176 to 200 of 269 Remote/Hybrid Databricks Jobs

build secure, scalable platform capabilities for enterprise AI adoption in London. Hybrid work arrangement. You will own cloud-native platforms on Azure, leverage Databricks and Azure AI services to deliver reusable services, APIs and integrations, and collaborate with Architecture, Product and Engineering to raise standards and scale AI workloads. #J ...

being. You will lead projects end-to-end, applying multipath AI methods across the customer journey. You’ll work with cloud environments (Azure/Databricks), ensure model monitoring and regulatory compliance, and collaborate in an agile, cross-functional team committed to responsible AI. #J-18808-Ljbffr ...

this full-time role involves shaping key data frameworks, leading architectural governance, and driving modern cloud-native practices. The ideal candidate will have strong Databricks and Azure experience, with a commitment to building best practices from the ground up. Hybrid working options are available, alongside a competitive salary and robust ...

help manage AV and event operations across our worldwide offices. Based in our Warsaw office, you will primarily support our confere... Sr. Solutions Architect Databricks Technology FEQ327R342 Location: Auckland At the company, our core principles are at the heart of everything we do; creating a culture of proactiveness ...

decisions. Desirable: Experience with personalisation, experimentation and optimisation platforms. Exposure to AI-enabled decisioning or customer engagement solutions. Experience with platforms such as Snowflake, Databricks, Hightouch or similar. TOGAF or equivalent certification. Experience supporting large-scale transformation programmes. ...

working with large-scale datasets. Proven ability to translate complex data into actionable business recommendations. Experience with modern cloud data platforms such as Snowflake, Databricks, BigQuery or Redshift. Excellent communication and stakeholder management skills, with experience presenting insights to senior audiences. Track record of delivering analytics projects that positively impact ...

also love experience with: Version control for data and artefacts: DeltaLake DVC MLFlow Designing and operating cloud-based systems AWS and/or Databricks Messaging platforms Infrastructure as Code tools such as: Terraform CloudFormation Pulumi Kubernetes and service mesh concepts Data orchestration tools Why you’ll love it here ...

work with both technical and non-technical stakeholders, explaining complex ideas clearly and collaboratively. Experience with cloud-based AI, analytics or engineering platforms; Databricks would be beneficial. And in return, you'll get the best from us: Hybrid working 2 days per week in the office Annual bonus ...

contextual bandits, or network intelligence applications. Experience in fintech, payments, or building cross‐disciplinary relationships for advice and guidance. Familiarity with the Unix shell, Databricks, Docker, and common cloud platforms (GCP or AWS). Additional Information Bring all of you to work. We create the conditions for high performers ...

metrics. Skills and experience you need as Metadata Lead Metadata Expertise: Collibra specialist with strong data cataloguing and lineage knowledge, as well as strong Databricks Unity Catalog experience. Delivery Leadership: Experience designing and executing against delivery roadmaps that are underpinned by purposeful outcomes and value. Communication: Ability to translate technical ...

Nice to Haves Direct experience selling customer data platforms, data integration, developer tools, cloud infrastructure, or AI infrastructure. Familiarity with technologies such as Snowflake, Databricks, BigQuery, Redshift, Kafka, dbt, or related modern data platforms. Experience selling infrastructure or consumption‐based software. Prior experience at a company navigating a major product ...

skills, with experience using tools such as SQL, Python, Tableau, or equivalent. Familiarity with modern data platforms and large ‐ scale data environments (e.g., Snowflake, Databricks). Experience defining functional, analytical, or risk requirements for technology ‐ enabled control solutions. Strong stakeholder management skills, with the ability to influence across Product, Technology ...

Developer or Business Intelligence Developer. Knowledge, Training & Experience Essential Advanced experience of Azure infrastructure or other cloud computing platforms, including Data Factory, ETL processes, Databricks and Data Lake technologies Advanced knowledge of Azure infrastructure or other cloud computing platforms, including Data Factory, ETL processes, Databricks and Data Lake technologies Advanced ...

architectures and take ownership from data foundations through to AI-driven outcomes. You will work within the Data Platforms team, at the forefront of Databricks Lakehouse, Azure AI, and emerging agentic frameworks, helping clients modernise and transform their data and AI capabilities. PLEASE NOTE: Security Clearence: To be successfully appointed … about your citizenship in the application process. The Focus Of Your Role You will shape next-generation data and AI platforms by combining deep Databricks expertise with modern engineering practices. Using tools such as VS Code and AI-assisted development, you will rapidly design, build, and scale enterprise solutions while ...

technology leadership, you'll define the architectural vision while driving the implementation of a modern Lakehouse and Data Warehouse environment built on Microsoft and Databricks technologies. Responsibilities: Designing enterprise-scale data warehouse and Lakehouse architectures Developing data platform strategies using Microsoft Fabric OneLake and Databricks Building scalable data models … translate strategic objectives into technical solutions Requirements: Enterprise data warehouse architecture and design Microsoft Fabric, Azure Data Platform technologies and modern Lakehouse architectures Databricks, Unity Catalog and Delta Lake PySpark, Databricks, SQL Medallion Architecture implementation Data modelling approaches including Star Schema and Data Vault Data governance, security and access management ...

technology leadership, you'll define the architectural vision while driving the implementation of a modern Lakehouse and Data Warehouse environment built on Microsoft and Databricks technologies. Responsibilities: Designing enterprise-scale data warehouse and Lakehouse architectures Developing data platform strategies using Microsoft Fabric OneLake and Databricks Building scalable data models … translate strategic objectives into technical solutions Requirements: Enterprise data warehouse architecture and design Microsoft Fabric, Azure Data Platform technologies and modern Lakehouse architectures Databricks, Unity Catalog and Delta Lake PySpark, Databricks, SQL Medallion Architecture implementation Data modelling approaches including Star Schema and Data Vault Data governance, security and access management ...

build and scale its ecosystem-led revenue engine. This pivotal role focuses on driving partnerships and co-sell revenue across platforms like MAG, Databricks, and Snowflake. With 15-20 years of experience in strategic alliances, candidates must demonstrate leadership in driving impactful partnerships within the Data, Analytics & AI sectors. ...

deliver AI solutions faster, more securely and more consistently. Skills & Experience Strong experience designing and building cloud-native platforms on Azure Commercial experience with Databricks, Azure AI services, APIs and integration technologies Expertise developing scalable platform architecture and reusable engineering capabilities Experience supporting modern AI workloads, including LLMs ...

investment Skills and experience you need as Metadata Lead: Metadata Expertise: Collibra specialist with strong data cataloguing and lineage knowledge, as well as strong Databricks Unity Catalog experience Delivery Leadership: Experience is designing and executing against delivery roadmaps that are underpinned by purposeful outcomes and value. Communication: Ability to translate ...

across multiple channels. Strong understanding of statistical concepts including hypothesis testing, confidence intervals, and significance testing. Experience using cloud-based analytics environments such as Databricks, Snowflake, or BigQuery. Strong data visualisation and storytelling skills, with the ability to communicate insights to both technical and non-technical audiences. Experience working with ...

client stakeholders, delivery teams and architects to design and deliver scalable modern data platforms. We are specifically looking for someone with deep expertise in Databricks, either operating at Architect level or leading high-performing engineering teams within enterprise environments. The successful candidate will bring strong consulting capability, commercial awareness … engineering teams. Translate complex technical concepts into clear business value and delivery outcomes. Support clients through technical decision-making, platform strategy and roadmap planning. Databricks Leadership & Solution Architecture Lead the design and implementation of enterprise-scale Databricks solutions and modern data platforms. Provide architectural leadership across cloud-native data engineering ...

scalable, enterprise-grade data platforms. This role requires deep expertise in data architecture, dimensional data modelling (Kimball) and modern cloud-based data ecosystems (ideally Databricks) . Core Technical Expertise Strong experience in data solution architecture within enterprise environments Proven hands-on expertise in data warehousing concepts and implementation Deep knowledge … Kimball dimensional modelling methodology. Platforms & Tools Experience with Databricks (preferred) or similar platforms: Snowflake, BigQuery, Redshift, Synapse, or equivalent Strong proficiency with: SQL (advanced level) Spark/PySpark Data pipeline orchestration tools (e.g., Airflow, ADF, etc.) Data Modelling Extensive experience designing: Fact and dimension tables Star and snowflake schemas Aggregation ...

Ataccama is the agentic data trust company. Organizations worldwide rely on Ataccama ONE, the agentic data trust platform, to ensure data is accurate, accessible, and trusted for every decision and system. Powered by the ONE ...

Databricks AI Forward Deployed Engineering (AI FDE) team is a customer‐facing unit delivering professional services to build and productionize GenAI applications for customers. This role is remote in the UK with preference for London, reporting to Senior Manager - AI FDE, EMEA. You will develop GenAI solutions, own production rollouts ...

design, integration patterns and modern engineering best practices. Experience working with high-volume data platforms, data integrations and large-scale data migrations. Exposure to Databricks integrations would be highly advantageous. If you are interested in this role and have relevant experience, please apply or email your latest CV to ASAP ...