26 to 50 of 54 Databricks Jobs in the City of London

large-scale, enterprise-grade data platforms from vision to execution. Proven experience within the Lloyd’s of London insurance market — essential. Deep experience with modern data tech stacks — e.g., Databricks, Snowflake, Azure, AWS, or GCP. The ability to influence and inspire senior stakeholders and globally distributed teams. Sounf good? Apply now More ❯

large-scale, enterprise-grade data platforms from vision to execution. Proven experience within the Lloyd’s of London insurance market — essential. Deep experience with modern data tech stacks — e.g., Databricks, Snowflake, Azure, AWS, or GCP. The ability to influence and inspire senior stakeholders and globally distributed teams. Sounf good? Apply now 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 ❯

You will develop integrations with internal and external APIs, build cloud-native components on Azure - while also contributing to innovative AI and data-driven solutions, leveraging technologies such as Databricks, data pipelines, and large language models (LLMs) to power next-generation applications. You’ll collaborate closely with engineering peers, architects, and product owners to bring business ideas to life while … best practices to safeguard API communication and data integrity. Cloud Engineering: Design and implement components using Azure services such as Function Apps, API Management, Application Gateway, Azure AI Foundry, Databricks and Service Bus. DevOps & CI/CD: Collaborate on build and deployment automation using Git, Azure DevOps, and CI/CD pipelines. Workflow Automation: Collaborate with stakeholders to build and More ❯

You will develop integrations with internal and external APIs, build cloud-native components on Azure - while also contributing to innovative AI and data-driven solutions, leveraging technologies such as Databricks, data pipelines, and large language models (LLMs) to power next-generation applications. You’ll collaborate closely with engineering peers, architects, and product owners to bring business ideas to life while … best practices to safeguard API communication and data integrity. Cloud Engineering: Design and implement components using Azure services such as Function Apps, API Management, Application Gateway, Azure AI Foundry, Databricks and Service Bus. DevOps & CI/CD: Collaborate on build and deployment automation using Git, Azure DevOps, and CI/CD pipelines. Workflow Automation: Collaborate with stakeholders to build and More ❯

impact on business strategy through data-driven insights Part of a strong, mutually supportive team in a non-hierarchical structure Key Responsibilities Solution Design & Project Management Lead as a Databricks technical expert, driving process improvement and automation Partner with business domain expert to understand their data requirements and design fit-for-purpose data products to solve complex challenges Design scalable … understanding of emerging tools and platforms What You'll Bring Essential Experience: University degree (2:1 minimum) in analytical field 5+ years in analytics/intelligence function Expert-level: Databricks, Python, SQL, Excel, JavaScript Advanced Excel skills including macro development Experience with Qlik or similar BI platforms Proven track record in cross-team project management Passion for technology and automation More ❯

impact on business strategy through data-driven insights Part of a strong, mutually supportive team in a non-hierarchical structure Key Responsibilities Solution Design & Project Management Lead as a Databricks technical expert, driving process improvement and automation Partner with business domain expert to understand their data requirements and design fit-for-purpose data products to solve complex challenges Design scalable … understanding of emerging tools and platforms What You'll Bring Essential Experience: University degree (2:1 minimum) in analytical field 5+ years in analytics/intelligence function Expert-level: Databricks, Python, SQL, Excel, JavaScript Advanced Excel skills including macro development Experience with Qlik or similar BI platforms Proven track record in cross-team project management Passion for technology and automation More ❯

Data Engineer Client: Award Winning FinTech Firm Rate: Up to £675 p/d Duration: 6-Month Rolling Contract | Long-Term Engagement Location: London Skills: Python/Azure/Databricks/Snowflake The Role: Design and build powerful data pipelines that fuel real-time decisions, machine learning, and next-gen analytics at scale. Transform raw data into trusted, usable assets … in data engineering roles. Advanced skills in Python for data pipelines, transformation, and orchestration. Deep understanding of the Azure ecosystem (e.g., Data Factory, Blob Storage, Synapse, etc.) Proficiency in Databricks (or strong equivalent experience with Apache Spark ). Proven ability to work within enterprise-level environments with a focus on clean, scalable, and secure data solutions. If you are the More ❯

Data Engineer Client: Award Winning FinTech Firm Rate: Up to £675 p/d Duration: 6-Month Rolling Contract | Long-Term Engagement Location: London Skills: Python/Azure/Databricks/Snowflake The Role: Design and build powerful data pipelines that fuel real-time decisions, machine learning, and next-gen analytics at scale. Transform raw data into trusted, usable assets … in data engineering roles. Advanced skills in Python for data pipelines, transformation, and orchestration. Deep understanding of the Azure ecosystem (e.g., Data Factory, Blob Storage, Synapse, etc.) Proficiency in Databricks (or strong equivalent experience with Apache Spark ). Proven ability to work within enterprise-level environments with a focus on clean, scalable, and secure data solutions. If you are the More ❯

the development of a next-generation Market Data Store (MDS). This greenfield initiative offers a rare opportunity to shape the platform from the ground up, leveraging technologies like Databricks, Snowflake, and AWS Glue to solve one of the most complex data challenges in banking. What makes this role stand out? Strategic ownership of a high-impact data platform initiative. … Athena, Iceberg, Lake Formation. Strong proficiency in Python and SQL. Proven leadership in data engineering strategy and execution. Deep understanding of market data and its business applications. Experience with Databricks, Snowflake, and machine learning integration is a plus. The ideal candidate: A strategic thinker with a track record of delivering enterprise-scale data solutions. A collaborative leader who energises and More ❯

Hiring: Snr. Databricks ML Engineer 📍 Remote (UK-based) | 💰 Up to £110,000 We’re working with a cutting-edge AI consultancy who are scaling their ML team with a key hire: a Senior Databricks ML Engineer who’s as comfortable in pre-sales conversations as they are deploying models to production. 🧠 You’ll be someone who: Has deep ML theory … productivity tools and uses them daily Is commercially minded, tech-savvy, and client-facing 🎯 Must-haves: 8+ years in Data Science/ML Engineering 2+ years hands-on with Databricks Strong track record delivering production-grade ML models Solid grasp of MLOps best practices Confident speaking to technical and non-technical stakeholders 🛠️ Tech you’ll be using: Python, SQL, Spark … R MLflow, vector databases GitHub/GitLab/Azure DevOps Jira, Confluence 🎓 Bonus points for: MSc/PhD in ML or AI Databricks ML Engineer (Professional) certified More ❯

build a cutting-edge data platform. This is a rare opportunity to work on a high-impact project, collaborating with multiple business units and leveraging modern technologies such as Databricks and Snowflake. You'll be at the forefront of solving complex data pipeline challenges while contributing to strategic data architecture decisions. As part of this role, you will be responsible … data solutions Implement best practices for data governance, quality, and security Process and analyse large datasets using Python and SQL Support the deployment and optimisation of data platforms including Databricks and Snowflake Contribute to the development of the organisation's data strategy To be successful in the role you will have: Extensive hands-on experience with AWS data engineering tools … Strong understanding of data governance, quality, and security principles Proficiency in Python and SQL for data processing and analysis Experience working with market data and its applications Familiarity with Databricks, Snowflake, and other modern data platforms Knowledge of machine learning and data science concepts is a plus This is a hybrid role based in London up to three days per More ❯

core Azure native data solutions. Key Responsibilities: Own and execute enterprise data strategy – Enterprise data, BI, and reporting solutions Design and develop Azure-native data platforms (Synapse, Data Factory, Databricks, Purview) Lead data governance board and ensure GDPR compliance Drive data-driven decision making across the business Mentor teams and manage vendor relationships Qualifications and Requirements With the past … LLD) experience covering Data modelling (Conceptual, logical, and physical) A zure Expertise: Deep hands-on experience developing core Azure native data solutions: Synapse Analytics, Data Lake Gen2, Data Factory Databricks, CosmosDB, Microsoft Fabric Azure Purview for data governance Integration: Experience with MDM platforms (Profisee, Semarchy, CluedIn) To be considered, please ensure you complete your application on the Computappoint website. Services More ❯

data is accessed and utilised. As a Senior AWS Data Engineer, you'll play a key role in designing and building a cutting-edge data platform using technologies like Databricks, Snowflake, and AWS Glue. Key Responsibilities: Build and maintain scalable data pipelines, warehouses, and lakes. Design secure, high-performance data architectures. Develop processing and analysis algorithms for complex data sets. … Python and SQL skills for data processing and analysis. Deep understanding of data governance, quality, and security. Knowledge of market data and its business applications. Desirable Experience: Experience with Databricks and Snowflake. Familiarity with machine learning and data science concepts. Strategic thinking and ability to influence cross-functional teams. This role offers the chance to work across multiple business areas More ❯

You'll help steer the organisation toward a GenAI-enabled future over the next three years. Key Responsibilities Lead internal data and AI projects within a Microsoft ecosystem (Fabric, Databricks, Power BI, Lakehouse, Copilot). Collaborate with cross-functional teams to ensure alignment with strategic objectives. Manage vendor relationships and guide product managers toward cohesive delivery. Operate within Agile frameworks … a Project Manager in data-centric environments . Strong understanding of cloud platforms and familiarity with AI concepts . Experience working within the Microsoft data stack (e.g. Fabric, Azure Databricks, Power BI, Power Platform, Azure Lakehouse, Copilot). Exceptional stakeholder management skills and the maturity to navigate complex internal dynamics. Agile delivery experience and a strategic mindset. Why Apply? Competitive More ❯

You'll help steer the organisation toward a GenAI-enabled future over the next three years. Key Responsibilities Lead internal data and AI projects within a Microsoft ecosystem (Fabric, Databricks, Power BI, Lakehouse, Copilot). Collaborate with cross-functional teams to ensure alignment with strategic objectives. Manage vendor relationships and guide product managers toward cohesive delivery. Operate within Agile frameworks … a Project Manager in data-centric environments . Strong understanding of cloud platforms and familiarity with AI concepts . Experience working within the Microsoft data stack (e.g. Fabric, Azure Databricks, Power BI, Power Platform, Azure Lakehouse, Copilot). Exceptional stakeholder management skills and the maturity to navigate complex internal dynamics. Agile delivery experience and a strategic mindset. Why Apply? Competitive More ❯

As people increasingly move across channels and platforms, Kantar Media’s data and audience measurement, targeting, analytics and advertising intelligence services unlock insights to inform powerful decision-making. Working with panel and first-party data in over 80 countries, we More ❯

As people increasingly move across channels and platforms, Kantar Media’s data and audience measurement, targeting, analytics and advertising intelligence services unlock insights to inform powerful decision-making. Working with panel and first-party data in over 80 countries, we More ❯

focuss on API Implementation to join a well established team which is growing. The role will involve developing analytics solutions using leading tech stacks and cloud technologies (Azure, Snowflake, Databricks and Python). The Role Develop and maintain an API strategy aligned with business objectives, enhancing current systems and integrating third-party APIs. Design and develop API architectures, set standards … experience, with Azure Functions knowledge as a plus. Demonstrated experience building APIs supporting analytics, research, or actuarial functions in an insurance environment. Proficiency with cloud technologies such as Snowflake, Databricks, and familiarity with MLOps frameworks. Exhibit strong collaboration, problem-solving, and communication skills, with the ability to adapt to changing priorities and simplify complex problems. More ❯

focuss on API Implementation to join a well established team which is growing. The role will involve developing analytics solutions using leading tech stacks and cloud technologies (Azure, Snowflake, Databricks and Python). The Role Develop and maintain an API strategy aligned with business objectives, enhancing current systems and integrating third-party APIs. Design and develop API architectures, set standards … experience, with Azure Functions knowledge as a plus. Demonstrated experience building APIs supporting analytics, research, or actuarial functions in an insurance environment. Proficiency with cloud technologies such as Snowflake, Databricks, and familiarity with MLOps frameworks. Exhibit strong collaboration, problem-solving, and communication skills, with the ability to adapt to changing priorities and simplify complex problems. More ❯

Platform). This role is critical in accelerating the transition to self-service analytics by guiding users in accessing, exploring, and analyzing data using cloud-native tools such as Databricks, SQL, and notebooks. Responsibilities: Support business users in transitioning to the Creative Track by providing training, onboarding, and hands-on assistance. Help users understand and navigate BDAP zones (e.g., curated … aligns with business needs. Act as a bridge between technical teams and business users, helping translate data requirements into actionable workflows. Requirements: Exceptional data analysis skills with proficiency in Databricks, SQL, and Python. Hands-on experience with cloud analytics platforms (e.g., Azure Synapse, Databricks, Snowflake, or similar). Excellent communication and teaching abilities; comfortable supporting non-technical users. Ability to More ❯

Platform). This role is critical in accelerating the transition to self-service analytics by guiding users in accessing, exploring, and analyzing data using cloud-native tools such as Databricks, SQL, and notebooks. Responsibilities: Support business users in transitioning to the Creative Track by providing training, onboarding, and hands-on assistance. Help users understand and navigate BDAP zones (e.g., curated … aligns with business needs. Act as a bridge between technical teams and business users, helping translate data requirements into actionable workflows. Requirements: Exceptional data analysis skills with proficiency in Databricks, SQL, and Python. Hands-on experience with cloud analytics platforms (e.g., Azure Synapse, Databricks, Snowflake, or similar). Excellent communication and teaching abilities; comfortable supporting non-technical users. Ability to More ❯