526 to 550 of 866 Databricks Jobs in England

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 ❯

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 ❯

Solutions Architect (Resident Solutions Architect) in our Professional Services team, you will work with clients on short to medium-term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get the most … customer projects which leads to a customers' successful understanding, evaluation, and adoption of Databricks. Provide an escalated level of support for customer operational issues. You will work with the Databricks technical team, Project Manager, Architect, and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support … delivery - managing scope and timelines. Documentation and white-boarding skills. Experience working with clients and managing conflicts. Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel to customers 30% of the time. Databricks Certification. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide More ❯

At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and … into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Databricks Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create … make a better world! Reporting to Manager, Field Engineering. The impact you will have: Form successful relationships with clients throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives. Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a 'champion' and trusted advisor on multiple More ❯

technical background but has recently worked in a managerial role focused on mentoring, coaching, reviewing code, and standard setting. The role will focus on the development of the clients Databricks platform (AWS is preferred but open to Azure.GCP experience also), utilising Python and SQL, contribute to CI/CD pipelines, strategy development, cost optimisation and data governance frameworks. Job duties … engineers, helping to mentor and coach the team. Manage the adoption of automated CI/CD pipelines. Implement a new delivery roadmap. Contribute to the development of a new Databricks system in AWS (AWS experience is preferred but they are open to managers with Azure experience). Cost optimisation. Establish data governance frameworks for secure handling of delivery information. Requirements … Manager: 6+ years experience in a hands on data engineer role, with over a years recent experience in a managerial role, coaching similar sized teams. Deep knowledge of the Databricks platform. Hands on Python development experience. SQL optimisation. Experience with large scale data pipeline optimisation. Experience with Streaming and Batch Spark workloads. Strong people management skills. Role: Data Engineering Manager 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 ❯

This position is part of the Scaled Analytics Product Management team, helping to build on our market-leading data platform capabilities powered by Databricks. You'll focus on leveraging Databricks to build the infrastructure that rapidly launches customer-facing analytics products, and you'll work closely with other product managers to enable both our Analytics Engineering and Analytics Distribution efforts. … Responsibilities: Drive 3-, 6-, and 12-month product roadmap for Analytics Engineering Be the SME for Databricks for the Analytics business Provide and present insights into the latest industry trends affecting our data platform and customers Collaborate with other PMs in Distribution and asset class specific product areas to ensure platform meets their needs Support migrations from legacy data engineering … platforms to Databricks Maintain a well-groomed product backlog Partner with Engineering and QA leads to estimate work for each sprint and review items before launch Contribute to internal and external product knowledge-sharing activities (training guides, FAQs, documentation) Requirements : Bachelor's degree in Computer Science, Engineering, or equivalent work experience 3-5 years of product management with a focus 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 ❯

stack Python (pandas, NumPy, scikit-learn, PyTorch/TensorFlow) SQL (Redshift, Snowflake or similar) AWS SageMaker → Azure ML migration, with Docker, Git, Terraform, Airflow/ADF Optional extras: Spark, Databricks, Kubernetes. What you'll bring 3-5+ years building optimisation or recommendation systems at scale. Strong grasp of mathematical optimisation (e.g., linear/integer programming, meta-heuristics) as well … containerise models, deploy via Airflow/ADF, monitor drift, automate retraining. Soft skills: clear comms, concise docs, and a collaborative approach with DS, Eng & Product. Bonus extras: Spark/Databricks, Kubernetes, big-data panel or ad-tech experience. 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 ❯

and application workload management. Proficiency in object-oriented development techniques. Understanding of modern data processing architectures such as Data Lakehouse. Experience in data engineering technologies such as Apache Spark, Databricks, Python, and Scala. Experience working collaboratively as part of an Agile development squad. Degree in Computer Science or related subject. Bonus Points: Experience in the analytics industry. Experience using Azure … cloud environment for DevOps and application architecture development. Experience in projects using Azure Databricks data platform. Experience with managing and coaching developers. What We Offer: Competitive salary up to £80,000 + 10% bonus. Hybrid working in Manchester city centre. Opportunity to work on a platform with real impact. Mirai believes in the power of diversity and the importance of More ❯

and claims administration systems data to be delivered as part of a key strategic program. Technical leader for the development and delivery of the new Underwriting Datamart based on Databricks platform. Champion the adoption of Cloud computing for Underwriting, driving seamless integration and best practices. Develop and maintain automated ETL pipelines to increase efficiencies within the target operating model (TOM … of managing data teams and/or projects with strong stakeholder management skills. Programming experience essential with direct exposure to Python and SQL. An understanding and experience of the Databricks platform desirable. Experience of working with, and knowledge of, Data Science practices desirable. Experience of automation and CI/CD pipelines desirable. Self-starter and resolves complex problems without direct More ❯

lake architectures, and data analytics solutions. Ensure best practices in data management, data integration, and data security are adhered to throughout the project lifecycle. Collaborate with AWS, Azure, GCP, Databricks, and Snowflake experts to leverage cloud capabilities and ensure optimal performance of data solutions. Stakeholder Management: Act as the primary point of contact for clients, providing regular project updates and … understanding of data architectures, data integration, and data analytics. Experience with cloud platforms including AWS, Azure, and Google Cloud Platform (GCP). Experience migrating On prem data platforms to Databricks and Snowflake for data engineering and analytics. Experience with SAP systems and SAP HANA is a plus. Excellent project management skills, with proficiency in project management tools (e.g., MS Project More ❯

to improve the pricing and products we offer to our customers and brokers. Our team values continuous learning, you can enjoy free access to top training platforms like DataCamp, Databricks Academy, and LinkedIn Learning. Additionally, we host Lunch and Learn sessions on key business topics hosted by experts across the team and monthly insight sessions, including the Data Science Forum … reporting by providing a consistent view. Getting hands-on with data from its source right through to analysis and reporting, choosing the right software tool for the job, including Databricks (SQL and Python) and from time-to-time Willis Towers Watson software tools Radar Optimiser, Radar Live, and Emblem Essential Skills We don't expect you to know everything from More ❯

to improve the pricing and products we offer to our customers and brokers. Our team values continuous learning, you can enjoy free access to top training platforms like DataCamp, Databricks Academy, and LinkedIn Learning. Additionally, we host Lunch and Learn sessions on key business topics hosted by experts across the team and monthly insight sessions, including the Data Science Forum … reporting by providing a consistent view. Getting hands-on with data from its source right through to analysis and reporting, choosing the right software tool for the job, including Databricks (SQL and Python) and from time-to-time Willis Towers Watson software tools Radar Optimiser, Radar Live, and Emblem Essential Skills We don't expect you to know everything from More ❯

to improve the pricing and products we offer to our customers and brokers. Our team values continuous learning, you can enjoy free access to top training platforms like DataCamp, Databricks Academy, and LinkedIn Learning. Additionally, we host Lunch and Learn sessions on key business topics hosted by experts across the team and monthly insight sessions, including the Data Science Forum … reporting by providing a consistent view. Getting hands-on with data from its source right through to analysis and reporting, choosing the right software tool for the job, including Databricks (SQL and Python) and from time-to-time Willis Towers Watson software tools Radar Optimiser, Radar Live, and Emblem Essential Skills We don't expect you to know everything from More ❯

platform initiative. This is a greenfield opportunity to shape the architecture and engineering of a cutting-edge data solution from scratch. You'll be working with modern technologies like Databricks, Snowflake, and the latest in AWS data tooling, helping to solve complex data challenges that have wide-reaching impact across multiple business domains. Key Requirements: Strong experience in AWS data More ❯

environment Experience working across a range of tools: o Digital analytics tools (Google Analytics or equivalent) o Visualisation tools (Looker Studio, Power BI or equivalent) o SQL environments (BigQuery, Databricks or equivalent) Excellent analytical skills with the ability to draw concise insights across multiple data sets Strong stakeholder engagement and ability to work collaboratively across different teams Comfortable working across 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 ❯

/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 ❯

Tech Stack: 🛠 Strong SQL essential 📊 Data visualisation (Power BI preferred) 🐍 Python experience desirable 🧱 Exposure to CDPs and cloud platforms a plus - they're launching Amperity and have an advanced Databricks environment where their single customer view and data science models sit Why This Role? 🚀 Work in a business investing heavily in data, digital, and customer experience 💡 Lead the analysis of 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 ❯

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 ❯

/Tech Lead Certain Advantage are recruiting on behalf of our global energies trading client in London for a Principal Data Engineer who can offer demonstrable experience in: *Technologies* - Databricks (DLT, Performance Tunning, Cost Optimization ), PySpark, Python, SQL, ADF. *Capabilities* – leading a data engineering team, being technically hands on and drive a project to completion, experience running a scrum team. More ❯