326 to 350 of 1,441 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. ...

Data Analytics, Artificial Intelligence or a related field, or equivalent experience, would be effective, although practical experience is equally valuable. “Nice to Have” Azure, Databricks, Apache Spark or comparable cloud and data platforms. Data pipelines, ETL and workflow‐orchestration technologies. Machine‐learning methods such as forecasting, prediction or classification. Experience ...

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 ...

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. ...

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. ...

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 ...

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 ...

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 ...

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 ...

model artefacts using tools such as MLflow or similar. Deploy and serve ML models via REST APIs or batch inference at scale on Databricks, Snowflake or similar. Monitor model performance in production, detecting drift and degradation. Manage feature stores and ensure data pipeline reliability for ML workloads. Implement experiment tracking ...

solutions and operations, enabling ethical, scalable, and domain-driven AI adoption. We partner with industry leaders including Oracle, Salesforce, Microsoft, AWS, Snowflake, and Databricks, delivering outcomes across sectors such as Healthcare, Financial Services, Retail, Manufacturing, Higher Education, and the Public Sector. Guided by our core values of Trust, Value ...

Google Cloud. Understanding of data platforms, data governance and modern analytics architectures. Experience with enterprise BI and analytics technologies such as Power BI, Tableau, Databricks or Snowflake. Experience responding to RFPs, shaping proposals and participating in pre-sales activities. Established network within the UK Commercial & Specialty Insurance market. Experience representing ...

SupportML and GenAI infrastructure and workflows Skills and experience you need as the SeniorData Engineer: Passionfor building scalable, resilient cloud data platforms Strongexperience with Databricks or Snowflake on AWS ProvenPython skills, including Spark and Airflow expertise AdvancedSQL skills and end‐to‐end data modelling experience Experiencebuilding batch and real-time ...

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 ...

explain options, trade-offs and priorities to business and technical stakeholders. Technical fluency in data architecture, engineering and modern platforms such as Snowflake, Databricks or Microsoft Fabric/Azure. You can assess proposed approaches, challenge estimates and review designs and delivery quality with technical leads. A sound understanding of analytics ...

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 ...

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 ...

platforms.* Experience using customer and campaign data from Salesforce CRM and Salesforce Marketing Cloud.* Experience working with cloud data and analytics platforms such as Databricks and SQL/Python.* Experience working with business intelligence platforms such as Power BI or Tableau.* Experience using AI and automation to accelerate insight generation. ...

. Demonstrated experience with interpretable AI techniques. What Would Make You Stand Out: Exposure to different cloud-based data and analytics platforms (e.g. AWS, DataBricks, Snowflake). Advanced degree in a quantitative subject, e.g. Mathematics, Physics, Engineering, Data Science, Machine Learning. Experience of software engineering in an enterprise environment. ...

that business users can effectively harness data insights to drive strategic decision making. Our data strategy is centred around an enterprise Lakehouse platform on Databricks, avoiding fragmented, ungoverned silos on legacy technologies that hamper creativity and scalability. We are building a governed, interoperable data estate that enables self-service ...

Consultant, Marketing Cloud Developer, Data 360 Consultant, Marketing Cloud Email Specialist, Marketing Cloud Administrator. Migration experience from Eloqua, Marketo or HubSpot. Familiarity with Snowflake, Databricks, AWS and GCP as upstream data sources. Experience with WhatsApp, SMS and push channels, and with Marketing Cloud Personalisation. Familiarity with Agentforce, generative ...

including proficiency in Python and experience with core data science and ML libraries (e.g., scikit-learn, pandas, PyTorch or TensorFlow). Practical experience with Databricks, including MLflow for experiment tracking and model management, and Spark-based data processing. Familiarity with Generative AI concepts and tooling, including working with LLMs, prompt ...