251 to 275 of 514 Remote/Hybrid Databricks Jobs

numerical field, hands-on experience with supervised, unsupervised and deep learning, and proficiency in Python and SQL. Cloud experience with Azure/Databricks is highly valued, as is responsible AI. #J-18808-Ljbffr ...

numerical field, hands-on experience with supervised, unsupervised and deep learning, and proficiency in Python and SQL. Cloud experience with Azure/Databricks is highly valued, as is responsible AI. #J-18808-Ljbffr ...

shape data-driven decisions across customer experience, pricing and operations. You will build and deploy ML models using Python, PySpark, SQL and Azure Databricks, profile large datasets and translate insights into actions for stakeholders. You will collaborate with data engineers and ML engineers in a small, agile team, supporting hybrid ...

seeking a QA-focused data specialist to own the testing of client data platform deployments. You will design and execute structured test programmes for Databricks pipelines, validate data quality across bronze–silver–gold stages, and ensure accuracy and completeness of analytics data. You will work with AI-assisted tooling ...

have developed and sold analytical propositions Degree, MSc or PhD in data science, mathematics, OR, physics or statistics Hands-on credibility with Python, SQL, Databricks, PySpark, Palantir Foundry or R Security: British Citizenship or 5+ years' continuous UK residency required. The package: technical career progression, training budget, hybrid working, pension ...

skills Ability to operate independently and translate business challenges into practical technical solutions Desirable Experience for the Senior AI Engineer: Experience with Snowflake or Databricks Experience developing shared AI platforms and model routing solutions Experience supporting AI adoption across nontechnical business functions Previous full stack development experience #J-18808-Ljbffr ...

data extraction, transformation, and pipeline development Experience with dashboarding and visualization tools (Tableau, Qlik, or similar) Familiarity with big data tools (Snowflake, Databricks, Spark) and ETL processes Experience with Python or R for advanced analytics, automation, or experimentation support preferred Knowledge of statistical methods and experimentation (A/B testing ...

data extraction, transformation, and pipeline development Experience with dashboarding and visualization tools (Tableau, Qlik, or similar) Familiarity with big data tools (Snowflake, Databricks, Spark) and ETL processes Experience with Python or R for advanced analytics, automation, or experimentation support preferred Knowledge of statistical methods and experimentation (A/B testing ...

with flexibility around client needs. Private health insurance. Projects with global brands & public sector leaders, working on real-world impact. Exclusive access to AWS & Databricks certifications, training, and partner tools. A collaborative culture of technical excellence and continuous learning. Competitive salary, bonus structure, and long-term growth opportunities. #J ...

constructive mindset. Nice to have Startup or scale-up experience Energy, utilities, trading, sustainability, or fintech experience Data visualisation experience Experience working with Databricks or similar data platforms Experience using AI-assisted development tools Previous involvement in shaping engineering teams, standards, or architecture Why join A salary ...

Solid software engineering skills in Python, with an understanding of how to write maintainable, testable code Familiarity with ML tooling and platforms such as Databricks, MLflow, Airflow, or equivalent Familiarity with CI/CD pipelines and how they apply to ML systems An understanding of ML lifecycle challenges - versioning, testing ...

Data, or related fields. Technical Knowledge: Strong understanding of modern AI/ML technologies and cloud-based solutions. Tools & Platforms: Familiarity with Snowflake, Databricks, Azure AI Foundry , AWS SageMaker, and other leading platforms. Data Science Expertise: Knowledge of data science fundamentals, solution lifecycles, and MLOps methodology. Generative AI Knowledge: Experience ...

chemistry, pharmacy, bioengineering or related sciences Deep IT technical expertise in designing data foundation environments with the latest technologies. Mandatory hands‐on experience with databricks/snowflake configuration/pipeline implementation and data catalogues. Experience in information architecture design for global digitalization programs in a research and early development context. ...

JPMorgan Chase.Sigma announced its $80M in Series E financing in May 2026. The round was led by Princeville Capital, with new strategic investors Databricks Ventures, ServiceNow Ventures, and Workday Ventures participating alongside returning investors Altimeter Capital, Avenir Growth Capital, D1 Capital Partners, K5 Global, NewView Capital, Spark Capital, Sutter Hill ...

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). ...

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 ...

Direct exposure to Electronic Lab Notebooks (ELN), LIMS, CMC, or laboratory data management platforms. Modern Cloud Data & AI Stack: Familiarity with AWS Bedrock, OpenSearch, Databricks, or Model Context Protocol (MCP) tool integrations. Quantitative AI Evaluation: Experience operationalizing automated evaluation harnesses and prompt-testing pipelines (e.g., Ragas, TruLens, or custom benchmark ...

across PostgresDB and MongoDB databases. Cloud & Platform Operations: Support the deployment and monitoring of application environments hosted on Microsoft Azure, Container App Environments, and Databricks under supervision. AI & Continuous Integration Workflows: Assist in integrating AI/LLM capability workflows (such as Claude and Gemini) into existing services, utilizing Azure DevOps ...

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 ...

work. We're technology-agnostic but technology-deep. We hold premium partnerships with the platforms shaping this industry, including Google, Anthropic, OpenAI, Databricks, and AWS, giving our consultants direct access to the newest capabilities before they reach the mainstream. Half of our projects involve collaboration across more than two offices ...

roadmaps, standards, reference patterns, guardrails and work packages. Maintain coherence across EFC’s strategic platforms and domains, including Azure, SAP and SAP BTP, ServiceNow, Databricks, the DRS core, integration services, RVM connectivity and external retailer and supplier interfaces. Operate the day-to-day Architecture and Technical Design Authority within delegated ...

practice. Nice to have Experience integrating with AI/ML systems or model-serving infrastructure. Exposure to enterprise data platforms (for example Palantir Foundry, Databricks or Snowflake). Observability tooling (Prometheus/Grafana, ELK/OpenSearch). Container orchestration (Kubernetes, ECS) and infrastructure as code. Experience in regulated, safety-critical ...

ingestion pipelinesto handle data movement, transformation and visualisations from structured andunstructured sources. Have experiencewith the Azure Platform including: DataIngestion: Azure Data Factory (ADF), Databricks, Logic Apps and Function App DataStorage: ADLS, SQL Server and Unity Catalog (Medallion Architecture) Strongunderstanding of the Databricks Platform including managing, developing anddeploying workflows, jobs ...

data engineering, with real ownership of production pipelines Strong SQL and Python, plus hands-on Git Production experience with at least one of Databricks, Snowflake, Azure Data Factory, AWS Glue, Apache Airflow or PySpark Cloud-native orchestration and distributed data processing Infrastructure as code (e.g. Terraform) CI/… warehouse and lakehouse Clear communication, with the ability to explain technical decisions to non-technical stakeholders Nice to have Azure, AWS or GCP certifications Databricks, Snowflake or similar certifications Experience leading large-scale data engineering projects What's on offer £60,000 to £75,000 base salary Hybrid working with ...

Technology & Engineering | Type: Permanent Engineer advanced data solutions at scale in a world-class consulting environment The Role As a Senior Azure Data Engineer (Databricks) at Capco, you will play a hands‐on role in designing, building, and deploying scalable and secure data engineering pipelines using the Databricks platform … strategic technical solutions Champion clean code, data lifecycle optimisation, and software engineering best practices What We’re Looking For Proven hands‐on experience with Databricks platform and orchestration Strong skills in Python, PySpark, and SQL, with knowledge of distributed data systems Expertise in developing full lifecycle data pipelines across ingestion ...