776 to 800 of 1,626 Databricks Jobs in England

services into production. Strong Python and Java, both of which are in active use across the team's production services. Experience with Snowflake, Spark, Databricks or similar technologies, CI/CD pipelines, and modern DevOps tooling. Solid understanding of SecOps practices and security-conscious system design. Demonstrable track record ...

challenges with a practical and constructive mindset. Nice to haveStartup or scale-up experienceEnergy, utilities, trading, sustainability, or fintech experienceData visualisation experienceExperience working with Databricks or similar data platformsExperience using AI-assisted development toolsPrevious involvement in shaping engineering teams, standards, or architectureWhy joinA salary ...

people. Hands‐on cloud engineering You have built, deployed and operated systems using cloud primitives directly, not only through a data platform such as Databricks or Snowflake. Your experience might include object storage, containerised compute, batch jobs, queues, identity and permissions, networking, monitoring or infrastructure as code. ...

experience [Preferred] Specific experience with LLMs and agentic systems [Preferred] Hands-on experience with technologies in the modern AI/LLM ecosystem, such as Databricks, Langchain, or MLFlow [Preferred] Advanced understanding of the probabilistic systems underpinning modern LLMs [Preferred] Experience building AI products in highly accuracy-sensitive domains such ...

concepts to non-technical audiences. An open, curious and learning-oriented approach, with a commitment to doing great work. Nice to have: Experience with Databricks or similar platforms. Experience with HTML, JavaScript or related technologies. Exposure to supply chain, sustainability or risk-focused analytics environments. Company Benefits Hybrid working (minimum ...

Experience developing and maintaining software in line with security standards and SDLC processes. Experience with technologies such as Snowflake, MongoDB, Terraform Cloud, GitHub and Databricks would be advantageous. Key Attributes We're looking for someone who demonstrates: Strong analytical skills and exceptional attention to detail. An adversarial mindset ...

modern engineering practices Experience securing enterprise applications such as SAP, Salesforce, or Dynamics, and large-scale data platforms such as Data Lake, S3, or Databricks Knowledge of data loss prevention, data lifecycle management, and relevant regulations such as GDPR The ability to influence senior partners and provide clear technical leadership ...

innovation. Extensive experience in AI/ML algorithms, statistical modeling, and scalable data processing pipelines, with a strong background in modern data platforms (e.g. Databricks or equivalent), cloud-based technologies, data mesh architectures, and big data ecosystems. Experience with A/B experimentation, data- and metric-driven product development, cloud ...

verbalBonus Points: Experience with the Go Lang eco-system tools and librariesExperience with Pandas and PySpark libraries would be a plusTechnical experience with Databricks or any similar Delta Lake platforms. Experience working with large datasetsExperience with AWS cloud deployments and APIExperience with Docker and KubernetesFamiliarity with financial statements (e.g. balance ...

concepts to non-technical audiences. An open, curious and learning-oriented approach, with a commitment to doing great work. Nice To Have Experience with Databricks or similar platforms. Experience with HTML, JavaScript or related technologies. Exposure to supply chain, sustainability or risk-focused analytics environments. Company Benefits Hybrid working (minimum ...

financial services, insurance, manufacturing, healthcare and life sciences, public sector, automotive, or commercial sectors.Familiarity with OpenAI, Anthropic, Mistral, Google/Gemini, Microsoft, AWS, GCP, Databricks, Snowflake, and other AI ecosystem partners.Strong executive presence, negotiation skills, commercial creativity, stakeholder orchestration, resilience, and ability to lead through influence in a matrixed environment.Ability ...

senior leaders, cross-functional partners, and non-technical stakeholdersWorking knowledge of cloud-based data and machine learning platforms such as AWS, Azure, GCP, and Databricks, as well as the broader ecosystem used to build and deploy AI and ML productsDeep expertise in artificial intelligence, with a track record of implementing ...

models using SQL (python would be advantageous) and sophisticated Excel/GoogleSheet/Google AppScripts tools. Exposure to software (or equivalent software) such as Databricks, Snowflake, N8N, Workday Adaptive Planning, Tableau etc would also be an advantage. Experience developing advanced analytics with an exceptional ability to interpret and present financial ...

leaders, cross-functional partners, and non-technical stakeholders Working knowledge of cloud-based data and machine learning platforms such as AWS, Azure, GCP, and Databricks, as well as the broader ecosystem used to build and deploy AI and ML products Deep expertise in artificial intelligence, with a track record ...

leaders, cross-functional partners, and non-technical stakeholders Working knowledge of cloud-based data and machine learning platforms such as AWS, Azure, GCP, and Databricks, as well as the broader ecosystem used to build and deploy AI and ML products Deep expertise in artificial intelligence, with a track record ...

Computer Science, a related field, or equivalent industry experienceNice to Have: Experience founding or scaling an FDE/solutions engineering function. Technical founder background. Databricks, AWS Bedrock, or Temporal experience. Deep domain knowledge in healthcare, financial services, or government. Agent framework contributions (Strands SDK, LangChain, open-source MCP servers).Proficiency ...

/or implement data governance recommendations based on a client’s needs, priorities, and environment Hands on experience working in a data governance technology (Databricks Unity Catalog, Microsoft Purview, Alation, Atlan, Collibra and Ataccama) Experience with defining and initiating Data Governance strategies, frameworks, operating models, and workflow processes Experience with ...

/or implement data governance recommendations based on a client’s needs, priorities, and environment Hands on experience working in a data governance technology (Databricks Unity Catalog, Microsoft Purview, Alation, Atlan, Collibra and Ataccama) Experience with defining and initiating Data Governance strategies, frameworks, operating models, and workflow processes Experience with ...

Science. These are some technologies that our Data Scientists use (we don't expect applicants to have experience with all of these):Python and Databricks for Data Science, Spark, MLFlow and Airflow for ML Workflows, Google Cloud Platform for our analytics infrastructure, dbt and BigQuery for data modelling and warehousing. ...

content in commercial terms for non-technical stakeholders, such as customers, sales and product teams Desirable B2B product experience Experience with Spark SQL, PySpark, databricks Experience with CausalAI modelling frameworks (e.g. dowhy, econml) Diversity & Inclusion Intent HQ is an equal opportunities employer with an ethos of commitment to promoting ...

focus on writing clean, modular, and reusable code.Nice-to-HavesData Modelling Expertise: Practical experience with Star Schema and Kimball methodologies.Modern Data Stack: Experience using Databricks for processing and dbt for transformation workflows.Global Delivery: Experience building data products designed for multi-region or multi-client environments.Kaluza ValuesHere at Kaluza we have ...

innovation. Extensive experience in AI/ML algorithms, statistical modeling, and scalable data processing pipelines, with a strong background in modern data platforms (e.g. Databricks or equivalent), cloud-based technologies, data mesh architectures, and big data ecosystems. Experience with A/B experimentation, data- and metric-driven product development, cloud ...

financial services, healthcare, retail, energy, aviation, and the public sector, and partner with some of the world’s leading technology providers, including Microsoft, Snowflake, Databricks, and Collibra. What sets us apart is how we build capabilities and careers alongside the solutions we deliver. Through continuous learning, hands-on experience ...

. Experience with multiple ways to persist contextual data, e.g., knowledge graphs and hierarchical indexes. Experience with other types of large data solutions, e.g., Databricks and Snowflake. Experience with authentication/authorization systems (Zanzibar, Authz, etc.). Experience scaling technical products at hyper-growth startups. PLEASE NOTE: Our policy requires ...

Data & AI - Seen as a credible thought partner to CXOs, with strong understanding of Data, AI, Analytics and tech ecosystems (AWS, Azure, GCP, Databricks, Palantir), enabling articulation of value, limitations, and ROI while influencing strategic decisions and guiding Data & AI‐led transformation EXL Differentiation - Position EXL as a Data ...