476 to 500 of 644 Remote Databricks Jobs

mandatory) Employment Type: Permanent | Fixed-Term Contract | Contract (Inside IR35) Start Date: Immediate Key Responsibilities Lead the architecture, design, and implementation of Azure and Databricks-based data platforms. Provide technical leadership, mentoring, and guidance to engineering teams. Collaborate with business and technical stakeholders to define platform roadmaps and best practices. … using Terraform and Azure services. Support strategic decision-making by aligning platform capabilities with business objectives. Essential Skills & Experience Strong hands-on experience with Databricks development and platform architecture. Good understanding of Azure infrastructure, networking, and Terraform. Proven experience in solution architecture, technical design, and stakeholder management. Experience leading technical ...

domain expertise and demonstrable experience with cloud-based services for data analytics and AI on the Microsoft Cloud (e.g. Azure ML, AI Foundry, Azure Databricks ) Experience shaping proof of concepts and evolve designs to productionised solutions with appropriate AI governance incorporating MLOps and LLMOps to manage risk and auditability 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, medallion architectures, data lakehouse designs, master data systems, legacy data warehouses, data engineering (ETL, ELT, CDC) for enterprise scale analytics) #J ...

critical Power BI reporting. Platform Migration: Lead the data workstream transitioning legacy on-premise/Azure environments into a modern cloud architecture (GCP/Databricks). Multi-Market MDM Rollout: Build and execute a market-by-market data maturity roadmap to standardize Master Data Management across 10 EU territories. Governance … Analytics). Technical Breadth: Hands-on expertise with both traditional platforms (SQL Server/Azure) and cloud-native environments (GCP and/or Databricks). MDM & Governance Track Record: Direct experience delivering Master Data Management rollouts, data quality frameworks, and match/merge rules across multi-entity environments. International Scope ...

critical Power BI reporting. Platform Migration: Lead the data workstream transitioning legacy on-premise/Azure environments into a modern cloud architecture (GCP/Databricks). Multi-Market MDM Rollout: Build and execute a market-by-market data maturity roadmap to standardize Master Data Management across 10 EU territories. Governance … Analytics). Technical Breadth: Hands-on expertise with both traditional platforms (SQL Server/Azure) and cloud-native environments (GCP and/or Databricks). MDM & Governance Track Record: Direct experience delivering Master Data Management rollouts, data quality frameworks, and match/merge rules across multi-entity environments. International Scope ...

What To Expect From The Role Leading enterprise information architecture design, creating semantic, conceptual, logical models that engineering teams translate into Azure Synapse and Databricks based physical implementations. Architecting domain data models for commerce (store, consumer, marketing, omnichannel, e-commerce), manufacturing (production, quality, materials), and supply chain (wholesale, inventory, distribution … modern data mesh/lakehouse patterns, with ability to guide teams through transitional architectures harmonizing both paradigms. Understanding of Azure data platform capabilities (Synapse, Databricks, Unity Catalog, Data Factory) to guide architectural decisions in daily implementations. Track record of guiding teams through major digital transformations, particularly SAP S/4HANA ...

company. What to expect from the roleLeading enterprise information architecture design, creating semantic, conceptual, logical models that engineering teams translate into Azure Synapse and Databricks based physical implementations.Architecting domain data models for commerce (store, consumer, marketing, omnichannel, e-commerce), manufacturing (production, quality, materials), and supply chain (wholesale, inventory, distribution, planning … modern data mesh/lakehouse patterns, with ability to guide teams through transitional architectures harmonizing both paradigms.Understanding of Azure data platform capabilities (Synapse, Databricks, Unity Catalog, Data Factory) to guide architectural decisions in daily implementations.Track record of guiding teams through major digital transformations, particularly SAP S/4HANA migrations ...

Data Architect/Lead Data Engineer to shape data architecture while delivering hands-on engineering. You will work across cloud data platforms including Databricks, building data pipelines, governance and analytics capabilities. The role blends architectural leadership with practical delivery across data products and platforms. Ideal candidates will have extensive Databricks ...

We are currently looking for a Machine Learning Engineer to join our client’s data team. This is a hands‐on role where you’ll design and build robust data pipelines, transform ML prototypes into ...

Company DescriptionWe believe in the power of ingenuity to build a positive human future. As strategies, technologies, and innovation collide, we create opportunity from complexity. Our teams of interdisciplinary experts combine innovative thinking and breakthrough ...

Company DescriptionWe believe in the power of ingenuity to build a positive human future. As strategies, technologies, and innovation collide, we create opportunity from complexity. Our teams of interdisciplinary experts combine innovative thinking and breakthrough ...

Talensa, partnered with a specialist B2B Financial Services tech platform, is seeking a Senior/Data Engineer to own an Azure Databricks-based data platform and BI layer. You will build and evolve cloud data pipelines, ensure data quality, and collaborate with platform engineering, data science, and business stakeholders. ...

partner with architects, analysts and engineers to deliver scalable data platforms. You will work hands-on with Python, PySpark and SQL on Azure Databricks, designing data flows, validating requirements, and delivering high-quality data products while adhering to security and governance controls. #J-18808-Ljbffr ...

data platform to enable analytics, reporting, and AI initiatives across Pricing, Underwriting and Claims. You will design and build scalable data pipelines on Azure Databricks and Delta Lake, with governance, security, and real-time processing at scale. The role sits in the Enterprise Data Team and requires strong ...

currently seeking an MLOps AI Lead & Databricks Platform Specialist to join a global end client, taking ownership of the Databricks platform and supporting the delivery of robust, scalable MLOps capabilities. We are ideally looking for someone on a permanent basis , although contract-to-permanent could also be considered. Location: Hybrid … years’ experience Proven experience managing data/analytics platforms and/or MLOps capabilities in a complex enterprise environment. Hands-on experience operating Databricks (workspace administration, cluster policies, jobs, Delta Lake, Unity Catalog, access controls, and production support) Experience implementing MLOps practices across the model lifecycle (CI/CD, versioning ...

currently seeking an MLOps AI Lead & Databricks Platform Specialist to join a global end client, taking ownership of the Databricks platform and supporting the delivery of robust, scalable MLOps capabilities. We are ideally looking for someone on a permanent basis , although contract-to-permanent could also be considered. Location: Hybrid … years’ experience Proven experience managing data/analytics platforms and/or MLOps capabilities in a complex enterprise environment. Hands-on experience operating Databricks (workspace administration, cluster policies, jobs, Delta Lake, Unity Catalog, access controls, and production support) Experience implementing MLOps practices across the model lifecycle (CI/CD, versioning ...

Global is seeking an MLOps AI Lead & Databricks Platform Specialist to own the Databricks Lakehouse Platform and drive robust MLOps capabilities across the enterprise. The role involves platform service management, security governance, and collaborating with Data Engineering and Data Science teams to operationalize ML models through CI/CD, testing ...

data applications - scoping and implementing architectural improvements for long-term global scalability, robustness and operational efficiency Interface with the established data warehouse, built on Databricks Take ownership of data platform improvements that enhance the capabilities for all teams and drive trust in the stability of the system What … Drives knowledge sharing and documentation for a more effective platform; Desirable: energy domain knowledge Our core data stack Python as our main programming language Databricks Spark for data processing Databricks/dbt/SQL for data modelling and analytics Streamlit for data applications and visualisations Airflow for job scheduling ...

data estate, and you will play a key role in the modernisation of its cloud-based data platform, including the continued development of its Databricks environment. The Role Leading, mentoring and developing a team of Data Engineers. Providing technical leadership across scalable, reliable and secure data platforms. Remaining hands … with complex data engineering and technical challenges. Leading the migration and modernisation of existing data platforms into a modern Databricks environment. Designing and maintaining high-quality data pipelines, models and curated datasets. Ensuring the stability, performance and continuous improvement of critical data platforms. Supporting wider technology and business transformation programmes. ...

data estate, and you will play a key role in the modernisation of its cloud-based data platform, including the continued development of its Databricks environment. The Role As Data Engineering Lead, you will provide both technical and people leadership, helping to shape the future direction of the organisation … data platforms. Remaining hands-on with complex data engineering and technical challenges. Leading the migration and modernisation of existing data platforms into a modern Databricks environment. Designing and maintaining high-quality data pipelines, models and curated datasets. Ensuring the stability, performance and continuous improvement of critical data platforms. Supporting wider ...

analytics solutions. You will work closely with cross-functional teams to design, implement, and maintain robust analytics pipelines in SQL , leverage your expertise in Databricks using Python , and create impactful visualisations using Tableau or Power BI and other relevant technologies. This is a fantastic opportunity for a driven individual looking … Responsibilities Develop and maintain dashboards and reports to visualise and communicate insights derived from complex datasets . Design and implement scalable data pipelines using Databricks and SQL/Spark for efficient data processing and analysis. Collaborate with stakeholders to understand business requirements and translate them into analytical solutions. Optimise ...

Develop processes for integrating data from agreed sources into the Power App and wider data environment. Work with data colleagues to support integration with Databricks, the existing CRM and Lakehouse. Plan and support user acceptance testing, troubleshooting issues and implementing improvements. Manage user permissions and ensure the application meets business … communication and stakeholder management skills. Excellent attention to detail, with the ability to manage competing priorities and meet deadlines. Experience with externally facing applications, Databricks or other cloud data platforms is desirable. Knowledge of SQL, Python, JavaScript or similar technologies would be advantageous. Working Hours: 37 hours per week, Monday ...

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. The Data Architect owns the end-to-end design and evolution … developers and solution architects to deliver business solutions. The role also owns the end-to-end data architecture of our enterprise Lakehouse platform on Databricks, including data modelling, storage patterns, integration approaches, data sharing patterns and governance guardrails. In addition, the role is responsible for shaping the future-state data ...

combining technical data architecture with stakeholder leadership and people management. You will influence key architectural decisions, support the use of technologies such as Azure Databricks, Unity Catalog and Microsoft Purview, and lead a small team of three architects. Essential experience Strong experience as a Data Architect within a large, complex … stakeholder communication skills, with experience leading designs through governance and supporting delivery through to implementation. Desirable experience Experience with Azure data technologies such as Databricks, Microsoft Purview or Microsoft Fabric. Knowledge of data product thinking, federated data models or domain-based ownership. Experience with TOGAF, Sparx Enterprise Architect or data ...

concepts to deploying enterprise-grade solutions, you will apply your expertise in AI engineering, cloud platforms, and technologies such as Generative AI, Azure, Databricks to embed intelligence into critical audit workflows and products. In addition to technical leadership, you will shape the growth of the team—mentoring engineers, promoting best … product engineering—from architectural design and prototyping to CI/CD-enabled deployment—using modern platforms and tools such as Azure ML, Databricks, MLflow, LangChain and LangGraph. Champion automation, testing, and observability across pipelines.· Operational Excellence: Define reusable development patterns, enforce coding standards, and promote MLOps best practices that support ...

clearance for this role.Desirable skills- Public sector or regulated industry experience (government, healthcare orsimilar)- Experience with modern data warehouse and lakehouse ecosystems (Redshift, Snowflake, Databricks, BigQuery, Synapse)- Familiarity with SQL and Python or Java- Experience with MLOps and Infrastructure as Code (Terraform, CloudFormation etc.) for data, analytics and AI services … infrastructuredelivery- Cloud platform architecture certification, with a data or AI specialism beneficial- Certification in modern data warehouse/AI ecosystems (Redshift, Snowflake, Databricks etc.)- Experience using AI or Agentic techniques in application of the role through GitHub CoPilot, Claude Code, or equivalentBenefitsAlong with a great company culture, Credera provides ...