226 to 250 of 719 Remote Databricks Jobs

concepts and GenAI frameworks (e.g., LangChain, Hugging Face) and cloud-native AI services (AWS, Azure or GCP) Knowledge of MLOps practices and tools like Databricks or MLflow Ability to tackle ambiguous problems with structured, analytical approachesStrong verbal and written communication skills for technical and executive audiences Experience in hybrid consulting ...

Strong stakeholder engagement and communication skills. Experience operating within governance and assurance frameworks. Desirable experience includes: TOGAF and/or ITIL certification. Microsoft Fabric, Databricks or data platform certifications. Experience within nuclear, construction, infrastructure or other highly regulated environments. Knowledge of Information Governance and Records Management. Experience supporting AI, automation ...

optimisation.* AI observability and evaluation.**Preferred Certifications*** Google Cloud AI/ML or Vertex AI certification.* Azure AI Engineer or AWS Machine Learning certification.* Databricks, BigQuery, or data engineering certification.* Kubernetes certification.* TM Forum Autonomous Networks or Open API certification.**Nice-to-Have Qualifications*** Experience with Google Vertex AI, Gemini ...

extraction, transformation, and pipeline development. Experience with dashboarding and visualisation tools (e.g., Tableau, Qlik, or similar). Familiarity with big data tools (e.g., Snowflake, Databricks, Spark) and ETL processes. Proven ability to communicate analytical findings in clear, actionable narratives for both technical and non-technical audiences. Strong problem-solving skills ...

features.Expertise with cloud computing platforms (AWS, GCP, or Azure) and containerisation tools (e.g., Docker, Kubernetes).Expertise with modern data platforms (e.g., BigQuery/Databricks) and data processing workflows (ETL, pipelines).Excellent experience with cloud hosted AI platforms (Bedrock, Sagemaker, VertexAI)Strong problem-solving abilities, with the capacity to learn quickly ...

Expertise with cloud computing platforms (AWS, GCP, or Azure) and containerisation tools (e.g., Docker, Kubernetes). Expertise with modern data platforms (e.g., BigQuery/Databricks) and data processing workflows (ETL, pipelines). Excellent experience with cloud hosted AI platforms (Bedrock, Sagemaker, VertexAI) Strong problem-solving abilities, with the capacity ...

features. Expertise with cloud computing platforms (AWS, GCP, or Azure) and containerisation tools (e.g., Docker, Kubernetes).Expertise with modern data platforms (e.g., BigQuery/Databricks) and data processing workflows (ETL, pipelines).Excellent experience with cloud hosted AI platforms (Bedrock, Sagemaker, VertexAI)Strong problem-solving abilities, with the capacity to learn ...

governance stakeholders to establish common definitions, terminology and semantic alignment.* Supporting the implementation of enterprise semantic architectures across modern data platforms, including Snowflake, Databricks and associated metadata ecosystems.* Collaborating closely with manufacturing SMEs, solution architects, data engineers and governance teams to ensure enterprise-wide consistency and reuse of semantic assets. ...

supporting enterprise-scale data platforms, pipelines and integration solutions, with a proven track record delivering successful data transformation initiatives. Strong technical expertise in Azure, Databricks, T-SQL and modern cloud-based data technologies, with a solid understanding of data architecture, integration patterns and governance principles. Demonstrated ability to develop technical ...

changed how you work, not just how fast. We expect you to enjoy leveraging AI and agentic systems to operate more effectively.Tech environmentScala | Spark | Databricks | AWS | Claude | Airflow | Kubernetes | Terraform | Functional ProgrammingYou will thrive here if youEnjoy end-to-end ownership, from writing the code to architecture design to coaching ...

leading cloud-based data platforms and production-grade data workflowsWorking with data pipelines, data modelling, orchestration and modern cloud data tools such as Databricks, BigQuery, Spark or similarEvent-driven or streaming data patterns, as well as more traditional operational, legacy or non-event-driven data environmentsDesigning reliable, observable and well ...

Experience designing and enforcing data contracts and quality SLAs in distributed data ecosystems. Proficiency in Python, Java, or Scala, and experience building pipelines with Databricks, Spark, or Kafka. Strong understanding of data governance principles, privacy regulations (GDPR, CCPA), and secure data handling practices. Familiarity with metadata management and data catalog ...

work, not just how fast. We expect you to enjoy leveraging AI and agentic systems to operate more effectively. Tech environmentScala | Spark | Databricks | AWS | Claude | Airflow | Kubernetes | Terraform | Functional ProgrammingYou will thrive here if youEnjoy end-to-end ownership, from writing the code to architecture design to coaching others through ...

Statistics, Econometrics, Data Science, Economics, Applied Mathematics, Marketing Analytics, or related field. Proficient in Python, R, SQL, Excel, and visualisation tools; experience with Databricks, Azure, or other cloud/data platforms is a plus. Strong understanding of econometrics, regression, Bayesian statistics, and advanced modelling techniques. Skilled in handling large datasets ...

Statistics, Econometrics, Data Science, Economics, Applied Mathematics, Marketing Analytics, or related field.· Proficient in Python, R, SQL, Excel, and visualisation tools; experience with Databricks, Azure, or other cloud/data platforms is a plus.· Strong understanding of econometrics, regression, Bayesian statistics, and advanced modelling techniques.· Skilled in handling large datasets ...

team structures, governance, platforms and ways of working. Working knowledge of modern data and reporting platforms, such as Power BI, Tableau, Snowflake, Microsoft Fabric, Databricks or similar. Strong communication skills, with the ability to simplify complexity and tell a clear story from data. Experience leading client engagements, managing teams ...

DCAM, EDM Council, ISO 8000, ISO 27001, ISO15489or equivalent data/information management frameworks. Experience with Microsoft Purview, Collibra, Informatica,Ataccama, Alation, Azure, AWS, Databricks, Snowflake, MicrosoftFabricor similar platforms. Experience working with DPOs, SIROs, CISOs, enterprise architects, data platformteamsand business data owners. Experience with GDPR, Data Protection Act 2018, Freedom ...

following areas: Platform engineering: building reusable software foundations, internal developer platforms, and infrastructure that other teams build on Data Engineering: including platforms like Databricks for data processing and analytics Delivering production agentic systems, including RAG pipelines, vector search, and agentic frameworks such as LangChain, LlamaIndex, CrewAI, AutoGen, and n8n DevSecOps ...

/CD, model versioning, automated testing, retraining, monitoring and reproducible delivery.Experience using cloud platforms and data science environments such as Azure, AWS, GCP, Databricks or equivalent to build and deploy scalable ML solutions.Strong communication, stakeholder management and problem-solving skills, with the ability to explain complex modelling approaches, trade-offs ...

/CD, model versioning, automated testing, retraining, monitoring and reproducible delivery.Experience using cloud platforms and data science environments such as Azure, AWS, GCP, Databricks or equivalent to build and deploy scalable ML solutions.Strong communication, stakeholder management and problem-solving skills, with the ability to explain complex modelling approaches, trade-offs ...

/CD, model versioning, automated testing, retraining, monitoring and reproducible delivery.Experience using cloud platforms and data science environments such as Azure, AWS, GCP, Databricks or equivalent to build and deploy scalable ML solutions.Strong communication, stakeholder management and problem-solving skills, with the ability to explain complex modelling approaches, trade-offs ...

/CD, model versioning, automated testing, retraining, monitoring and reproducible delivery.Experience using cloud platforms and data science environments such as Azure, AWS, GCP, Databricks or equivalent to build and deploy scalable ML solutions.Strong communication, stakeholder management and problem-solving skills, with the ability to explain complex modelling approaches, trade-offs ...

/CD, model versioning, automated testing, retraining, monitoring and reproducible delivery.Experience using cloud platforms and data science environments such as Azure, AWS, GCP, Databricks or equivalent to build and deploy scalable ML solutions.Strong communication, stakeholder management and problem-solving skills, with the ability to explain complex modelling approaches, trade-offs ...

partners, and it moves faster than a normal product organisation is allowed to.inference workloads Data foundations: pipelines and lakehouse patterns (Microsoft Fabric/OneLake, Databricks, or equivalents), streaming and event-driven integration where the problem demands it Enterprise integration: API design and consumption at scale, including REST, OData, GraphQL ...

with a demonstrable record of originating and selling work. Desirable experience Hands‐on delivery experience with one or more major cloud and data platforms - Databricks, Microsoft Azure, AWS, GCP or Snowflake - and familiarity with the wider AI ecosystem including OpenAI, Anthropic and Google Experience designing semantic layers, data products ...