326 to 350 of 644 Remote/Hybrid Databricks Jobs

best talent at the intersection of technology and finance [Preferred] Hands-on experience with technologies in the modern AI/LLM ecosystem, such as Databricks, Langchain, or MLFlowProven experience shipping and maintaining AI-native products or features, or demonstrable passion through significant personal projects in AIExtensive professional experience in backend ...

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 ...

challenges with a practical and constructive mindset. Nice to haveStartup or scale-up experienceEnergy, utilities, trading, sustainability, or fintech experienceData visualisation experienceExperience working with Databricks or similar data platformsExperience using AI-assisted development toolsPrevious involvement in shaping engineering teams, standards, or architectureWhy joinA salary ...

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 ...

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 ...

models using SQL (python would be advantageous) and sophisticated Excel/GoogleSheet/Google AppScripts tools. Exposure to software (or equivalent software) such as Databricks, Snowflake, N8N, Workday Adaptive Planning, Tableau etc would also be an advantage. Experience developing advanced analytics with an exceptional ability to interpret and present financial ...

Computer Science, a related field, or equivalent industry experienceNice to Have: Experience founding or scaling an FDE/solutions engineering function. Technical founder background. Databricks, AWS Bedrock, or Temporal experience. Deep domain knowledge in healthcare, financial services, or government. Agent framework contributions (Strands SDK, LangChain, open-source MCP servers).Proficiency ...

Science. These are some technologies that our Data Scientists use (we don't expect applicants to have experience with all of these):Python and Databricks for Data Science, Spark, MLFlow and Airflow for ML Workflows, Google Cloud Platform for our analytics infrastructure, dbt and BigQuery for data modelling and warehousing. ...

content in commercial terms for non-technical stakeholders, such as customers, sales and product teams Desirable B2B product experience Experience with Spark SQL, PySpark, databricks Experience with CausalAI modelling frameworks (e.g. dowhy, econml) Diversity & Inclusion Intent HQ is an equal opportunities employer with an ethos of commitment to promoting ...

focus on writing clean, modular, and reusable code.Nice-to-HavesData Modelling Expertise: Practical experience with Star Schema and Kimball methodologies.Modern Data Stack: Experience using Databricks for processing and dbt for transformation workflows.Global Delivery: Experience building data products designed for multi-region or multi-client environments.Kaluza ValuesHere at Kaluza we have ...

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 ...

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 ...

engineering, product management, solutions architecture) with a strong desire to move into marketing and storytelling.Experience working with datawarehouse/CDP or technology such as Databricks, Snowflake Google Cloud Platform, AWS and other technology partners to jointly build and launch products, features and go-to-market sales motions. API/ ...

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 ...

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 ...

maintain data pipelines ingestion, transformation, serving, and monitoring using tools such as Airflow, Kafka, dbt, or equivalents. Working familiarity with modern data platforms (Snowflake, Databricks, BigQuery, or similar), including data modeling and performance fundamentals. Strong debugging instincts with imperfect, real-world data in production environments. Supply Chain Domain (Nice ...

best practices in data modelling and architecture Partner with client teams to translate business requirements into tailored data solutions Work hands-on across Snowflake, Databricks, AWS, Azure, or similar environments Contribute to internal initiatives focused on capability development, tooling, and process improvement Engage with stakeholders to influence technical direction … experience, with at least 2 years hands-on across modern data platforms Strong SQL, data modelling, and query optimisation skills Practical experience with Snowflake, Databricks, AWS Redshift, or Microsoft Fabric Solid grounding in ETL/ELT pipelines and data warehousing principles Strong communication and problem-solving skills Comfortable working both ...

data governance Experience using data modelling tools such as Erwin or equivalent Experience working with cloud‐based data platforms (e.g. Azure Data Lake, Databricks) Familiarity with data cataloguing and lineage tools (e.g. Microsoft Purview) Strong SQL skills and experience with relational and dimensional modelling The ability to translate complex business … analytics use cases Qualifications Essential Significant hands‐on experience in data modelling projects, with experience designing and delivering Gold-layer data products in Databricks or a comparable modern lakehouse platform Strong ability to understand business processes, information flows and source systems, translating them into conceptual, logical and physical data models ...

production environments. Prepare to be tenacious and collaborate to drive the right solutions forward. Have a good understanding of Microsoft Azure tooling including Azure Databricks, preferably with hands-on experience. Strong understanding of data modelling and architectures (e.g. data vaults, data warehousing, data lakes etc.) Experience with Azure based solutions … explain technical concepts to non-technical business stakeholders. Demonstrated experience leading and mentoring data engineers. #UST Skills SQL, Python, Microsoft Azure, Azure Data Factory, Databricks #J-18808-Ljbffr ...

data governance* Experience using data modelling tools such as Erwin or equivalent* Experience working with cloud‐based data platforms (e.g. Azure Data Lake, Databricks)* Familiarity with data cataloguing and lineage tools (e.g. Microsoft Purview)* Strong SQL skills and experience with relational and dimensional modelling* The ability to translate complex business … analytics use cases**Qualifications****Essential*** Significant hands‐on experience in data modelling projects, with experience designing and delivering Gold-layer data products in Databricks or a comparable modern lakehouse platform* Strong ability to understand business processes, information flows and source systems, translating them into conceptual, logical and physical data models ...

that business users can effectively harness data insights to drive strategic decision making. Our data strategy is centred around an enterprise Lakehouse platform on Databricks, avoiding fragmented, ungoverned silos on legacy technologies that hamper creativity and scalability. We are building a governed, interoperable data estate that enables self‐service … well‐controlled outputs in a regulated environment. You will have strong SQL and advanced Excel skills as standard, with experience of Power BI and Databricks being a distinct advantage. You should be comfortable engaging stakeholders to shape requirements as you are building the solution hands‐on, motivated by the opportunity ...

Fabric Consultant Up to £90,000 We are partnering with a leading Microsoft-focused consultancy that specialises in delivering enterprise-scale data, analytics and AI transformation projects. Working with organisations across a range of industries ...