151 to 175 of 674 Permanent Databricks Jobs

reusable data products for analytics, reporting, and machine learning pipelines Implement query tuning, indexing, partitioning, and caching strategies in platforms such as Snowflake and Databricks Collaborate with data scientists, engineers, and business teams to deliver analytics-ready datasets Establish and enforce data governance practices aligned with SOC 2 and GDPR … Implement access controls, data lineage tracking, and encryption standards Build resilient automated workflows using Step Functions and Databricks Workflows Implement monitoring, logging, and alerting systems for reliability and data quality Guide junior engineers and contribute to internal knowledge-sharing initiatives Stay current with emerging technologies and champion continuous improvement ...

JPMorgan Chase within our Corporate Investment Bank , Payments Technology team, you'll design, build, and operate scalable data pipelines and analytics workloads on the Databricks Lakehouse platform. We're looking for a Databricks Engineer to design, build, and operate scalable data pipelines and analytics workloads on the Databricks Lakehouse platform. … deliver trusted datasets, performant ETL/ELT pipelines, and well-governed data products. Job responsibilities Design and implement batch and streaming data pipelines using Databricks (Spark), Delta Lake , and orchestrators (e.g., Workflows , Airflow, ADF). Develop and optimize Spark jobs (PySpark/Scala) and SQL transformations for performance, reliability ...

JPMorgan Chase within our Corporate Investment Bank , Payments Technology team, you'll design, build, and operate scalable data pipelines and analytics workloads on the Databricks Lakehouse platform. We're looking for a Databricks Engineer to design, build, and operate scalable data pipelines and analytics workloads on the Databricks Lakehouse platform. … deliver trusted datasets, performant ETL/ELT pipelines, and well-governed data products. Job responsibilities Design and implement batch and streaming data pipelines using Databricks (Spark), Delta Lake , and orchestrators (e.g., Workflows , Airflow, ADF). Develop and optimize Spark jobs (PySpark/Scala) and SQL transformations for performance, reliability ...

cloud platforms. We specialise on using the latest frameworks, reference architectures and technologies using AWS, Azure and GCP along with various data platforms like Databricks and Snowflake.Please Note:Security Clearance: To be successfully appointed to this role, must be eligible to obtain Security Check (SC)clearance.To obtain SC clearance … focus, you will be an integral part of our team dedicated to building scalable and secure data platforms. You will leverage your expertise in Databricks, Apache Spark, and Azure to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations.Design ...

looking for a London-based Data Engineer (Databricks) who will work closely with clients in Operational Risk Management domain to design and implement scalable data solutions tailored to their business needs. This role demands both technical expertise and soft skills, as youll be translating complex data requirements into actionable architectures … directly with stakeholders. Requirements: 5+ years of hands-on data engineering experience, ideally within a consulting or client-facing environment Hands-on experience with Databricks Lakehouse Platform Strong SQL skills and proficiency in Python Experience designing and deploying solutions in cloud environments Ability to quickly grasp diverse business domains ...

engineers. Ideal candidates have 7+ years in data engineering, strong SQL/Python, and hands-on experience with Azure/AWS/GCP, Databricks, Snowflake and CD/CI, DataOps, and data governance. #J-18808-Ljbffr ...

Microsoft Data & AI consultancy, seeks a Senior Consultant for client engagements across sectors. You will design modern data platforms using Microsoft Fabric, Azure Databricks and Power BI, lead workshops, and drive architecture discussions. Occasional UK and international travel may be required. Strong communication and consulting skills are essential. The role ...

within a 80+ strong team delivering value-driven data solutions for operational and business analysis. In this role you will leverage Azure Data Lake, Databricks, and Power BI to streamline ingestion, governance, and analytics while #J-18808-Ljbffr ...

Senior Enterprise Architect – Databricks About the Role As a Senior Enterprise Architect – Databricks , you will lead the Technical Design Authority (TDA) function for a large-scale Databricks transformation program. You will be responsible for governing enterprise architecture decisions, driving design assurance, and ensuring all technical solutions align with business objectives … direction across the program. Key Responsibilities Technical Design Authority Leadership Lead and chair the Technical Design Authority (TDA), reviewing and approving solution designs across Databricks workstreams Establish and govern architecture review processes, including submission standards, governance forums, decision logs, and approval workflows Ensure architectural alignment with enterprise standards, target‐state ...

Select how often (in days) to receive an alert: Select how often (in days) to receive an alert: Senior Manager, Databricks Architect, AI&Data, FS Location: London Other locations: Primary Location Only Date: 9 Aug 2026 Requisition ID: 1639394 At EY, we’re all in to shape your future with … take your career wherever you want it to go. Join EY and help to build a better working world. Senior Manager – Data Engineering – Databricks Architect London/Edinburgh The opportunity The EY Financial Services AI & Data team is continuing to grow and develop unique advisory propositions aligned to market needs ...

environment: Python LLMs (prompt engineering, fine-tuning, RAG) LangChain/LangGraph Agent frameworks Vector databases MLOps/LLMOps AWS/Azure/GCP/Databricks Kubernetes & GPU infrastructure What you'll bring: - Experience designing enterprise AI or ML architectures - Strong grasp of cloud and modern data platforms - Exposure to scalable ...

strategy Environment Python LLMs, prompt engineering, fine-tuning, RAG LangChain, LangGraph, Agent frameworks Vector databases and semantic search MLOps and LLMOps AWS, Azure, GCP, Databricks Containerisation, Kubernetes and GPU infrastructure Requirements Experience designing enterprise AI or ML architectures Strong understanding of cloud and modern data platforms Exposure to scalable ...

this role you must be an accomplished Data Engineer with hands-on experience with Microsoft Fabric and Azure data services, including technologies such as Databricks, Data Factory, Azure SQL Managed Instances, and Data Lake solutions. You will have a proven track record of designing and optimising data warehouses and large ...

strategy Environment Python LLMs, prompt engineering, fine-tuning, RAG LangChain, LangGraph, Agent frameworks Vector databases and semantic search MLOps and LLMOps AWS, Azure, GCP, Databricks Containerisation, Kubernetes and GPU infrastructure Requirements Experience designing enterprise AI or ML architectures Strong understanding of cloud and modern data platforms Exposure to scalable ...

integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery ...

integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery ...

integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery ...

science, machine learning or data engineering, including experience with Python and/or R. Strong understanding of cloud-based technologies and solutions (Azure and Databricks preferred), DevOps practices and API-driven architectures. Experience of large language models (LLMs), generative AI technologies including AI agents and their practical applications. Proven experience ...

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 ...

enterprise data catalogue platforms Experience with master and reference data management tools (e.g. Ataccama, Profisee – desirable) Working knowledge of the Microsoft Azure ecosystem, including Databricks and Power BI Excellent communication, stakeholder management and influencing skills Experience delivering solution‐level data architecture across complex projects and programmes Experience producing data impact ...

enterprise data catalogue platforms Experience with master and reference data management tools (e.g. Ataccama, Profisee – desirable) Working knowledge of the Microsoft Azure ecosystem, including Databricks and Power BI Excellent communication, stakeholder management and influencing skills Experience delivering solution‐level data architecture across complex projects and programmes Experience producing data impact ...

enterprise data catalogue platforms Experience with master and reference data management tools (e.g. Ataccama, Profisee – desirable) Working knowledge of the Microsoft Azure ecosystem, including Databricks and Power BI Excellent communication, stakeholder management and influencing skills Experience delivering solution‐level data architecture across complex projects and programmes Experience producing data impact ...

enterprise data catalogue platforms Experience with master and reference data management tools (e.g. Ataccama, Profisee – desirable) Working knowledge of the Microsoft Azure ecosystem, including Databricks and Power BI Excellent communication, stakeholder management and influencing skills Experience delivering solution-level data architecture across complex projects and programmes Experience producing data impact ...