276 to 300 of 539 Remote/Hybrid Databricks Jobs

This is a hands-on delivery role focused on designing scalable data pipelines, migrating legacy data assets and developing enterprise-grade data solutions using Databricks, Python, SQL and Oracle click apply for full job details ...

governance. You will collaborate with senior stakeholders to translate data into actionable recommendations. You will coach junior scientists, review code, and apply Python, Azure, Databricks, and ML techniques in a collaborative, hybrid environment based in London. #J-18808-Ljbffr ...

engagement, ensuring accuracy and timeliness in all outputs. The ideal candidate will possess strong SQL and Excel skills, with experience in Power BI and Databricks being advantageous. The position supports a hybrid working model, fostering a culture of continuous improvement and collaboration. #J-18808-Ljbffr ...

activities to improve retention and CLV, collaborating with Marketing, Ecommerce, Product, and Data Science teams. The role leverages reporting in SQL, Power BI, and Databricks to drive impactful decisions, with a hybrid work arrangement and exposure to senior stakeholders. #J-18808-Ljbffr ...

scalable data, analytics and AI-assisted automation solutions that improve business decision‐making. This is a hands‐on engineering role for someone strong in Databricks, SQL and Python who is already using tools such as Claude Code, Cursor, GitHub Copilot or ChatGPT to accelerate development. #J-18808-Ljbffr ...

multimodal models. You will collaborate with Applied Scientists, Data Engineers, PMs and business stakeholders to productionise solutions. Role requires strong Python, PySpark/Databricks experience, hands-on DL with PyTorch or TensorFlow, and a pragmatic, business-focused #J-18808-Ljbffr ...

will turn priority data sources into reusable assets, develop NLP and ML models, ensure data quality and provenance, and publish features through Fabric/Databricks APIs or products, #J-18808-Ljbffr ...

deliver cloud-native data services powering the firm’s platform, enabling large-scale analytics for global markets. You will drive the migration to Databricks on AWS, lead engineering teams, optimize performance, governance and security, and enable AI-enabled analytics and ML integration across critical applications. The role offers hybrid working ...

SDET, Quality Engineering, Data Engineering, DevOps or Platform Engineering . Proven practical experience with Agentic AI tools such as GitHub Copilot and/or Databricks Genie . Experience designing multi‐step AI workflows covering code generation, review, automated testing and iterative refinement. Strong understanding of automated testing and shift‐left ...

team and campaigns; Develop the Marketing Operations function to ensure the seamless transition of MQLs from Marketo, to Salesforce, and reporting back up through Databricks Collaborate with our Business Intelligence team to take our analysis to the next level, as well as automate reporting; Lead roll out of major sales ...

Tableau, Qlik). Knowledge of Python or R for advanced analytics and automation is highly desirable. Familiarity with cloud/big data platforms (Snowflake, Databricks, Spark) is preferred. Key Requirements Minimum 5+ years of hands-on experience in Data Analytics or Data Science (experience within Customer Success, Operations, or Digital ...

leadership. Support procurement processes, vendor assessments and technical requirements across key programmes. Essential skills for the Lead Solution Architect include: Strong Azure capability (ADLS, Databricks, App Services, identity and integration patterns). Knowledge of data collection and submission platforms. Experience designing scalable, secure architectural artefacts and roadmaps, including HLDs, blueprints ...

leadership. Support procurement processes, vendor assessments and technical requirements across key programmes. Essential skills for the Lead Solution Architect include: Strong Azure capability (ADLS, Databricks, App Services, identity and integration patterns). Knowledge of data collection and submission platforms. Experience designing scalable, secure architectural artefacts and roadmaps, including HLDs, blueprints ...

eBPF, Cilium, policy‐as‐code with OPA or Kyverno, MCP and A2A orchestration patterns, Agent Gateways and Registries, secure containers, sandboxing, confidential computing, Spark, Databricks, Data Mesh, Go, Python, TypeScript, open‐source or CNCF community contributions. Условия: Hybrid working with the option to work from almost anywhere ...

concepts to non‐technical audiences. An open, curious and learning‐oriented approach, with a commitment to doing great work. Nice to have: Experience with Databricks or similar platforms. Experience with HTML, JavaScript or related technologies. Exposure to supply chain, sustainability or risk‐focused analytics environments. What you'll get Hybrid ...

concepts to non-technical audiences. An open, curious and learning-oriented approach, with a commitment to doing great work. Nice to have: Experience with Databricks or similar platforms. Experience with HTML, JavaScript or related technologies. Exposure to supply chain, sustainability or risk-focused analytics environments. Company Benefits Hybrid working (minimum ...

modern engineering practices Experience securing enterprise applications such as SAP, Salesforce, or Dynamics, and large-scale data platforms such as Data Lake, S3, or Databricks Knowledge of data loss prevention, data lifecycle management, and relevant regulations such as GDPR The ability to influence senior partners and provide clear technical leadership ...

engineers, product partners, platform teams and third-party delivery partners. Practical experience with modern engineering toolchains and technologies such as GitHub Actions, Kafka, Kong, Databricks, Azure Kubernetes Service, React, React Native, Java, automated testing and API gateways. Our promise to you... We will make sure that you are well-rewarded ...

financial services, healthcare, retail, energy, aviation, and the public sector, and partner with some of the world’s leading technology providers, including Microsoft, Snowflake, Databricks, and Collibra. What sets us apart is how we build capabilities and careers alongside the solutions we deliver. Through continuous learning, hands‐on experience ...

vector databases, and prompt engineering concepts Hands-on experience with Azure, AWS, or GCP preferred Experience working with enterprise data platforms such as Snowflake, Databricks, Azure Data Platform, or similar Ability to influence stakeholders and build alignment across business, technology, risk, and operations teams Comfortable engaging with both senior executives ...

data management artefacts in tools like Collibra, Axon , Purview Data modelling experience/Knowledge and usability Experience evaluating and recommending data tools Experience with Databricks, Snowflake, or similar platforms Familiarity with Enterprise Architecture Tooling i.e. Lean IX , Ardoq etc Customer Focus Driving Change Driving Results Judgement and Decision Making Strategic ...

quantitative discipline (Statistics, Computer Science, Mathematics, Physics, Economics, or equivalent) Desirable Master’s or PhD in a quantitative field Cloud data platforms (Snowflake, Databricks, BigQuery, or Azure Synapse) Product analytics instrumentation experience (Amplitude, Mixpanel, Pendo, or custom event pipelines) MLOps - model deployment, monitoring, and retraining in production Experience building propensity ...

quantitative discipline (Statistics, Computer Science, Mathematics, Physics, Economics, or equivalent) Desirable Master’s or PhD in a quantitative field Cloud data platforms (Snowflake, Databricks, BigQuery, or Azure Synapse) Product analytics instrumentation experience (Amplitude, Mixpanel, Pendo, or custom event pipelines) MLOps - model deployment, monitoring, and retraining in production Experience building propensity ...

Data & AI - Seen as a credible thought partner to CXOs, with strong understanding of Data, AI, Analytics and tech ecosystems (AWS, Azure, GCP, Databricks, Palantir), enabling articulation of value, limitations, and ROI while influencing strategic decisions and guiding Data & AI‐led transformation EXL Differentiation - Position EXL as a Data ...

role design, systems integration, and evaluation of architectures. Broader expertise of technologies and applications relevant to the Bank’s enterprise applications (e.g. Cloud, Azure, Databricks, data life cycle management, master data systems, legacy data warehouse, workplace productivity tools) and technology operations support services (e.g. service desk, CMDB). Experience ...