326 to 350 of 1,389 Permanent Databricks Jobs

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. ...

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 ...

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 ...

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 ...

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 ...

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 ...

awareness Salesforce, ServiceNow, Pegasystems, Appian, OutSystems SAP, Oracle, IFS, Workday Adobe platforms, Genesys and other digital or contact-centre technologies AWS, Google Cloud, Snowflake, Databricks, Informatica, MuleSoft, Boomi Architecture & process tooling SAP LeanIX, SAP Signavio and comparable architecture repositories Preferred Qualifications & Certifications TOGAF, ArchiMate or an equivalent enterprise architecture credential. ...

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 ...

Ceox is seeking a Data Architect to design and deliver a new data service within a large-scale environment. You will shape data architecture, support data engineering, and ensure governance and scalable data structures across ...

Ceox is recruiting a Data Engineer to design and deliver scalable data pipelines and data models in a modern Azure-based environment. You will collaborate with architects, analysts and engineers to implement data flows aligned ...

A leading asset management firm based in Sheffield is seeking a full-time Technical Lead in Data Engineering. You will architect new data flows, rebuild data pipelines, and mentor a growing team. Key responsibilities include ...

. Key Responsibilities Azure Platform Support & Monitoring Support and maintain Azure-based data solutions, including Azure Data Factory pipelines, datasets, linked services, triggers; Azure Databricks (Spark jobs, notebooks, clusters); Azure Machine Learning models and endpoints; Power BI dashboards and dataset refreshes. Monitor and troubleshoot failures in pipelines, jobs … workflows using Azure Monitor, Log Analytics, and custom alerting. DevOps & Automation Maintain CI/CD pipelines using Azure DevOps, GitHub Actions, etc., for ADF, Databricks and ML model deployments. Develop automation scripts in Python, PowerShell, or Bash to reduce manual intervention and improve service reliability. SQL and Data Warehouse Operations ...

ability to see the end-to-end solution whilst leading a project. Required Tools and Technologies: Microsoft Azure and cloud computing concepts Apache Spark - Databricks, Microsoft Fabric or another Spark engine Python - we build most of our solutions in Python SQL - writing complex high-performance queries, understanding how queries execute … encourage everyone to have a voice within our collaborative and inclusive team from day one. As a consultancy with strong partnerships across Microsoft, Databricks, AWS, Sigma, Tabular Editor and dbt Labs, you’ll get hands‐on access to some of the most exciting technology and learning opportunities in the industry. ...

architectures. Experience designing scalable and secure enterprise data platforms using technologies such as Microsoft Fabric, Azure Synapse Analytics, Azure Data Factory, Azure Data Lake, Databricks, and Snowflake. Data Management, Governance & Controls: Experience establishing data governance frameworks, operating models, metadata management, lineage, cataloguing, data quality, and master data management capabilities. Familiarity … insurance functions. Ability to design architectures that support self-service analytics, management information, and performance reporting using platforms such as Power BI, Microsoft Fabric, Databricks, and Snowflake. AI & Advanced Data Capabilities: Understanding of emerging Artificial Intelligence & ML Ops platforms. Experience designing architectures that enable trusted, governed, and scalable AI adoption ...