1 to 25 of 48 Databricks Jobs in the City of London

CDO level and translating requirements into solution blueprints, proposals, and presentations. Enterprise Solution Design – Architect end-to-end data and cloud solutions across platforms such as Azure, AWS, GCP, Databricks, Snowflake, Synapse, or Azure Fabric. Cloud Strategy & Adoption – Define and lead cloud migration, modernisation, and optimisation strategies using tools such as Terraform, Azure DevOps, and CI/CD pipelines. Data More ❯

CDO level and translating requirements into solution blueprints, proposals, and presentations. Enterprise Solution Design – Architect end-to-end data and cloud solutions across platforms such as Azure, AWS, GCP, Databricks, Snowflake, Synapse, or Azure Fabric. Cloud Strategy & Adoption – Define and lead cloud migration, modernisation, and optimisation strategies using tools such as Terraform, Azure DevOps, and CI/CD pipelines. Data More ❯

solution strategies, guiding delivery teams, and acting as a trusted advisor to CDOs, CIOs, and Heads of Data. 🔑 What You’ll Do Lead enterprise solution design on GCP, BigQuery, Databricks, Snowflake Drive cloud migration & modernisation strategies (Terraform, CI/CD, Azure DevOps, GitHub) Define enterprise data models (ERwin, ER/Studio, PowerDesigner) Architect ETL/ELT frameworks & pipelines (Dataflow, Dataproc More ❯

solution strategies, guiding delivery teams, and acting as a trusted advisor to CDOs, CIOs, and Heads of Data. 🔑 What You’ll Do Lead enterprise solution design on GCP, BigQuery, Databricks, Snowflake Drive cloud migration & modernisation strategies (Terraform, CI/CD, Azure DevOps, GitHub) Define enterprise data models (ERwin, ER/Studio, PowerDesigner) Architect ETL/ELT frameworks & pipelines (Dataflow, Dataproc More ❯

leaders. • Investigate underwriting performance queries and provide actionable insights. • Design, develop, and validate predictive models to inform underwriting decisions. • Work with data engineering teams to design and maintain Azure Databricks pipelines. • Support the automation of data-driven deliverables for proactive services. • Identify and resolve data issues, recommending fixes and improvements. • Collaborate with underwriters, actuaries, and operations teams to embed insights More ❯

leaders. • Investigate underwriting performance queries and provide actionable insights. • Design, develop, and validate predictive models to inform underwriting decisions. • Work with data engineering teams to design and maintain Azure Databricks pipelines. • Support the automation of data-driven deliverables for proactive services. • Identify and resolve data issues, recommending fixes and improvements. • Collaborate with underwriters, actuaries, and operations teams to embed insights More ❯

such as private endpoints, Firewalls, NSGs, NAT gateways and route tables. Strong understanding of security best practices within Azure and ideally AWS. Experience of configuring cloud data services (preferably Databricks) in Azure and ideally AWS. Excellent communication and collaboration skills, with the ability to work across multiple Should this position be of interest please submit your CV and I will More ❯

You will be adaptable and able to work with different tools and technologies, depending on the client and project needs but will ideally possess stength in: MS Fabric stack Databricks Azure SQL Tableau/Power BI A knowledge of data modelling and of general IT architecture and systems integration is also required. Other technologies such as Azure Data Factory, RedShift More ❯

through advanced analytics and research-based problem solving. To be successful you should have: 10 years hands-on experience in AWS data engineering technologies, including Glue, PySpark, Athena, Iceberg, Databricks, Lake Formation, and other standard data engineering tools. Previous experience in implementing best practices for data engineering, including data governance, data quality, and data security. Proficiency in data processing and More ❯

small, high-performing team. What We're Looking For Hands-on Palantir Foundry expertise or transferable, client facing data engineering experience with large-scale data platforms such as: Snowflake, Databricks, AWS Glue/Redshift, Google BigQuery Software engineering skills in Python, Java, or TypeScript/React. Strong data modelling, pipeline development, and API design experience. Excellent problem-solving and communication More ❯

including 4+ years in pre-sales/solutioning. Banking transformation expertise (regulatory reporting, finance/data modernisation). Strong cloud/data architecture skills (Azure/AWS/GCP, Databricks, Snowflake, Synapse). Data governance expertise and RFP/RFI leadership. Why apply? Senior, strategic role with real influence. Opportunity to lead major banking transformation initiatives. Excellent package and hybrid More ❯

as it grows in scale and complexity Act as a key business-facing leader, engaging stakeholders across functions SKILLS AND EXPERIENCE Strong SQL , Power BI , Azure experience Knowledge of Databricks (essential) Business Objects (desirable) Experience managing SLAs, suppliers, and FinOps processes Proven leadership and people management skills Stakeholder management and business engagement experience Background in enterprise - level data environments (5+ More ❯

as it grows in scale and complexity Act as a key business-facing leader, engaging stakeholders across functions SKILLS AND EXPERIENCE Strong SQL , Power BI , Azure experience Knowledge of Databricks (essential) Business Objects (desirable) Experience managing SLAs, suppliers, and FinOps processes Proven leadership and people management skills Stakeholder management and business engagement experience Background in enterprise - level data environments (5+ More ❯

meet the following requirements: Strong Data Technology skills, with the ability to build, operate, maintain and support loud infrastructure & data services at scale Extensive experience of Big Data Technologies (Databricks, Spark etc) Cloud Infrastructure & Platform Engineering experience (Azure preferred) The ability to conduct cybersecurity industry research and rapidly develop data-driven prototypes for live business problems faced by Cybersecurity teams More ❯

Ideally you can demonstrate experience across - Full data production life cycle Conceptual and logical data designs Data modelling (3NF) Data mining Data Vaults/Kimball methodology Azure Cloud Services - Databricks, ADF, CosmosDB, Azure SQL Data warehouse design, Data lakes/lakehouses Working with both structured and unstructured data is essential Stakeholder engagement across business and data teams Please note this More ❯

drug development and patient care. Key Responsibilities Develop and validate complex analysis datasets from large and diverse data sources Perform statistical analyses and create reports for observational studies using Databricks and SAS Interpret and implement analysis plans in close collaboration with epidemiologists Ensure programming accuracy and compliance by reviewing peer code and outputs Identify and resolve data issues, ensuring robust More ❯

Lead AWS Data Engineer/Architect - Databricks - London I'm working with a globally renowned financial services client that are looking for a seasons Data professional. My client are seen as leaders and pioneers within their relative field but also, a very well known house hold name. They have operations in near enough every country and despite having such a … to make an impact, get in touch ASAP as interviews are already taking place. Don't miss out! Key Skills: AWS, Data, Architecture, Data Engineering, Data Warehousing, Data Lakes, Databricks, Glue, Pyspark, Athena, Python, SQL, Machine Learning, London More ❯

. Understanding of flight operations, ground handling, network planning, revenue management, or MRO. Data & Technology Knowledge (~10% focus) Familiarity with Data Mesh principles and decentralised data governance. Experience with Databricks for data pipelines, analytics, and ML environments. Knowledge of data as a product (APIs, analytics platforms, data solutions). Business Engagement (~40% focus) Confidence working with C-suite executives, functional More ❯

. Understanding of flight operations, ground handling, network planning, revenue management, or MRO. Data & Technology Knowledge (~10% focus) Familiarity with Data Mesh principles and decentralised data governance. Experience with Databricks for data pipelines, analytics, and ML environments. Knowledge of data as a product (APIs, analytics platforms, data solutions). Business Engagement (~40% focus) Confidence working with C-suite executives, functional More ❯

At Capgemini Financial Services, we are seeking a AWS Databricks Developer to join Capgemini's Insights and Data Practice. You will have the following experience : 8+ years of experience in data engineering or cloud development. Strong hands-on experience with AWS services Proficiency in Databricks, Apache Spark, SQL, and Python. Experience with data modeling, data warehousing, and DevOps practices. Familiarity … with Delta Lake, Unity Catalog, and Databricks REST APIs. Excellent problem-solving and communication skills. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world while creating tangible impact for enterprises and society. It is a responsible and diverse group of 350,000 team members in More ❯

At Capgemini Financial Services, we are seeking a AWS Databricks Developer to join Capgemini's Insights and Data Practice. You will have the following experience : 8+ years of experience in data engineering or cloud development. Strong hands-on experience with AWS services Proficiency in Databricks, Apache Spark, SQL, and Python. Experience with data modeling, data warehousing, and DevOps practices. Familiarity … with Delta Lake, Unity Catalog, and Databricks REST APIs. Excellent problem-solving and communication skills. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world while creating tangible impact for enterprises and society. It is a responsible and diverse group of 350,000 team members in More ❯

insights. From developing robust proof-of-concepts to deploying enterprise-grade solutions, you will apply your expertise in AI engineering, cloud platforms, and technologies such as Generative AI, Azure, Databricks to embed intelligence into critical audit workflows and products. You will mentor junior engineers, promote best practices, and foster a culture of collaboration, innovation, and continuous improvement. You will stay … in Python and key ML libraries (e.g. PyTorch, PySpark, scikit-learn, Hugging Face Transformers). Hands-on experience with modern data platforms and AI tooling such as Azure ML, Databricks, MLflow, LangChain, LangGraph. Proven experience with modern engineering practices Git, version control, unit testing and containerisation. Familiarity with agile work methodologies and tools like Jira and Confluence. Behavioural Attributes and More ❯

insights. From developing robust proof-of-concepts to deploying enterprise-grade solutions, you will apply your expertise in AI engineering, cloud platforms, and technologies such as Generative AI, Azure, Databricks to embed intelligence into critical audit workflows and products. You will mentor junior engineers, promote best practices, and foster a culture of collaboration, innovation, and continuous improvement. You will stay … in Python and key ML libraries (e.g. PyTorch, PySpark, scikit-learn, Hugging Face Transformers). Hands-on experience with modern data platforms and AI tooling such as Azure ML, Databricks, MLflow, LangChain, LangGraph. Proven experience with modern engineering practices Git, version control, unit testing and containerisation. Familiarity with agile work methodologies and tools like Jira and Confluence. Behavioural Attributes and More ❯

modernised data environment and lead a team of analysts and support engineers. The Company Having recently completed a large-scale migration from a legacy IBM stack into Azure and Databricks, this business has transformed the way they operate with data. Their environment is now far more dynamic, with evolving requirements and ongoing development. They continue to use Business Objects, though … standards, while enabling innovation Be the bridge between data teams and business stakeholders—ensuring the platform delivers real, measurable value What You Bring Deep hands-on experience with Azure, Databricks, Power BI, and SQL (Business Objects a bonus) Proven track record leading technical teams in enterprise-scale data environments Strong understanding of service management, with experience managing SLAs, vendors, and More ❯

modernised data environment and lead a team of analysts and support engineers. The Company Having recently completed a large-scale migration from a legacy IBM stack into Azure and Databricks, this business has transformed the way they operate with data. Their environment is now far more dynamic, with evolving requirements and ongoing development. They continue to use Business Objects, though … standards, while enabling innovation Be the bridge between data teams and business stakeholders—ensuring the platform delivers real, measurable value What You Bring Deep hands-on experience with Azure, Databricks, Power BI, and SQL (Business Objects a bonus) Proven track record leading technical teams in enterprise-scale data environments Strong understanding of service management, with experience managing SLAs, vendors, and More ❯