151 to 175 of 234 Databricks Jobs in London

seeking a Senior Data Engineer to lead the design, build, and operation of scalable data pipelines and domain-aligned data products on Databricks using Python . This role is accountable for delivering governed, discoverable, high-quality datasets and services aligned to data mesh principles (domain ownership, product thinking, and federated … enabling analytics and ML use cases with strong reliability, security, and performance. Key Responsibilities Architect and deliver end-to-end data engineering solutions on Databricks (Spark/Delta Lake) using Python and SQL. Build data products aligned to data mesh principles: clear contracts, documentation, metadata, lineage, access controls, and measurable ...

Databricks is seeking a motivated Legal Counsel to support our EMEA business. You will work alongside sales teams and provide legal assistance on customer agreements. This role requires negotiating commercial contracts, resolving legal issues efficiently, and adopting AI tools to streamline processes. The ideal candidate is a qualified lawyer with ...

Databricks is seeking an experienced sales leader to oversee the Telco & Utilities sales team in the UK. You will lead a passionate team to drive revenue growth while implementing effective sales strategies. This role is key in maintaining relationships with strategic customers in this vital sector. The ideal candidate will ...

Databricks is seeking a Senior Executive to lead our Energy industry go-to-market strategy across EMEA. This role involves shaping how we engage with top energy companies, building relationships, and driving initiatives that harness data and AI for business value. The ideal candidate will bring over 10 years ...

number of exciting transformation programmes across the energy, oil & gas, and nuclear sectors. They are looking for contractors across: Palantir/Data & AI/Databricks SAP Please click here to find out more about our Key Information Documents. Please note that the documents provided contain generic information. ...

lakehouse, models its core data, and shapes best practice for years to come. If you enjoy ownership, influence, and hands-on technical work across Databricks, data modelling, and pipeline development, this role offers genuine impact and long-term career growth. The Company They are investing heavily in their data capabilities … decision making across the business. The data team is still in its early stages, giving you the chance to help shape standards, strengthen their Databricks environment, and unlock more value from their growing data estate. Collaboration is central to how they work, with strong relationships across Technology, Finance, Operations ...

Liverpool Street (London) Role The Data Engineer Lead is responsible for designing, building, and supporting modern data platform, with a particular focus on Databricks, cloud-based data engineering, and leading the migration of legacy Oracle systems into scalable, cloud-native environments. The role supports the organisation's data strategy especially … role leads the design, implementation, and optimisation the Data Mart and migration processes, ensuring alignment with enterprise data architecture and compliance standards. Core Responsibilities Databricks/Modern Data Platform Engineering Lead the design and development of Data Marts using Databricks (SQL/Python). Follow engineering best practices including version ...

ways of working, and the evolution of the data platform. Key responsibilities include: Designing, building, and maintaining data pipelines using Azure Data Factory and Databricks Integrating data from core business systems via APIs, including finance and HR platforms Developing and improving a lakehouse architecture, with clear ingestion, transformation, and consumption … skills and hands-on experience with data transformation and modelling Experience using Power BI, including semantic models, DAX, and the reporting layer Exposure to Databricks, particularly for data transformation and connecting multiple data sources Familiarity with concepts such as medallion architecture, star schemas, and analytics engineering best practice Confidence working ...

Leading hands-on technical delivery of AI projects, contributing actively to codebases and architectural decisions Developing and deploying production-grade AI systems using Azure, Databricks and Generative AI tooling Owning the implementation of ML pipelines, APIs and data integration workflows Enforcing MLOps best practices, coding standards, version control and performance … lifecycle best practices Hands-on experience with ML libraries: PyTorch, PySpark, scikit-learn, Hugging Face Transformers Proficiency in AI tooling: Azure ML, Databricks, MLflow, LangChain, LangGraph Proven experience with Git, unit testing, containerisation and agile methodologies (Jira, Confluence) Good knowledge of generative AI, machine learning, deep learning or NLP Strong ...

Lead Sales Engineer page is loaded## Lead Sales Engineerlocations: London, United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: R12105**Meet the Moment with Alteryx**We're living through a once-in-a-generation ...

Space LLC is seeking a Senior Data Engineer to lead the design and build of scalable data pipelines and domain-aligned data products using Databricks and Python. You will deliver high-quality datasets and services aligned with data mesh principles, ensuring strong reliability and performance. Candidates should have 8–12+ ...

architectures, and make data available for reporting, AI, and conversational analytics. Maintain awareness of channels to market and the ability to work within the Databricks and Microsoft ecosystem to ensure customer success. Exhibit high energy and intent to help clients understand the fast‐moving data industry, product and service evolution. … data analysis, streaming data, IoT, AI, GenAI, and related analytics fields. Comfortable engaging and leading sales and business development opportunities with clients. Qualifications Hold Databricks certifications, ideally the Databricks Champion or equivalent knowledge and experience. Strong experience in AI engineering, data platforms, reporting, and self‐serve analytics. Experience designing ...

PROVIDED Role : Python Developer Location: London, UK (5 Days/Week Onsite) Type: Permanent Requirement: A Python + React + SQL + Databricks developer role blends backend data engineering with frontend application development, requiring strong coding skills in Python, React.js, SQL, and Databricks for building scalable, data-driven Key Responsibilities … Backend Development (Python) Build APIs and services using Python frameworks (Flask, FastAPI, Django). Integrate with Databricks SQL endpoints for data access. Ensure performance, scalability, and security of backend systems. Databricks & Data Engineering Develop ETL pipelines and workflows using PySpark on Databricks. Work with Delta Lake, Unity Catalog, and Databricks ...

oversight experience Test functionality Make sure all tests meet FA standards Flesh out the test approach Strong test Governance documentation Defect management Snowflake and databricks – to move data Good understanding of Back-office functions Transfer Agency/TA knowledge across EMEA Fund accounting/FA knowledge across EMEA Back-office ...

impact opportunity to shape the future of a modern data platform at scale. You will take ownership of architecture, performance, and governance across a Databricks Lakehouse environment, directly influencing how business decisions are made. THE COMPANY They are a global, data-driven organisation operating at the intersection of technology … deliver a scalable and high-performing architecture. Specifically, you can expect to be involved in the following: Design and implement a governed Databricks Lakehouse, including catalog and data structures. Migrate complex legacy SQL into clean, modular, and maintainable pipelines. Build scalable transformation frameworks using Spark and Python or SQL-based ...

outset. This role is suited to mid-level or experienced data engineers with a strong understanding of modern cloud platforms such as Snowflake, Databricks, or Microsoft Fabric, who are keen to move beyond maintenance work and help shape a platform. The client is a leading organisation in the live entertainment … with platform developments and contribute ideas for improving or evolving the architecture. Skills, qualities and experience Familiar with modern cloud data platforms such as DataBricks, Snowflake or MS Fabric. Comfortable engaging directly with stakeholders, taking ownership of technical decisions, and contributing to the broader data strategy. Essential SQL PySpark/ ...

outset. This role is suited to mid-level or experienced data engineers with a strong understanding of modern cloud platforms such as Snowflake, Databricks, or Microsoft Fabric, who are keen to move beyond maintenance work and help shape a platform. The client is a leading organisation in the live entertainment … with platform developments and contribute ideas for improving or evolving the architecture. Skills, qualities and experience Familiar with modern cloud data platforms such as DataBricks, Snowflake or MS Fabric. Comfortable engaging directly with stakeholders, taking ownership of technical decisions, and contributing to the broader data strategy. Essential SQL PySpark/ ...

/or industry environment Technical Skills You'll have experience with some of the following: Cloud & Data Platforms: AWS, Azure, Google Cloud Platform, Databricks Programming Languages: Python, R, PySpark Agentic & GenAI Platforms: Microsoft Copilot Studio, OpenAI GPT-5 Agents, UiPath, Adept AI, Orby AI, Beam AI If you've held … GenAI Consultant, AI Engineer, Applied Data Scientist, Analytics Consultant, ML Engineer, Data & AI Consultant, Advanced Analytics Consultant, NLP Specialist, Python Developer, AI Transformation Consultant, Databricks Consultant, Azure AI Consultant, AWS Data Scientist, GCP Data Consultant, Agentic AI Consultant, OpenAI GPT Specialist, PySpark Developer. Deerfoot Recruitment Solutions Ltd is a leading ...

Facilitate data extraction, transformation, and loading (ETL) from various sources, including interfacing with our Azure-hosted Data Lake, to support local analytics and reporting (Databricks application experience desirable).* **Fund Modelling & Optimisation:** Build and enhance dynamic fund-level financial models to support capital allocation, return optimisation, and liquidity management.**Technical … coding experience is essential (especially libraries for data manipulation like Pandas/NumPy, and web frameworks like Flask/Django for internal tools).* **Databricks/Snowflake** experience in a data engineering context to support both traditional database manipulation and large-scale data management.* **Microsoft Power Platform** (Power Apps, Power ...

days onsite Location - London/Glasgow/Cardiff SC Security Clearance required Role Purpose To design, implement, and enable a secure Azure Databricks platform aligned with architecture, security standards, and operating model. The role will establish reference patterns, governance controls, and onboarding guidance to support decentralized teams. Responsibilities Design … deploy Azure Databricks using secure, enterprise patterns Configure Databricks workspaces, clusters, and policies aligned with cost and security guardrails. Implement Unity Catalog including metastores, access connectors, external locations, and fine-grained RBAC recommending best practices Define and implement least-privilege access models for multiple teams. Support security and TDA assurance ...

looking to grow in a forward-thinking environment. THE ROLE: You will take ownership of supporting and developing data pipelines within a modern Azure Databricks Lakehouse environment. Working closely with engineering teams, you'll contribute to building scalable, high-quality data solutions while developing your technical skillset. Key responsibilities include … development processes Contributing to data engineering and data modelling activities Applying DevOps principles throughout the engineering lifecycle Collaborating across squads and upskilling within the Databricks ecosystem YOUR SKILLS AND EXPERIENCE: You will bring strong capability in: Python development Databricks Azure PySpark Understanding of data engineering principles A proactive, growth-mindset ...

play a key role in bringing alignment, structure, and consistency across engineering practices, while working within a modern Microsoft technology stack including Azure, Databricks, Fabric, Power Platform, SharePoint, and Azure DevOps . The focus is on creating a high-performing engineering function that delivers reliably and continuously improves. Key Responsibilities … Support and strengthen L2/L3 support models. Continuous Improvement Identify opportunities to optimise tools, processes, and delivery practices. Champion best practice across Azure, Databricks, Fabric, and the wider engineering ecosystem. Skills & Experience Proven experience leading multi-disciplinary engineering teams , including managing team leaders or managers. Strong delivery background across ...

aligned with business requirements Develop and optimise semantic models (data models) in Power BI Collaborate with data engineering teams working across Fabric, Azure, and Databricks Ensure best practices across performance, governance, and usability Engage with stakeholders to gather requirements and deliver actionable insights Required Skills & Experience Proven experience delivering … Strong expertise in Power BI (reporting, DAX, data modelling, performance tuning) Experience building and managing semantic/data models Strong experience working with Azure, Databricks and Fabric Strong stakeholder engagement and communication skills Experience in the financial sector is advantageous If this is a role that suits your skill ...

Senior Analytics Engineer will: Build and maintain curated, analysis-ready datasets for business use Develop scalable data models and transformation layers using dbt and Databricks Create reliable sources of truth for analysts and reporting teams Collaborate with stakeholders to understand data requirements and deliver impactful solutions Contribute to best practices … Understanding of data warehouse modelling concepts such as medallion architecture or Kimball methodologies Familiarity with Python for data workflows Exposure to tools such as Databricks, or similar cloud-based platforms Experience working in collaborative data teams and delivering for multiple stakeholders Strong communication skills and a proactive approach to problem ...

Role & Responsibilities Build, manage, and maintain end to end data pipelines using Azure-based tooling. Develop and evolve a lakehouse-style platform, with Databricks used primarily for transformation and modelling. Integrate data from core business systems such as finance and HR via APIs and structured feeds. Translate business requirements into … modelling concepts such as star schema, Kimball-style modelling, and semantic layers. Power BI experience across data modelling, DAX, and report development. Exposure to Databricks and lakehouse concepts, including incremental loads and snapshotting. Comfortable engaging with non-technical stakeholders and translating requirements into data solutions. ...