10 of 10 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 ...

related field, with a focus on building scalable data systems and platforms.Expertise in modern streaming data tools and frameworks such as Kafka, Spark, Databricks, and cloud-native services (AWS, GCP, or Azure).Deep understanding of streaming architectures, distributed systems, ETL/ELT pipelines, infrastructure-as-code, and build processes.Proficiency ...

engineering leader with demonstrated experience in vector-based data processingExperience leading global, distributed engineering teams through production system transformationStrong cloud data infrastructure background — AWS, Databricks, KubernetesCross-team technical influence — demonstrated ability to facilitate constructive discussions around complex technical and organisational issues and drive architectural decisions across team boundariesData-driven prioritisation ...

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 ...

work effectively with senior stakeholders across Engineering, Product, Legal, Security and Data Governance. Familiarity with privacy and consent technologies, experimentation, personalisation, advertising measurement, Databricks, OpenTelemetry or SQL is valuable but not essential - as is practical experience using AI tools to make engineering work smarter. What it's like here ...

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 ...

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 ...

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 ...

foundation finance can rely on rather than another copy of the data. You'll work across the platforms clients are standardising on, Snowflake, Databricks and Palantir Foundry among them, and you can lead the selection and architecture calls between those and comparable cloud data platforms. You keep cost and performance … 7+ years) delivering finance data platform work end to end; hands-on experience with one or more modern cloud data platforms, such as Snowflake, Databricks or Palantir Foundry, among others; experience integrating a data platform with an ERP estate such as SAP or Oracle and the close, consolidation and reconciliation ...

Sweet, Chair and CEO What you'll bring Working on the finance data platform. Hands-on experience of a modern cloud data platform (Snowflake, Databricks or Palantir Foundry, or something comparable) and a working grounding in how one is put together: the layers that take data from raw ingestion through … building the rest. Things that set strong candidates apart: hands-on experience with a modern cloud data platform, such as Snowflake, Databricks or Palantir Foundry, among others; experience moving financial data out of an ERP such as SAP or Oracle and into a reporting or analytics environment, and reconciling ...