151 to 175 of 684 Remote/Hybrid Databricks Jobs

sales cycle. This is a full‐time position based remotely in Dublin or London. Technologies You’ll Use AWS, GCP, Azure, Snowflake, BigQuery, Databricks, New Relic, Linux, Windows, Python, Jav What You’ll Do Work with Enterprise customers to understand their business, their use cases, and their data replication requirements ...

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 ...

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 ...

solving skills with the ability to work across software, data, cloud, and connected-product teams Desirable Experience with Azure IoT services, Azure Data Explorer, Databricks, containerisation, APIs, or cloud-native application deployment Experience with infrastructure as code, automated testing, observability, logging, or platform monitoring Awareness of MLOps concepts such ...

Economics, Applied Mathematics, Business Analytics, Marketing, or a related analytical field. - Strong technical proficiency in Python, R, SQL, or similar analytics tools; experience with Databricks, Azure, or other cloud/data platforms is a plus. - Experience or willingness to learn visualisation tools such as PowerBi and Tableau - Experience building ...

recent years to Generative AI. Technical Expertise: Experience with Python, SQL and production analytics workflows; familiarity with big‐data platforms such as Snowflake and Databricks; BI tools; APIs and workflow automation would be strong advanced. Domain Knowledge: Strong experience within the Capital Markets domain is highly preferred. Specific experience ...

Book, Better Business Cases, MSP, Agile delivery, TOGAF, SAFe or equivalent strategy/transformation methods. Experience advising on Microsoft Fabric, Azure, AWS, Google Cloud, Databricks, Snowflake, Microsoft Copilotor enterprise data platforms. Experience building new consulting propositions or scaling a consulting capability. Experience working in multi-supplier, client-side advisory ...

Datasphere, SAP 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 (EEO)It is the policy ...

Book, Better Business Cases, MSP, Agile delivery, TOGAF, SAFe or equivalent strategy/transformation methods. Experience advising on Microsoft Fabric, Azure, AWS, Google Cloud, Databricks, Snowflake, Microsoft Copilot or enterprise data platforms. Experience building new consulting propositions or scaling a consulting capability. Experience working in multi-supplier, client-side advisory ...

strong partnerships with AWS, Azure and GCP. We'reinterested to hear fromDataArchitects with experienceacross the majority ofleading vendors including Azure, AWS, Google Cloud Platform, Databricks, Snowflakeand more. Additional information Please note that the interview stages may be subject to change based on the specific requirements of the role. Round ...

recent years to Generative AI.Technical Expertise: Experience with Python, SQL and production analytics workflows; familiarity with big-data platforms such as Snowflake and Databricks; BI tools; APIs and workflow automation would be strong advanced. Demonstrated ability to design, build, and scale complex software systems, including experience with cloud architectures, distributed ...

Advanced LLM Architectures: Cloud expertise (AWS/Azure/GCP); emerging LLM architectures.GenAI Frameworks & Platforms: Proficient with Data & AI platforms (Azure AI, Vertex AI, Databricks, Hugging Face), advanced GenAI frameworks (LangChain, HF Transformers, LlamaIndex) & Agentic architectures (LangGraph, SmolAgents, PydanticAI) Prompt Engineering: Deep prompt engineering & optimization skills for GenAI.Vector ...

Advanced LLM Architectures: Cloud expertise (AWS/Azure/GCP); emerging LLM architectures.GenAI Frameworks & Platforms: Proficient with Data & AI platforms (Azure AI, Vertex AI, Databricks, Hugging Face), advanced GenAI frameworks (LangChain, HF Transformers, LlamaIndex) & Agentic architectures (LangGraph, SmolAgents, PydanticAI) Prompt Engineering: Deep prompt engineering & optimization skills for GenAI.Vector ...

Advanced LLM Architectures: Cloud expertise (AWS/Azure/GCP); emerging LLM architectures.GenAI Frameworks & Platforms: Proficient with Data & AI platforms (Azure AI, Vertex AI, Databricks, Hugging Face), advanced GenAI frameworks (LangChain, HF Transformers, LlamaIndex) & Agentic architectures (LangGraph, SmolAgents, PydanticAI) Prompt Engineering: Deep prompt engineering & optimization skills for GenAI.Vector ...

Advanced LLM Architectures: Cloud expertise (AWS/Azure/GCP); emerging LLM architectures.GenAI Frameworks & Platforms: Proficient with Data & AI platforms (Azure AI, Vertex AI, Databricks, Hugging Face), advanced GenAI frameworks (LangChain, HF Transformers, LlamaIndex) & Agentic architectures (LangGraph, SmolAgents, PydanticAI) Prompt Engineering: Deep prompt engineering & optimization skills for GenAI.Vector ...

Advanced LLM Architectures: Cloud expertise (AWS/Azure/GCP); emerging LLM architectures.GenAI Frameworks & Platforms: Proficient with Data & AI platforms (Azure AI, Vertex AI, Databricks, Hugging Face), advanced GenAI frameworks (LangChain, HF Transformers, LlamaIndex) & Agentic architectures (LangGraph, SmolAgents, PydanticAI) Prompt Engineering: Deep prompt engineering & optimization skills for GenAI.Vector ...

Advanced LLM Architectures: Cloud expertise (AWS/Azure/GCP); emerging LLM architectures.GenAI Frameworks & Platforms: Proficient with Data & AI platforms (Azure AI, Vertex AI, Databricks, Hugging Face), advanced GenAI frameworks (LangChain, HF Transformers, LlamaIndex) & Agentic architectures (LangGraph, SmolAgents, PydanticAI) Prompt Engineering: Deep prompt engineering & optimization skills for GenAI.Vector ...

Data Architect/Lead Data Engineer - Databricks Worcester | Hybrid working £70,000 - £80,000 plus bonus and benefits Permanent We are recruiting for a newly created Data Architect position within an established technology-led organisation based in Worcester. This is a hands-on role for someone who can combine data … role You will work across modern cloud data platforms, helping the organisation improve how data is structured, governed, integrated and delivered. The environment includes Databricks, cloud technologies, data lakes, analytics, reporting and emerging AI and machine-learning products. Your responsibilities will include: Defining and evolving data architecture principles, standards ...

fast-paced environment. Key Responsibilities Design, build, and maintain scalable and robust data pipelines using SQL and Python, and leveraging technologies such as: Databricks, Snowflake, Azure Data Factory, AWS Glue, Apache Airflow and Pyspark. Lead the integration of complex data systems and ensure consistency and accuracy of data across multiple … leveraging AI-assisted workflows to optimise task efficiency. Strong communication and interpersonal skills. Preferred Qualifications: Certifications in Azure, AWS, or GCP. Certifications in Databricks, Snowflake or similar technologies. Experience in the leading large scale data engineering projects. Excellent understanding of data architecture involving data mesh, data lake, data warehouse ...

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 ...

Role: Databricks Lead Engineer Location: London (Hybrid/On-site requirement: 3 days per week in London ) Rate: Up to £575/day (Inside IR35) Contract Length: 6 months with potential extension Start Date: ASAP Role Summary We are seeking an experienced Databricks Lead Engineer to drive the design, development … optimization of enterprise-scale data platforms. The ideal candidate will have strong technical leadership capabilities, deep expertise in the Databricks Lakehouse platform, and a proven track record of delivering robust data pipelines and architecture in complex environments. Key Responsibilities Lead the design and implementation of scalable data architectures ...

onboard cyber data sources and support dashboard development to deliver trusted metrics and timely reporting. Required: data engineering and analytics expertise; Power BI and Databricks experience; strong ETL and data modelling; familiarity with cyber security data sources. #J-18808-Ljbffr ...

with cross-functional teams to turn data into insights, build end-to-end data solutions using Microsoft Fabric, Azure Data Factory, Azure Synapse, and Databricks, and develop Power BI dashboards for stakeholders. #J-18808-Ljbffr ...

with a strong operational and platform administration background who can manage, support and improve enterprise cloud data services. You'll need experience with: Microsoft Databricks Microsoft Fabric Azure Data Factory Azure Data Lake Azure SQL Power BI Administration and operational support of Azure data platforms You'll also ideally have ...

Continuous engineering practices Database engines and technologies (SQL MI, Azure SQL etc. Data pipelines and ETL processes using Azure Data Factory, Data Flow, Databricks/Spark (using Python & associated frameworks) and Azure storage (data lake, blob) You will need an Agile mindset with demonstrated experience working in fully Agile Scrum ...