301 to 325 of 1,492 Databricks Jobs

lifecycle management, deployment automation, experiment tracking, monitoring, governance, and machine learning pipelines. Proven experience working with cloud platforms and modern engineering practices, including Azure, Databricks, CI/CD pipelines, version control, and DevOps methodologies. The ability to design, build, deploy, and support scalable, secure, reliable, and production-grade AI solutions. ...

work effectively in a collaborative, cross-functional team. Experience with data engineering concepts such as ETL/ELT pipelines or data platforms like Databricks and Azure Data Factory would be an advantage, as would familiarity with event-driven architectures or message queues, experience with scientific, geospatial or time-series data ...

Statistics, Econometrics, Data Science, Economics, Applied Mathematics, Marketing Analytics, or related field. Strong proficiency in Python, R, SQL, or similar tools. Experience with Databricks, Azure, or other cloud/data platforms is a plus. Solid understanding of econometrics, regression analysis, Bayesian statistics, or other advanced modelling techniques. Experience translating data ...

support your development): Experience with using data platforms, programming languages and AI tools, such as Alteryx, Knime, Power BI, Microsoft Fabric, Tableau, Databricks, Snowflake, Microsoft Purview, Collibra, Informatica, Claude, Microsoft Copilot, Python and SQL among others, to deliver practical and impactful analytics assurances and solutions. Experience of scoping, delivering ...

lifecycle management, deployment automation, experiment tracking, monitoring, governance and machine learning pipelines. Proven experience working with cloud platforms and modern engineering practices, including Azure, Databricks, CI/CD pipelines, version control, and DevOps methodologies. The ability to design, build, deploy, and support scalable, secure, reliable, and production‐grade AI solutions. ...

Preferred: Experience working in gaming, digital products, consumer technology, e‐commerce or subscription businesses. Familiarity with modern data engineering and analytics tooling such as Databricks, Snowflake, Git and Airflow. Experience with modern business intelligence and data visualisation tools such as Tableau, Domo or Power BI. Experience applying AI tools, including ...

executives Commitment to inclusive, collaborative teamwork Strong problem-solving and analytical skills Preferred qualifications, capabilities, and skills Experience with modern data platforms such as Databricks or Snowflake Hands-on expertise with Spark/PySpark and big data processing technologies Knowledge of open-source table formats and catalog services such ...

application, integration, and technology architectures with material experience in business architecture. Strong knowledge of enterprise data platforms, public cloud services (e.g., Amazon Web Services, Databricks, Microsoft Azure, ServiceNow), and application, data, process, service, and system integration toolsets. Experience supporting Master Data Management, Data Governance, and Analytics initiatives. Experience of understanding ...

capability across a range of technologies, including products from SAP, Oracle, IBM and Microsoft as well as more specialist technology providers such as Snowflake, Databricks, Cloudera and Infoshare. Atos work with a range of large organisations facing an ever‐increasing demand to realise greater value from their data ...

Economics, Applied Mathematics, Business Analytics, Marketing, or a related analytical field. Strong technical proficiency in Python, R, SQL, or similar analytics tools; experience with Databricks, Azure, or other cloud/data platforms is a plus. Experience or willingness to learn visualisation tools such as PowerBi and Tableau Experience building ...

model risk management, and regulatory requirements within financial services. Exposure to modern AI-native platforms and frameworks including Azure AI Foundry, Vertex AI, Bedrock, Databricks, or Palantir. Strong consulting and problem-solving mindset. Ability to balance strategic architecture with hands-on technical delivery. Excellent communication and presentation skills. Commercially aware ...

foundations of our ML lifecycle. What you’ll be doing Build and maintain ML pipelines for training, evaluation, and deployment using tools like Databricks, MLFlow, Airflow, DBT, Sagemaker, Tecton Support AI scientist creating reproducible, containerized model training environments (on-demand and scheduled), and manage compute at scale (e.g., spot/ ...

Experience serving as an application owner, site reliability engineer, production management lead, or technology risk and controls partner in a regulated environment Familiarity with Databricks and cloud data-lake patterns using object storage as a core data store Experience driving remediation of security findings and coordinating coordinated upgrades across frameworks ...

environment that deeply cares about its values. To use a range of different tools and technologies depending on the specific task, these include: Databricks, Python, PySpark, R, Excel, Palantir Foundry, SQL and PowerBI. Qualifications Even if you don’t meet every requirement below, feel free to still apply ...

platform at scale, ideally in a consumer or marketplace environment. Deep understanding of distributed systems and modern data ecosystems — including extensive experience with Databricks, Apache Spark, Apache Kafka, Apache Flink, Apache Beam and DBT. Demonstrated success in designing, building, and operating data platforms at scale, encompassing both batch processing ...

solving skills with the ability to work across software, data, cloud, and connected-product teams Desirable Experience with Azure IoT services, Azure Data Explorer, Databricks, containerisation, APIs, or cloud-native application deployment Experience with infrastructure as code, automated testing, observability, logging, or platform monitoring Awareness of MLOps concepts such ...

least one major cloud provider (AWS, Azure, or GCP). Hands-on expertise in scalable data pipelines and cloud data platforms like Snowflake, Databricks, Redshift, or BigQuery, alongside familiarity with the broader Matillion product estate. Disciplined use of AI tools across the delivery process with the ability to validate output ...

event, longitudinal, and multivariate outcomes Proven expertise in AI/ML and proficiency in Python, R, SQL, and cloud platforms (e.g., AWS, Azure, Databricks) Deep familiarity with clinical trial design, drug development processes, and the role of biomarkers and data science in regulatory and clinical decision-making Demonstrated ability ...

related technical discipline. Preferred Qualifications: To support our strategic roadmap, we would value hands‐on knowledge of cloud data stacks (eg Snowflake, Databricks, BigQuery, AWS/Azure/GCP data services) and enterprise BI software (e.g., Power BI, Tableau, Looker), and the relevant application of modern AI frameworks, LLM integration ...

operational story. Data engineering & processing systems: You have built, operated, or supported production data pipelines using distributed processing systems such as Apache Spark or Databricks, and understand common failure modes, performance tradeoffs, and operational challenges in batch and hybrid pipelines. Data platforms & analytics systems: You have hands‐on experience with ...

related technical discipline.## **Preferred Qualifications:*** ## To support our strategic roadmap, we would value hands-on knowledge of cloud data stacks (eg Snowflake, Databricks, BigQuery, AWS/Azure/GCP data services) and enterprise BI software (e.g., Power BI, Tableau, Looker), and the relevant application of modern AI frameworks ...

Book, Better Business Cases, MSP, Agile delivery, TOGAF, SAFe or equivalent strategy/transformation methods. Experience advising on Microsoft Fabric, Azure, AWS, Google Cloud, Databricks, Snowflake, Microsoft Copilotor enterprise data platforms. Experience building new consulting propositions or scaling a consulting capability. Experience working in multi-supplier, client-side advisory ...

Identity management Software Engineering Python REST APIs Git CI/CD Containers Infrastructure as Code Testing AI systems Platform Engineering Kubernetes Azure AI Foundry Databricks Microsoft Fabric Snowflake MLOps/LLMOpstooling Consulting competencies TheAISolutionArchitect should be able to: Facilitate AI discovery workshops. Identify and prioritise business use cases. Estimate business ...

large language models Experience with experiment design and conducting A/B tests Experience building shared or platform-style ML systems Experience with Databricks and PySpark Experience working with AWS or another cloud platform (GCP/Azure) Additional Information Health + Mental Wellbeing PMI and cash plan healthcare access with ...

scaffolder templates, or plugin development* Familiarity with data platform concepts - medallion architecture, lakehouse patterns, or orchestration tools such as Airflow or dbt* Exposure managing Databricks* Practical experience with AI coding assistants (Claude Code, GitHub Copilot, Cursor, or similar) in a professional engineering context* Experience working in regulated financial services environments ...