151 to 175 of 289 Databricks Jobs in London

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

governance, and analytics. Extensive expertise in Power BI, including developing complex dashboards and reports. Strong understanding of Power BI governance practices. Proficiency with data platforms such as Synapse and Databricks (Desirable) Excellent problem-solving skills and strategic thinking. If you're passionate about creating best-in-class data platforms and transforming how organisations leverage data, we'd love to hear More ❯

Database management systems: PostgreSQL, ClickHouse Deployment tools: Flux, Helm, Kustomize Frontend frameworks: React, Angular Infrastructure as code: Terraform, Terragrunt Cloud provider: AWS Event streaming platform: Kafka Big data processing: Databricks About Chainalysis Blockchain technology is powering a growing wave of innovation. Businesses and governments around the world are using blockchains to make banking more efficient, connect with their customers, and More ❯

a digital or e-commerce context. Proven success in leading analysts, including development, prioritisation, and delivery. Deep comfort with tools like SQL, Tableau, and large-scale data platforms (e.g., Databricks); bonus for Python or PySpark skills. Strong grasp of A/B testing, experimentation design, and statistical rigour. Exceptional communicator - able to distil complex data into clear, actionable narratives for More ❯

Reddit, and Lyft rely on Zip to manage billions of dollars in spend. We're a fast-growing team that helped scale category-defining companies like Airbnb, Meta, Salesforce, Databricks, Ramp, Apple, and Google. With a $2.2 billion valuation and $370 million in funding from Y Combinator, BOND, DST Global, and CRV, we're focused on developing cutting-edge technology More ❯

hiring for Technical Data Architect location: Central London Type : Permanent Hybrid role (2-3 days from client location) We are seeking a highly skilled TechnicalData Architect- with expertise in Databricks, PySpark, and modern data engineering practices. The ideal candidate will lead the design, development, and optimization of scalable data pipelines, while ensuring data accuracy, consistency, and performance across the enterprise … consistency, row counts, and KPIs during migration and transformation. Collaborate with Data engineer , BI Engineers, and Security teams to define data standards, governance, and compliance. Optimize Spark jobs and Databricks clusters for performance and cost efficiency. Support real-time and batch data processing for downstream systems (e.g., BI tools, APIs, reporting consumers). Mentor junior engineers, conduct code reviews, and … engineering, cloud platforms, and analytics. ________________________________________ Required Skills & Qualifications 10-12 years of experience in data engineering, with at least 3+ years in a technical lead role. Strong expertise in Databricks , PySpark , and Delta Lake . DBT Advanced proficiency in SQL, ETL/ELT pipelines, and data modelling. Experience with Azure Data Services (ADLS, ADF, Synapse) or other major cloud platforms More ❯

data-driven decision-making. Responsibilities for the Senior Data Engineer: Design, build, and maintain scalable data pipelines and architectures, ensuring reliability, performance, and best-in-class engineering standards Leverage Databricks, Spark, and modern cloud platforms (Azure/AWS) to deliver clean, high-quality data for analytics and operational insights Lead by example on engineering excellence, mentoring junior engineers and driving … protection of customer data Continuously improve existing systems, introducing new technologies and methodologies that enhance efficiency, scalability, and cost optimisation Essential Skills for the Senior Data Engineer: Proficient with Databricks and Apache Spark, including performance tuning and advanced concepts such as Delta Lake and streaming Strong programming skills in Python with experience in software engineering principles, version control, unit testing … Understanding of machine learning model enablement and operationalisation within data architectures Experience working within Agile delivery environments If you are an experienced Senior Data Engineer with strong expertise in Databricks , Azure , and data architecture design , looking for a hands-on role where you can influence technical direction and drive meaningful change, please apply in the immediate instance. Data Engineer, Senior 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 ❯

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 ❯

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 ❯

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 ❯

Date: ASAP Interview Process: One stage Core Skills Required Strong expertise in Power BI – dashboarding, reporting, and data visualisation Advanced SQL skills for querying and data manipulation Experience with Databricks for scalable data processing Desirable Skills Familiarity with PySpark for distributed data processing More ❯

you will not only design and implement robust data pipelines but also mentor junior team members, drive engineering best practices, and support the delivery of customer-facing datasets via Databricks , APIs , and event-driven systems . You'll take ownership of complex engineering tasks, contribute to architectural decisions, and collaborate with stakeholders across engineering, product, and domain teams. Key Responsibilities … Design, implement, and optimise scalable data pipelines using Python, PySpark, and Databricks Drive the delivery of customer-facing data products through APIs, Databricks-based sharing, and event-driven mechanisms (e.g., Kafka or similar) Take ownership of end-to-end features - from scoping and development to deployment and monitoring Lead and participate in technical design discussions, contributing to architectural improvements and … and provide input during planning and retrospectives Requirements: Good experience in data engineering or backend software engineering with a data focus Strong proficiency in Python , PySpark , and working within Databricks environments Hands-on experience designing and delivering data products via REST APIs , event-driven systems , or data sharing platforms like Databricks Delta Sharing Solid understanding of distributed data processing, ETL More ❯

principles of Event Driven Micro Services Architecture. Required skills Python AWS - SNS/SQS Lambda Step Functions ECS Spinnaker Kubernetes Kafka Terraform ORM frameworks Nice to have Pyspark and Databricks experience is a plus. Knowledge and experience in the JPM morgan ecosystem/tools will carry higher value. 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 ❯

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 ❯