201 to 225 of 670 Permanent Databricks Jobs

Extensive experience as an Enterprise Data Architect within large, complex organisations Previous line management or leadership experience Strong Azure data platform expertise, including Azure Databricks Experience designing modern lakehouse and enterprise data architectures Strong understanding of data governance, metadata, MDM and enterprise data modelling Experience supporting AI/ML initiatives ...

mission needs into technical solutions Lead teams across data, engineering, and delivery Influence strategy, capability, and technical direction Tech landscape AWS | Azure | GCP Databricks | Snowflake Data lakes | Warehouses | Distributed systems DevOps | Infrastructure as Code | Secure deployment Data governance | Secure access | Analytics layers What you bring Active DV clearance (essential) Proven ...

teams Experience Required Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search ...

teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search ...

teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search ...

Data Architect with strong data modelling expertise. Strong SQL Server and data architecture experience. Experience working within Tableau reporting environments. Experience with Microsoft Fabric, Databricks or similar modern cloud data platforms would be advantageous. A track record of supporting data transformation or migration programmes. Strong commercial awareness and the ability ...

hear from you. Keywords: QA Automation Engineer, Test Automation Engineer, SDET, Playwright, Cypress, API Testing, CI/CD, AI, Claude Code, GitHub Copilot, Cursor, Databricks, SQL, Quality Engineering. ...

robust outcomes. Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors. Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform. Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools. ...

training or certification on infrastructure engineering concepts and advanced applied experience in Cloud technologies including Kubernetes, Terraform and AWS Data Lake technologies (e.g. Snowflake, Databricks, AWS Glue/Athena, Lake Formation) Demonstrated experience using enterprise‐authorized AI capabilities within the work environment to support infrastructure engineering workflows with strong validation ...

Good understanding of tools and platforms used across the **Lloyd’s insurance ecosystem**.* Proficiency in Azure ecosystem: Blob Storage, Data Lake, Synapse Analytics, Databricks, Functions, and Monitor.* Demonstrated expertise in **analytics consulting**, **data analysis**, and **data analytics**.* Strong business acumen with the ability to connect technology decisions ...

operating models Deep understanding of cloud data ecosystems across AWS, Azure or GCP Experience working with modern data platforms and technologies such as Databricks, Snowflake, Fabric or equivalent ecosystems Strong stakeholder management and facilitation skills, including experience engaging senior leadership audiences Hands‐on technical credibility across data engineering, analytics ...

practices Solid grasp of MLOps principles with experience deploying models in production Proficiency in Python and tools/platforms such as Azure, AWS, GCP, Databricks, MLFlow, and Airflow Strong communication skills with the ability to engage business and technical stakeholders We offer/Benefits EPAM Employee Stock Purchase Plan (ESPP ...

capital markets or FinTech. Additional AWS services such as SQS, SNS, Step Functions, EventBridge or Secrets Manager. Big data technologies including DuckDB, pandas, Spark, Databricks or Snowflake. AI/ML technologies including vector databases, semantic search or LLM orchestration frameworks. Continuous delivery and modern development workflows. Data science applications ...

test, and production Translate business logic into efficient model architecture aligned with the Waterfall CoE Integration & Data Strategy Architect integrations between Anaplan, eFront, Databricks, and Workiva, ensuring consistent data lineage Define data schemas, mapping frameworks, and reconciliation processes Collaborate with the Data Platform and Integration teams to optimise pipelines ...

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 Table #J-18808-Ljbffr ...

relying on you to make them more efficient/AI-enabled Proficient in PostgreSQL and one or more of the data platforms (Snowflake, BigQuery, Databricks, Firebolt, etc.) Experience with our product stack (Node.js & Typescript) preferred Feel like you are never building fast enough. You have start-up experience and thrive ...

DCAM, NIST AI Risk Management Framework, ISO standards, or equivalent governance methodologies. Experience working with modern cloud and data platforms (e.g. Azure, AWS, GCP, Databricks, Snowflake, Microsoft Fabric) sufficient to ensure governance requirements are embedded within platform and solution designs. Experience facilitating executive workshops, stakeholder engagement sessions and governance forums ...

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 ...

dynamic environment Comfortable manipulating and analysing data in a scripting language Our tech stack Python as our main programming language DBT for data modelling Databricks as our datalake platform Kubernetes for data services Orchestra for task orchestration Terraform for infrastructure Lightdash for data applications Airflow and Astronomer for job scheduling ...

developing and deploying generative AI projects, including LLMs, prompt engineering, fine-tuning, RAG techniques, and AI agents. Proficiency in cloud environments, particularly Azure and Databricks, with familiarity with Azure DevOps tools such as Boards, Repos, and Pipelines. Strong knowledge of explainable AI methods and best practices in MLOps and LLMOps. ...

working in the financial services industry and a good understanding of data-related regulatory requirements for the financial services sector. Desirable Experience of DataBricks and Informatica MDM Experienced of working in a global organisation with dynamics of operating in a matrix structure across regions. Experience of working in an organization ...

test, and production. Translate business logic into efficient model architecture aligned with the Waterfall CoE. Integration & Data Strategy: Architect integrations between Anaplan, eFront, Databricks, and Workiva, ensuring consistent data lineage. Define data schemas, mapping frameworks, and reconciliation processes. Collaborate with the Data Platform and Integration teams to optimise pipelines ...

Airflow/Prefect/Dagster or equivalent) to develop production-grade pipelines that bring data to life Strong Snowflake experience is preferred, and Databricks experience would be a bonus Practical hands-on experience of at least one cloud platform (AWS, Azure or GCP) and experience of associated technologies (for example ...

functional teams Experience with OpenAPI, FastAPI, or similar It’s a bonus if you have Experience with MLFlow, model versioning, and storage Familiarity with Databricks or similar platforms Experience supporting high‐volume, real‐time data products Automated testing and validation frameworks Experience designing and configuring low‐latency databases to serve ...

business An organized and proactive approach If you’ve worked in Data Science, and have experience in the insurance industry or with Databricks, both a bonus but not essential — why not apply today? This is just the beginning. Imagine where you could go next. The journey is yours to shape. ...