426 to 450 of 540 Remote/Hybrid Databricks Jobs

seeking an experienced Delivery Manager to join our client’s Data & Reporting Programme. The role spans two workstreams: a Report Replacement solution and a Databricks/Enterprise Data Platform, providing end-to-end delivery structure, coordination and governance across technical and business teams. The position is hybrid, with two days ...

seeking an experienced Delivery Manager to join our client’s Data & Reporting Programme. The role spans two workstreams: a Report Replacement solution and a Databricks/Enterprise Data Platform, providing end-to-end delivery structure, coordination and governance across technical and business teams. The position is hybrid, with two days ...

Deloitte is expanding its AI & Data Engineering practice and seeks a Databricks Data & AI Engineer to design, build and optimise scalable data solutions on the Databricks Platform, enabling advanced analytics, machine learning and AI. Working with architects, engineers and AI specialists, you will help clients modernise data platforms and create ...

major financial institutions. You’ll join a small, high‐impact data team as we modernise our estate from Python/MySQL into a Databricks + Snowflake ecosystem built for scale, auditability and reliability. The Role Build & optimise pipelines in Databricks, PySpark, Python, Kafka Modernise legacy systems into a scalable, auditable ...

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. ...

their SAP landscape as it evolves; someone who's genuinely interested in bringing the trusted SAP data to modern cloud platforms like Snowflake and Databricks, and in becoming one of the rare people who can make the best use of the strengths of each platform. As Snap's SAP practice … Other times you'll be the SAP data expert on a non-SAP build, using your BW knowledge to help a team deliver on Databricks or Snowflake. Your responsibilities will include: Leading a workstream end to end which involves owning a set of deliverables and the plan to get there ...

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 ...

within a complex organisation. Experience working closely with data engineering, analytics and business teams. It would be great if you also have: Knowledge of Databricks Unity Catalog and medallion architecture. Understanding of Data Mesh, FinOps and AI governance principles. Experience using governance and data catalogue tools such as Microsoft Purview … automation, dashboarding and agile delivery environments. Experience supporting cloud platform or data product transformation programmes. Relevant certifications such as DAMA CDMP, DCAM, Microsoft or Databricks certifications. Knowledge of the hospitality sector and broader data landscape. Bring your expertise in data governance, passion for improving data quality and ability to influence ...

outcomes, and comfort working through ambiguity. Desirable MLOps excellence: reproducible pipelines, model versioning, CI/CD, observability, and automated evaluation. Data engineering: proficiency with Databricks, Apache Spark, Delta Lake, MLflow, and SQL; experience integrating datasets and maintaining data quality. Model training and optimisation: experience with pre‐training, fine‐tuning, distributed … optimisation or adapting models for constrained environments. Education: PhD in AI/ML/CS or related field. Beneficial knowledge General tooling and platforms: Databricks, AWS, GCP, GitHub, Docker/Kubernetes, MLflow, Jira. Edge deployments: Nvidia Jetson (e.g. AGX Orin), Raspberry Pi, or other embedded accelerators. Distributed model training & infra ...

intersection of software engineering, applied AI, and technical leadership, turning the latest LLM capabilities into reliable, production-grade systems built on our Azure and Databricks platform. As a senior member of the team, you will not only build high-quality AI solutions, but also help shape technical direction, guide architecture … Hands-on experience with Azure AI Search or other vector/hybrid search solutions, including vector search, hybrid search, and retrieval evaluation. Experience with Databricks and PySpark for large-scale data processing. Experience designing evaluation frameworks for LLM systems, including offline metrics, hallucination detection, and production monitoring. Experience implementing responsible ...

world's leading jewelry company. Responsibilities 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 ...

stretch opportunities, encouraging learning across disciplines and setting a culture of accountability, psychological safety and continuous improvement. Own and deliver the roadmap across the Databricks platform, analytics capability and Oracle/PostgreSQL database estate, balancing strategic investment, operational demand and technical debt. Drive modern engineering practice across the data function … with enough hands‐on credibility to review a design and challenge an approach. Practical experience with a public cloud lakehouse or modern data platform; Databricks and Spark experience is an advantage. Solid grounding in relational databases at scale, ideally including Oracle and/or PostgreSQL. Real experience of DevOps practice ...

Codelitt is hiring a Senior Data Platform Engineer in Edinburgh for a hybrid role. You will contribute to a financial data platform built on Databricks, working across Python services, APIs, data pipelines, and data models with an established Edinburgh team. The ideal candidate has substantial Databricks experience ...

join its technology and data engineering team in a permanent hybrid role across Surrey and Greater London. You will help develop and optimise a Databricks data platform that supports analytics, machine learning and artificial intelligence across the business. You will design, build and enhance a secure, scalable Databricks platform, develop ...

Location: Manchester (Hybrid, 2 days per week in the office) The Opportunity I'm currently working with a leading insurance organisation based in Manchester that is looking to appoint a Data Governance Manager to help ...

We are seeking an experienced Data Science consultant to join our Digital & Data team. The role involves advanced analytics and machine learning to support data‐centric decision making in public and private sector organisations. Responsibilities ...

About Unifeye Unifeye is a delivery-led, Databricks-first consultancy helping organisations unlock the full value of their data and AI. We're a lean, high-growth team based in London, working at the intersection of data, technology and business strategy. We partner with enterprise organisations across industries to solve … experienced Principal Engineer to join our Engineering team and lead the hands-on build and delivery of modern data and AI solutions on the Databricks Lakehouse Platform. As our most senior individual contributor, you'll set the engineering standard at Unifeye. You'll work across multiple enterprise engagements, staying deep ...

Traditional Data Science (AI/ML), Data Governance and Cloud Technologies (Azure, GCP or AWS). Nice to have experience would include Experience of Databricks : Experience in designing and building Databricks solutions. Human-Centred Design : Expertise in creating intuitive "human-in-the-loop" experiences and data interfaces that use natural ...

Korn Ferry is seeking a Data/AI Engineer (Databricks) to drive production-ready data and AI solutions across ~1,000 sites. The role focuses on Databricks engineering, LLM pipelines, and agent development, delivering hands-on delivery rather than advisory work. The contract is initially 6 months with remote working. ...

solution architects while contributing hands‐on to the design and delivery of end‐to‐end data platform solutions across Pandora’s Azure Synapse and Databricks environments. This is a dual role combining architectural leadership with people management. You will lead a small, experienced team of solution and data architects, setting … engineering teams. Architecture accountabilities Setting architectural direction across the data platform, ensuring consistency and coherence of solution designs across both Azure Synapse and Databricks environments. Reviewing and providing feedback on technical designs from solution architects and lead engineers, ensuring adherence to data platform standards and best practices. Ensuring solutions balance ...

Computerworld Personnel Ltd is recruiting an Enterprise Data Architect with Databricks experience for a hybrid role in the West Midlands. The role focuses on bringing the data architecture back in-house, delivering Databricks-based data lakes, governance, and a data roadmap. You will be an individual contributor driving future cloud ...

technical challenges, contribute to engineering standards and help drive best practices across the team. You'll build scalable data pipelines and frameworks using Azure, Databricks and PySpark, working across the full engineering lifecycle from design through to production. You'll also support other engineers through code reviews, knowledge sharing … deliver reliable data solutions that create real business value. Skills & Experience Strong experience building cloud-native data platforms, ideally on Azure Commercial experience with Databricks, PySpark and Python Strong SQL and data engineering expertise Experience designing and delivering scalable ETL and data pipeline solutions #J-18808-Ljbffr ...

Enterprise Data organisation, this role leads the engineering of cloud-native data services for the firm's strategic platform, driving the migration to Databricks and delivering scalable Spark/Scala solutions on AWS. The overall objective of this role is to lead applications systems analysis and programming activities. Proven leadership … processing, advances matching engines, AI/GenAI services and large-scale data platforms. This role will drive transformation of enterprise data capabilities using Databricks, scala/spark and cloud native architectures, ensuring platform is stable, scalable, resilient, secure and AI enabled. As platform landscape evolved towards cloud-native, AI enabled ...