76 to 100 of 127 Databricks Jobs in Central London

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 ❯

currently 2 engineers + external partners) across complex data and cloud engineering projects Designing and delivering distributed solutions on an AWS-centric stack, with open-source flexibility Working with Databricks, Apache Iceberg, and Kubernetes in a cloud-agnostic environment Guiding architecture and implementation of large-scale data pipelines for structured and unstructured data Steering direction on software stack, best practices … deployments (especially AWS), and orchestration technologies Proven delivery of big data solutions—not necessarily at FAANG scale, but managing high-volume, complex data (structured/unstructured) Experience working with Databricks, Apache Iceberg, or similar modern data platforms Experience of building software environments from the ground up, setting best practice and standards Experience leading and mentoring teams Worked in a startup …/scaleup background and someone that is adaptable Tech Stack Snapshot Languages: Python Cloud: AWS preferred, cloud-agnostic approach encouraged Data: SQL, Databricks, Iceberg, Kubernetes, large-scale data pipelines CI/CD & Ops: Open source tools, modern DevOps principles Why Join? Impactful Work – Help solve security problems that truly matter Ownership & Autonomy – Freedom to shape the stack and drive strategy More ❯

Senior Engineering Manager – Data Platform Tech Stack Knowledge - Databricks, Kafka, AWS 1 Day a Week Onsite - London We are seeking a customer-centric Senior Engineering Manager – Data Platform to lead the teams responsible for building and evolving our core data infrastructure. In this role, you will oversee the development of our foundational data platform — encompassing experimentation frameworks, event ingestion pipelines … or platform teams at scale, ideally in consumer-facing or marketplace environments. Strong knowledge of distributed systems and modern data ecosystems, with hands-on experience using technologies such as Databricks, Apache Spark, Apache Kafka, and DBT. Proven success in building and managing data platforms supporting both batch and real-time processing architectures. Deep understanding of data warehousing, ETL/ELT More ❯

/or working with Quant Trading Technology Expertise in Python and SQL and familiarity with relational and time-series databases. Exposure to Airflow and dbt, as well as Snowflake, Databricks or other Cloud Data Warehouses preferred. Experience implementing data pipelines from major financial market data vendors (Bloomberg, Refinitiv, Factset....) SDLC and DevOps: Git, Docker, Jenkins/TeamCity, monitoring, testing, agile More ❯

Hedge Fund, Investment Bank, FinTech or similar Expertise in Python and SQL and familiarity with relational and time-series databases. Exposure to Airflow and dbt, as well as Snowflake, Databricks or other Cloud Data Warehouses preferred. Experience implementing data pipelines from major financial market data vendors (Bloomberg, Refinitiv, Factset....) SDLC and DevOps: Git, Docker, Jenkins/TeamCity, monitoring, testing, agile More ❯

e.g. BeautifulSoup, Requests, Selenium, or Scrapy) Understanding of website structures, and how to extract data Knowledge of modern cloud-based data architectures, including Data Lakehouse on Databricks. Experience with Databricks and Azure is highly desirable Source code management e.g. Azure DevOps, Git Agile delivery methodologies such as SCRUM or Kanban Knowledge and work management tools (e.g., JIRA, Confluence) Experience building More ❯

or platform teams in a production environment Proven success with modern data infrastructure: distributed systems, batch and streaming pipelines Hands-on knowledge of tools such as Apache Spark, Kafka, Databricks, DBT or similar Familiarity with data warehousing, ETL/ELT processes, and analytics engineering Programming proficiency in Python, Scala or Java Experience operating in a cloud-native environment (e.g. AWS More ❯

insurance, particularly in underwriting and claims. Apply natural language processing (NLP) for tasks like document classification and information extraction using OCR. Utilize cloud-based platforms like AWS SageMaker and Databricks for scalable model training and deployment. My client is providing access to; Hybrid 2 days (London), 28 Days Holiday, Plus Bank Holiday Private Medical Health Pension Scheme And More... This More ❯

if it’s in CPG, retail, or health) Line management experience Passion for engineering & strong track record of delivering data-driven solutions that stick Hands-on experience with AzureML, Databricks, MLOps frameworks & CI/CD A strategic, problem-solving mindset and effective communication skills A passion for collaboration, coaching, and continuous learning 🎁 What you’ll get: Hybrid working + competitive More ❯

knowledge of data modeling, warehousing, and big data platforms. Skilled communicator and team collaborator. Background in financial services, especially credit or lending data, is advantageous. Familiarity with platforms like Databricks, Snowflake, or Redshift. More ❯

About: You will lead a team of data analysts, BI business process experts and BI analysts, who will benefit from your experience in coaching and your knowledge of the data and analytics domain. The Data Fabric team will ensure that More ❯

highly skilled and experienced Platform Engineer to build and maintain the core infrastructure and tooling that empowers our data scientists, economists, and developers working on our cutting-edge Azure Databricks Economic Data Platform. This platform is critical for our Monetary Analysis, Forecasting, and Modelling activities. The Platform Engineer will focus on creating a self-service, scalable, and reliable platform that … templates, or Bicep to automate infrastructure provisioning and management. Develop and maintain platform components, such as APIs, CLIs, and web interfaces, to provide self-service capabilities to users. Azure Databricks Integration & Optimisation: Deeply integrate Azure Databricks into the platform, ensuring seamless access and efficient resource utilisation. Implement automation for Databricks workspace setup, cluster configuration, and job deployments. Optimise Databricks workloads … in PowerShell, Bash, YAML and Python. Good understanding of networking concepts and security best practices. Excellent problem-solving and troubleshooting skills. Strong communication and collaboration skills. Experience with Azure Databricks and its integration with platform tooling. Experience with configuration management tools like Ansible, Puppet, or Chef. Experience building and maintaining internal developer platforms. Experience working in a regulated industry (e.g. More ❯

maintainable coding practices. Required Technical Skills: Proven experience in data warehouse architecture and implementation. Expertise in designing and configuring Azure-based deployment pipelines. SQL, Python, PySpark Azure Data Lake+ Databricks Traditional ETL tool This is an excellant opportunity for a talented Senior Data Engineer to join a business who are looking to build a best in industry Azure data platform. More ❯

For: A proven data leader with strong people and stakeholder skills Demonstrated data transformation experience across a business – enabling enterprise-wide change Familiarity with modern data platforms such as Databricks and Power BI A collaborative, purpose-driven leader who can bring clarity, structure, and momentum to a growing team What’s on Offer: £120,000 – £130,000 base salary More ❯

segmentation, forecasting, and marketing spend optimisation. Proficiency in Python, SQL, and Git, with hands-on experience in tools like Jupyter notebooks, Pandas, and PyTorch. Expertise in cloud platforms (AWS, Databricks, Snowflake) and containerisation tools (Docker, Kubernetes). Strong leadership skills with experience mentoring and managing data science teams. Deep knowledge of media measurement techniques, such as media mix modelling. Experience More ❯

segmentation, forecasting, and marketing spend optimisation. Proficiency in Python, SQL, and Git, with hands-on experience in tools like Jupyter notebooks, Pandas, and PyTorch. Expertise in cloud platforms (AWS, Databricks, Snowflake) and containerisation tools (Docker, Kubernetes). Strong leadership skills with experience mentoring and managing data science teams. Deep knowledge of media measurement techniques, such as media mix modelling. Experience More ❯

key vaults and storage, security • MS SQL backend development experience • Experience in developing API’s in python using FastAPI/Django/Flask • Hands on in ADF and Azure Databricks With a focus within Energy Trading, Oil & Gas, Financial Markets and Commodities, we offer a transparent Recruitment Service that has proven to be reliable and effective for over 40 years. More ❯

or statistical modeling. Strong hands-on experience with ML frameworks (PyTorch, TensorFlow, Keras). Proficiency in Python and C/C++. Experience with scalable data tools (e.g., PySpark, Kubernetes, Databricks, Apache Arrow). Proven ability to manage GPU-intensive data processing jobs. 4+ years of applied research or industry experience. Creative problem-solver with a bias for action and a More ❯

validation and linkage. Experience creating BI models and dashboards, ideally in Power BI. Software development methodologies (Sprints/Agile) and project management software (Jira Software). SQL Server Database Databricks (or Alternative Modern Data Platform such as Snowflake) Knowledge of Orchestration Tools and processes (e.g SSIS, ODI, Informatica, Data Factory) Power BI Development including the data model, DAX, and visualisations More ❯

and planning, through deployment to ongoing support and maintenance. Why should you work at Microsoft Business Group? Multi Award Winning Business Official and Award-Winning Microsoft Partner Award Winning Databricks Partner Official GitHub Partner Cloud Native Organisation Growing International and Diverse teams Hugely collaborative environment, where ideas and knowledge sharing are actively encouraged Private Medical Insurance Employee Assistance Program Income More ❯

effectively and managing teams of 5-15 developers. Experience with modern technologies and data engineering platforms (Java/.NET, AWS/Azure, microservices, CI/CD pipelines, IaC, kafka, Databricks etc) as well as modern enterprise and integration architectural patterns. Excellent communication, influencing, and negotiation skills, comfortably engaging with senior stakeholders to ensure successful outcomes. Client-focused, collaborative, and pragmatic 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 ❯

Senior Solution Architect – AI & GenAI London – Hybrid Circa £550pd Outside IR35 A global Telecommunications client is looking for a Senior Solution Architect to lead the design and delivery of innovative AI and GenAI solutions across multiple domains. In this strategic More ❯

Python Data Engineer Hybrid - Bank, London (2-3 days p/w) Pays £600-£650p/d Inside IR35 Python Engineer - Python, Postgres, Azure, Databricks Oliver Bernard have partnered with a market leading cyber insurance company who are seeking a contractor to help build out their data platform. You'll be joining a high performing team working on ingesting multiple … large data sets, creating backend pipelines and providing analytics to the wider business. Python Engineer - Python, Postgres, Azure, Databricks Key Skills and Experience: Python SQL, Postgres Django, Flask Azure Databricks This role is hybrid working (2-3 days p/w in office) in Bank, central London and paying £600-£650p/d InsideIR35. Python Engineer - Python, Postgres, Azure, Databricks More ❯

Data Engineering Manager 💰 £110,000-£115,000 + 10% bonus 🖥️ Databricks, Snowflake, Terraform, Pyspark, Azure 🌍 London, hybrid working (2 days in office) 🏠 Leading property data & risk software company We are partnered with a leading property data & risk software company who contribute valuations, insights and decisioning technology to over 1 million mortgage approvals each year. They are looking for a hands … on projects that affects bottom line. You are driving their business forward, not just helping them make decisions but opening to the door to make better decisions. Tech Stack : Databricks, Azure, Python, Pyspark, Terraform. What's in it for you... 7.5% pension contribution by the company Discretionary annual bonus up to 10% of base salary 25 days annual leave + … leave Fertility Treatment Financial Support Free Calm App membership Gym on-site Cycle to work and electric car schemes Data Engineering Manager 💰 £110,000-£115,000 + 10% bonus 🖥️ Databricks, Snowflake, Terraform, Pyspark, Azure 🌍 London, hybrid working (2 days in office) 🏠 Leading property data & risk software company More ❯