126 to 150 of 514 Remote/Hybrid Databricks Jobs

reliable cloud service delivery. Experience supporting SQL platforms, data services or cloud-based data workloads. Experience managing Microsoft Fabric and/or Azure Databricks environments. Strong technical design, documentation and secure architecture skills. A collaborative approach, with the ability to work effectively with technical specialists and wider business stakeholders. Desirable ...

APIs; test automation; data structures; distributed processing; Git; CI/CD; containers; infrastructure awareness; production debugging and performance optimization. Data engineering: Spark or Databricks, Kafka or equivalent streaming, ETL/ELT, batch and real-time pipelines, data contracts, lineage, cataloguing, quality rules, and scalable cloud storage. Cybersecurity: SOC workflows, threat ...

proactive approach to learning. Curiosity about the wider BI landscape and openness to tools and capabilities beyond Power BI, including platforms such as Databricks and emerging AI-assisted analytics. Additional Information Belonging at The AA At The AA, we value the unique perspectives, experiences and ideas that our people bring. ...

where the data depth is genuine and a sound working understanding of fraud typologies sits alongside it. Experience with cloud data platforms (Azure, Fabric, Databricks or similar) is a strong plus given the data lake programme ahead. Clear English and the credibility to present analysis and recommendations to senior stakeholders. ...

processing in a structured migration environment. Hands‐on experience building and operating data pipelines on Azure, AWS or Google Cloud. Experience with Spark, PySpark, Databricks or comparable distributed processing technologies. Experience building modular, tested and documented transformations using dbt or an equivalent approach. Strong SQL and Python skills for writing ...

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 ...

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 ...

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 ...

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 ...

. 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. ...

working relationships across all departments and levels of the organization.**Education:*** Bachelor's degree in computer science, Information Technology, or related discipline* Experience with Databricks, Dataverse connectors, APIs, and Microsoft Azure **This is a remote position open to internal candidates based in countries where IRC operates who have the right ...

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 ...

Analytics Cloud, or SAP BTP certifications. Experience in Life Sciences, Pharmaceutical, Biotechnology, or highly regulated industries. Experience with Microsoft Fabric, Azure Data Platform, Snowflake, Databricks, or other modern cloud data ecosystems. Strong knowledge of AI-driven analytics, data products, and enterprise information management frameworks. Equal Employment Opportunity ...

judge calibration)• Guardrail and AI-observability tooling (e.g. NeMo Guardrails, OpenTelemetry GenAI conventions, LangSmith, Braintrust)MLOps & LLMOps• Hands-on with MLOps platforms (Azure ML, Databricks, SageMaker) and vector/retrieval databases (Pinecone, Milvus, pgvector)• Experience with GPU-accelerated infrastructure and NVIDIA AI Enterprise or equivalent stacks• Exposure to fine-tuning ...

judge calibration) • Guardrail and AI-observability tooling (e.g. NeMo Guardrails, OpenTelemetry GenAI conventions, LangSmith, Braintrust) MLOps & LLMOps • Hands-on with MLOps platforms (Azure ML, Databricks, SageMaker) and vector/retrieval databases (Pinecone, Milvus, pgvector) • Experience with GPU-accelerated infrastructure and NVIDIA AI Enterprise or equivalent stacks • Exposure to fine-tuning ...

process systems, code generation for analysis, and human-in-the-loop review. Daily use of AI coding agents (Claude Code, GitHub Copilot, Databricks AI Assistant) as the primary mode of development. Preferred Experience Prior experience as a Forward Deployed Engineer at an AI-native company (Anthropic, Palantir, OpenAI, or similar ...

entire project lifecycle, in engineering, project management and digital solutions. Job Description Overview Working on a major nuclear power plant project with experience in Databricks, the Data Engineer will be responsible for designing, developing, testing, and supporting data products that underpin reporting, analytics, and operational decision-making across the project … programme. Working within a multidisciplinary Data & Analytics team, the successful candidate will use Databricks, SQL, Python, and Microsoft technologies to deliver robust, scalable, and maintainable data solutions. They will collaborate closely with Data Architects and Performance Analysts to transform business requirements into high-quality data products that support project performance ...

systems into trusted, well-governed datasets. This is a hands-on engineering role, offering the opportunity to contribute to the development of a modern Databricks Analytics Platform and help shape the organisation's wider data capabilities. Key Responsibilities Design, build, test and optimise robust ETL/ELT data pipelines within … Databricks Analytics Platform hosted on AWS. Develop and maintain data ingestion processes from clinical, operational, financial and external systems, including relational databases, REST APIs and file-based sources. Build and optimise SQL and PySpark transformations across Bronze, Silver and Gold data layers. Work with technologies including Databricks, Delta Lake, Lakeflow ...