301 to 325 of 641 Databricks Jobs in the UK excluding London

secrets, IAM, least privilege) Ability to lead across teams and communicate clearly with engineers and business stakeholders Preferred Qualifications, Capabilities, and Skills: Experience with Databricks/Spark and ML/forecasting execution at scale, including optimizing cold‐start/warm‐compute Familiarity with TypeScript/React micro‐frontends (Module Federation ...

/or GCP, including native identity, access control and network segmentation capabilities. Familiarity with modern data platforms and orchestration technologies such as Snowflake, Databricks and Airflow. Experience working within cybersecurity, threat intelligence or security-focused environments would be highly advantageous. Understanding of Data Clean Rooms and secure data-sharing architectures ...

using Java/Scala on large-scale datasetsDesign and build AI-enabled applications, including AI Agents and agentic workflowsWork across hybrid data ecosystems (AWS, Databricks, Kubernetes)Ensure code quality through unit testing, integration testing, and continuous validation practicesCollaborate with cross-functional teams to deliver end-to-end solutions aligned with ...

practicalities of quality, flow, and organisation of information. Bring experience in coding in Python and SQL Have solid experience of Snowflake and Azure DataBricks Have a good understanding of AI usage of data Have exposure to at least one cloud platform (AWS, Azure or GCP) and experience of associated technologies ...

discipline such as Mathematics, Statistics, Economics, Engineering, Physics or Data Science. Strong analytical and problem-solving skills. Advanced Excel capability. Experience using SQL, Python, Databricks or similar data tools. The ability to manipulate and interpret large datasets. Strong communication skills with the confidence to engage with stakeholders. A desire ...

Strong architectural judgement, with the ability to balance business value, technical complexity, risk, cost and compliance considerations Practical MDM and metadata management experience, specifically Databricks/Lakehouse platform Experience providing technical leadership and influencing decisions across large-scale programmes, transformation initiatives and diverse stakeholder groups A collaborative approach, with ...

Experience with distributed computing frameworks (e.g., Spark or similar) and scalable data processing environments. Exposure to cloud-based platforms (e.g., AWS, Azure, GCP or Databricks) and modern ML/MLOps practices. Proven track record managing and growing high-performing data science teams, including technical mentoring and delivery accountability. Strong stakeholder ...

with common standards such as metrics and use of test tools Here’s a snapshot of the technologies that we use: Scala Apache Spark Databricks Apache Parquet Azure Cloud Platform Azure DevOps (Test plans, Backlogs, Pipelines) GIT We’d love to hear from you if you have: Good experience ...

leaders, cross-functional partners, and non-technical stakeholders Working knowledge of cloud-based data and machine learning platforms such as AWS, Azure, GCP, and Databricks, as well as the broader ecosystem used to build and deploy AI and ML products Deep expertise in artificial intelligence, with a track record ...

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 ...

secrets, IAM, least privilege) Ability to lead across teams and communicate clearly with engineers and business stakeholders Preferred Qualifications, Capabilities, And Skills Experience with Databricks/Spark and ML/forecasting execution at scale, including optimizing cold-start/warm-compute Familiarity with TypeScript/React micro-frontends (Module Federation ...

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 ...

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 ...

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 ...

TypeScript) and CloudFormation aws-lambda-powertools for observability CI/CD via AWS CodePipeline Grafana dashboards and CloudWatch alarms Product and analysis Databricks SQL, dashboards and notebooks for reporting Jupyter, numpy, pandas, plotly for investigation Cursor, Copilot, and a healthy amount of custom scripting How we work Small, highly collaborative ...

team to advance the data platform within a DevOps culture. You will play a central role in building and maintaining scalable data pipelines across Databricks & Azure SQL Server, and will bring solid experience with ELT, orchestration, and scripting languages. A firm grasp of data modelling and management will be essential … technical authority accountable for the design and development of the technologies that underpin our data strategy. At the heart of this is our Databricks data platform, and you will take ownership of building, optimising, and maintaining data pipelines using PySpark - orchestrating feeds from source systems through to our group data ...

data development, data integrations, SQL, Python, data warehousing, & Azure data platforms is required by a leading company near Warrington. Any experience with Snowflake, Kimball, Databricks, & ThoughtSpot would be a bonus. The role can be Hybrid, with 2 days in the office. As part of an ongoing investment in data … data warehousing concepts and methodologies. * Experience working with relational databases and database schema design. * Experience building and maintaining ETL/ELT processes. Desirable Skills: * Databricks experience. * Azure Data Platform technologies, Azure Data Lake, Azure Analysis Services. * Snowflake, ThoughtSpot. * Knowledge of Kimball and Inmon data warehousing methodologies. * Exposure to AI-assisted ...

data migration activities. Perform data analysis and profiling. Configure Azure DevOps/GitHub environments and CI/CD processes for Azure Data Factory and Databricks code. Essential Skills & Experience: We are looking for candidates with: Strong experience designing and delivering Azure-based data platform solutions. Experience with technologies including … Microsoft Fabric o Power Apps o Azure Synapse o Azure Data Factory (ADF) o Databricks o Azure Functions o Azure App Service o Logic Apps o Azure Kubernetes Service (AKS) o Web Apps Hands-on expertise in PySpark, SQL and Python. Good knowledge of real-time streaming applications, preferably including ...

organisation's data platform and architecture. Profile 10+ years' experience in Data Engineering. Strong commercial experience with Python. Advanced hands-on knowledge of Databricks, including notebooks, workflows, jobs, and Delta Lake. Strong experience with Apache Spark/PySpark. Proven track record building and maintaining scalable ETL pipelines. Strong … Azure, or GCP environments. Exposure to modern data warehousing platforms such as Snowflake, BigQuery, or Redshift. Familiarity with orchestration tools including Airflow or Databricks Workflows. Excellent communication skills with the ability to engage technical and non-technical stakeholders. Strong problem-solving mindset and a passion for delivering high-quality data ...

analytical skills, a passion for data, and the ability to translate complex information into clear business insights. Experience with Python (PySpark) and/or Databricks would be particularly advantageous. The Business Intelligence Data Engineer will: Design, develop and optimise ETL pipelines and data integrations. Build and maintain data models that … Engineering or similar role. Strong SQL skills and experience working with relational databases. Experience in working with & supporting modern cloud data platforms e.g. Snowflake, Databricks, Fabric Experience of data warehousing, data modelling and big data concepts. Experience with BI tools such as Qlik, Tableau or Power BI. You'll also ...

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 ...

Breedon’s enterprise data platform. The role will establish engineering standards, guide architectural decisions and build secure, scalable data products using Microsoft Fabric, Azure Databricks and associated Azure services. Working across Data & Analytics, Technology and the wider business, the role will help make trusted data easier to discover, access … engineering excellence, continuous learning and professional growth. Skills, Knowledge & Expertise Experience and knowledge: Experience of designing and implementing an Azure analytical platform including Azure Databricks, Azure Data Factory, Azure Data Lake Storage, Delta Lake, Unity Catalog, PySpark, SQL, Python, and Azure DevOps. Experience of working with senior stakeholders to articulate ...

your team. Key Responsibilities Discipline Expertise and Leadership Technology breadth : Deep, production‐grade experience across AWS & or Azure native services, with expert-level Databricks and/or Snowflake and an Agile delivery mindset. On AWS, you’re fluent across the core services, for example: Storage & Lakehouse: RDS, DynamoDB, S3, SageMaker … metadata management and cataloguing, through to advanced analytics and decision‐making. AI : You understand how AI is built and deployed in modern data platforms (Databricks, Snowflake) and cloud‐native services like Amazon Bedrock, with enough depth to guide teams and advise clients, spanning LLMs and SLMs, agentic automation, Human ...