skills. ✅ Python More ❯

Insurer a skilled and motivated Data Engineer with Insurance experience to play a key role in the creation of a brand-new data platform within the Azure ecosystem and Databricks . This is an exciting opportunity to be at the forefront of data innovation, working within a newly formed Data & Analytics team in a long standing London Market Insurer . … a Lead Data Engineer, you'll work closely with both technical and business stakeholders, leveraging your expertise to design, develop, and optimize a high-performance data platform built on Databricks . This platform will be built to scale, incorporating the latest advancements in data intelligence while supporting strategic business objectives. Key Responsibilities 🔹 Build & Develop – Design and maintain a robust Databricks … solutions. 🔹 Futureproofing – Drive the evolution of the data platform, ensuring adaptability for new data sources, analytical models, and emerging technologies. What You’ll Bring ✅ Extensive hands-on experience with Databricks , and Microsoft Azure data tools (must-have: Azure Data Factory, Azure Synapse, or Azure SQL). ✅ Dimensional modelling/DWH Design ✅ Medallion Architecture ✅ Strong ETL/ELT development skills. ✅ Python More ❯

Contract Databricks Platform Engineer - Remote - £525/pd Please note - whilst this role is fully remote, applications will only be accepted by candidates who live in the UK permanently and have the unrestricted right to work in the UK. This organisation is unable to offer sponsorship. A well-established UK-based Data & AI consultancy is looking for a Databricks Platform … Engineer to support the rollout of a Databricks platform for a major finance client. Key Responsibilities: Support the deployment and configuration of Databricks with Unity Catalog. Implement infrastructure as code using Terraform. Set up and manage CI/CD pipelines with GitHub Actions. Ensure robust Azure security and cost management practices. Collaborate with client teams to ensure smooth platform adoption. … Required Skills: Strong experience with Databricks and Unity Catalog. Proficiency in Terraform, GitHub Actions, and CI/CD. Solid understanding of Azure security and cost optimisation. Experience working with enterprise clients in a consultancy setting is a plus. Why Apply? Work with a top-tier consultancy on a high-impact project. Fully remote flexibility. Competitive day rate outside IR35. Quick More ❯