1 to 25 of 29 Permanent Databricks Jobs in Edinburgh

equivalent experience in computer science engineering, or a related field.Strong programming skills in languages such as Python, Java, or Scala.Hands-on experience with Databricks, SQL, and data modelling. Proficiency with big data tools (e.g., Apache Spark, Apache Kafka, Presto, etc.) and cloud services (e.g., Azure, AWS, GCP).Familiarity with data ...

processes. Technical Skills Programming: Proficiency in Python, Java, Scala, or similar languages. Big Data Technologies: Hands-on experience with big data tools e.g. (Databricks, Apache Spark, Hadoop). Cloud Platforms: Familiarity with AWS, Azure, GCP, or other cloud ecosystems for data engineering tasks. Expertise in relational databases (e.g. postgres ...

have Programming: Proficiency in Python, Java, Scala, or similar languages for data processing. Big Data Technologies: Hands-on experience with tools such as Databricks, Apache Spark, and Hadoop. Cloud Platforms: Familiarity with AWS, Azure, GCP, or other cloud ecosystems for data engineering tasks. Database Management: Expertise in relational databases (e.g. ...

Strong technical understanding of modern data architectures and platforms, including data modeling concepts, ETL/ELT patterns, cloud data platforms such as Snowflake and Databricks, data quality tools, metadata tools, lineage tools and data governance tools such as Collibra, Unity Catalog. Working knowledge of SQL and data-analysis techniques, with ...

Advanced LLM Architectures: Cloud expertise (AWS/Azure/GCP); emerging LLM architectures.GenAI Frameworks & Platforms: Proficient with Data & AI platforms (Azure AI, Vertex AI, Databricks, Hugging Face), advanced GenAI frameworks (LangChain, HF Transformers, LlamaIndex) & Agentic architectures (LangGraph, SmolAgents, PydanticAI) Prompt Engineering: Deep prompt engineering & optimization skills for GenAI.Vector ...

integration design·Using Python and SQL to build robust, scalable AI and data solutions·Working with cloud platforms such as AWS, Azure, GCP or Databricks·Supporting MLOps, LLMOps, CI/CD and software engineering best practice·Collaborating with technical and non-technical stakeholders across complex programmes·Helping identify technical, delivery ...

public sector or other complex data environments involving data sharing, multiple stakeholders and evidence-based decision making. Experience with Microsoft Fabric, Azure Data Factory, Databricks, PowerBI semantic models or equivalent technologies. Professional qualification or certification in Data Architecture, Enterprise Architecture, Data management, or Data Engineering (e.g. TOGAF, DAMA CDMP ...

integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery ...

multidisciplinary teamsExperience Required:·Experience designing AI, ML or modern data architectures within enterprise environments·Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies·Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments·Experience with LLMs, prompt engineering, embeddings, semantic search ...

/CD, model versioning, automated testing, retraining, monitoring and reproducible delivery.Experience using cloud platforms and data science environments such as Azure, AWS, GCP, Databricks or equivalent to build and deploy scalable ML solutions.Strong communication, stakeholder management and problem-solving skills, with the ability to explain complex modelling approaches, trade-offs ...

transition into the world of Architecture. Knowledge across key principles including data modelling, pipelining, quality and management. Working knowledge with the likes of Databricks, Snowflake, Fabric etc. Excellent communication and collaboration skills. Experience working in client facing environments and a proven track record in meeting deadlines consistently. A strategic thinker ...

transition into the world of Architecture. Knowledge across key principles including data modelling, pipelining, quality and management. Working knowledge with the likes of Databricks, Snowflake, Fabric etc Excellent communication and collaboration skills. Experience working in client facing environments and a proven track record in meeting deadlines consistently. A strategic thinker ...

office between 1 to 2 times per week. You will help build and evolve a financial data platform developed on top of Databricks and used by major enterprise clients. The platform supports the ingestion, transformation, modeling, and delivery of complex financial data. This is primarily a backend and data-platform … services, APIs, data pipelines, and data models while collaborating closely with an established engineering team in Edinburgh. The ideal candidate has substantial hands-on Databricks experience and can become productive in a complex data environment. You should be comfortable taking ownership of well-defined areas of work while gradually building ...

multi-million ARR goal first set for this product line Addepar is also building new tools to fulfill investors’ needs. From Big Data in Databricks to new web apps and everything in between, you’ll help us build an AI-first platform to empower investors. Moving forward, Navigator and these ...

multi-million ARR goal first set for this product line.Addepar is also building new tools to fulfill investors’ needs. From Big Data in Databricks to new web apps and everything in between, you’ll help us build an AI-first platform to empower investors. Moving forward, Navigator and these other ...

machine learning, Earth Observation, constraint analysis, route optioneering or site suitability.You are confident working with data engineering and cloud platforms such as Python, SQL, Databricks or Azure.You can build repeatable, scalable and reproducible tools for large spatial datasets and enterprise geospatial systems.You are able to translate business or engineering needs ...

changing Digital-First world we live in. We foster strong partnerships with leading technology giants including Anthropic, Microsoft, AWS, Oracle, Red Hat, OutSystems, and Databricks, ensuring that our customers are provided with the highest quality solutions and services.We’re an award-winning employer reflecting how our employees ...

deals while establishing sound architectural blueprints. You will serve as the strategic bridge between C-suite client decision-makers, hyperscaler partners (AWS, Azure, GCP, Databricks, Snowflake), and internal delivery teams. You will architect end-to-end solutions spanning modern data platforms, medallion architectures, Enterprise AI, and Agentic workflows, ensuring technical … large-scale enterprise data & AI deals with executive business stakeholders. Hands-on experience in co-selling with cloud platforms and hyperscalers (Azure, AWS, GCP, Databricks, Snowflake). Outstanding communication skills, with a demonstrated ability to translate complex technical concepts for both developer teams and C-suite audiences. A global mindset ...

experience[Preferred] Specific experience with LLMs and agentic systems[Preferred] Hands-on experience with technologies in the modern AI/LLM ecosystem, such as Databricks, Langchain, or MLFlow[Preferred] Advanced understanding of the probabilistic systems underpinning modern LLMs[Preferred] Experience building AI products in highly accuracy-sensitive domains such ...

experience[Preferred] Specific experience with LLMs and agentic systems[Preferred] Hands-on experience with technologies in the modern AI/LLM ecosystem, such as Databricks, Langchain, or MLFlow[Preferred] Advanced understanding of the probabilistic systems underpinning modern LLMs[Preferred] Experience building AI products in highly accuracy-sensitive domains such ...

journey. Let’s create tomorrow, together, today. About the role and team: Role overview CreateFuture is delivering the migration of an ML estate from Databricks to an AWS SageMaker-based MLOps platform, working alongside AWS. The Senior Data Engineer (ML) sits in the Databricks workstream team (Delivery Manager, Lead … platforms. This is hands‐on delivery in a regulated iGaming environment: production pipelines, not notebooks. Key responsibilities Migrate ML data pipelines from Databricks (Spark/Delta Lake) to the SageMaker-based "golden template" architecture, working to the pattern set by the Lead ML Ops Engineer Build and amend feature engineering ...

Our roster has an opening with your name on itWe are seeking a Data Engineering Manager to lead a team of data engineers in building high-quality, scalable data products and infrastructure. In this hybrid ...

skills preferred in any or all of the following: Microsoft Excel, Google Suite, Atlassian Jira/Confluence, SQL, Python (Jupyter Notebook, Pandas, PySpark, etc.), Databricks, Bloomberg, Pitchbook, or other common financial services systems and applicationsHands-on SQL & Data Warehouse Experience: Strong proficiency using SQL and Databricks (PySpark) to navigate complex ...

team has a part to play Platform Leadership: Lead design build, and continuous improvement of scalable data pipelines, Lakehouse architectures, and data products on Databricks and AWS infrastructure. Maintain engineering standards for performance, reliability, and cost. Contribute hands-on to architecture reviews, code reviews, and troubleshooting. Team Management: Manage … production‐grade data pipelines, and strong experience with Python, Scala, or similar programming languages. Experience working with modern cloud data platforms such as Databricks (preferred), Delta Lake, Snowflake, or BigQuery. Proven experience driving complex cross‐functional initiatives from concept through production. Experience leading technical architecture discussions and engineering design reviews. ...

data quality to own the design and hold the build to account. You know how EPM sits alongside platforms like Snowflake, Palantir Foundry or Databricks as a governed data and AI foundation for finance.AI-augmented, intelligent finance. You own the design of the AI and machine-learning use cases that … experience with one or more leading EPM platforms (Oracle EPM, OneStream or Anaplan); experience integrating EPM with modern data platforms — Snowflake, Palantir Foundry or Databricks — as a governed data and AI foundation for finance; a track record of data, analytics or AI-enabled finance solutions, including predictive forecasting and generative ...