301 to 325 of 2,008 Databricks Jobs in the UK

production environments. Prepare to be tenacious and collaborate to drive the right solutions forward. Have a good understanding of Microsoft Azure tooling including Azure Databricks, preferably with hands-on experience. Strong understanding of data modelling and architectures (e.g. data vaults, data warehousing, data lakes etc.) Experience with Azure based solutions More ❯

Sql dbs (dynamo db, Cassandra) Knowledge of node based architecture, graph databases and languages – Neptune, Neo4j, Gremlin, Cypher Experience 5+ years of experience with Databricks, Spark, Scala,PySpark, Python 5+ years of experience in SQL and database technologies like Snowflake or equivalent. 3+ year of experience with data and ETL More ❯

production environments. Prepare to be tenacious and collaborate to drive the right solutions forward. Have a good understanding of Microsoft Azure tooling including Azure Databricks, preferably with hands-on experience. Strong understanding of data modelling and architectures (e.g. data vaults, data warehousing, data lakes etc.) Experience with Azure based solutions More ❯

proficiency in at least one scripting language (e.g., Python, JavaScript) is highly preferred. Hands-on experience with modern cloud data platforms such as Snowflake, Databricks, Amazon Redshift, Google BigQuery or similar. Familiarity with Business Intelligence and data visualization tools (e.g., ThoughtSpot, Tableau, Power BI, Looker, MicroStrategy). Exceptional ability to More ❯

Direct message the job poster from Osmii Associate Director at Osmii, part of the HW Group Databricks Architect (Contract) - Greenfield Data Platform Location: Hybrid working (London) Duration: 12-month initial contract Are you a visionary Databricks Architect with a passion for building cutting-edge data platforms from the ground up … advanced analytics to AI/ML. We are looking for a hands-on architect who can translate business needs into robust, scalable, and secure Databricks solutions. The Role: As our Databricks Architect, you will be instrumental in defining and delivering our new data strategy and architecture. This is a greenfield … project, meaning you'll have the exciting challenge of building the entire Databricks Lakehouse Platform from scratch. You will provide critical technical leadership, guidance, and hands-on expertise to ensure the successful establishment of a scalable, high-performance, and future-proof data environment. Phase 1: Strategic Vision & Blueprint Data Strategy More ❯

for our infrastructure definition and deployment Kubernetes for data services and task orchestration Airflow for job scheduling and tracking Circle CI for continuous deployment Databricks for our data lake platform Parquet and Delta file formats on S3 for data lake storage Postgres/aurora for our relational databases Spark for More ❯

tickets timely. Skilled in troubleshooting, preferably with experience of working as a support consultant in an ITIL environment. Advantageous Qualifications and Skills Additional Skills: Databricks, Python, .NET Framework (C# or VB.NET) IBM Cognos BI or IBM Planning Analytics Azure Fundamentals (AZ-900), Data Fundamentals (DP-900), Azure Data Engineer Associate More ❯

orchestration frameworks (Airflow, Dagster) to build scalable pipelines. Knowledge of real-time data movement, databases (Oracle, SQL Server, PostgreSQL), and cloud analytics platforms (Snowflake, Databricks, BigQuery). Familiarity with emerging data technologies like Open Table Format, Apache Iceberg, and their impact on enterprise data strategies. Hands-on experience with data More ❯

and overcoming technical objections Expertise in cloud computing platforms such as AWS, GCP, or Azure, and experience with Cloud Data Platforms like Snowflake and Databricks In-depth understanding of relational databases (PostgreSQL, MySQL, Oracle, SQL Server) and NoSQL databases (MongoDB, Cassandra, DynamoDB) Hands-on experience with technical problem-solving and More ❯

organisations, through e.g. the RFI/RFP process, as preferred bidder, documented bids and face to face presentations. Experience of data science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and machine learning frameworks (e.g. Keras, Tensorflow, PyTorch, scikit-learn) Cloud platforms - demonstrable experience of building and deploying solutions to Cloud (e.g. More ❯

Clearance checks can be found here Responsibilities Designing cloud-based data platforms and data solutions using a wide range of Azure Services including Azure Databricks, Azure SQL Database, Azure Data Lake Storage, Azure Synapse, Azure Cosmos DB, Azure Data Factory and Azure Blob storage Building conceptual, logical and physical data More ❯

to guide how one could deploy infrastructure into different environments. Knowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop. Good understanding of possible architectures involved in modern data system design (Data Warehouse, Data Lakes, Data Meshes) Ability to create data pipelines on More ❯

is transitioned without disruption. GenAI Drive the end-to-end engineering of generative-AI solutions-designing, building and operationalising pipelines that harness Claude (via Databricks), Azure OpenAI Service and ChatGPT-while enforcing robust security, governance and monitoring to deliver scalable, business-value-driven outcomes. Integration Deliver integration of internal systems More ❯

R (R Studio) or Python for statistical analysis in a commercial context. Experience with data analytics tools and platforms such as Azure Synapse Analytics, Databricks, Salesforce, Microsoft Power BI, and website analytics tools (e.g. Google Analytics or Adobe Analytics) is desirable. Experience working with large datasets, including extracting and preparing More ❯

is transitioned without disruption. GenAI Drive the end-to-end engineering of generative-AI solutions-designing, building and operationalising pipelines that harness Claude (via Databricks), Azure OpenAI Service and ChatGPT-while enforcing robust security, governance and monitoring to deliver scalable, business-value-driven outcomes. Integration Deliver integration of internal systems More ❯

organisations, through e.g. the RFI/RFP process, as preferred bidder, documented bids and face to face presentations. Experience of data science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and machine learning frameworks (e.g. Keras, Tensorflow, PyTorch, scikit-learn) Cloud platforms - demonstrable experience of building and deploying solutions to Cloud (e.g. More ❯

PyTorch (preferred) and/or TensorFlow. Hands-on experience with deploying machine learning models in production using cloud platforms, especially Microsoft Azure ML/Databricks ML Flow. Experience in integrating CI/CD pipelines for ML models. A proactive, hands-on approach to building, iterating, and owning solutions end-to More ❯

PyTorch (preferred) and/or TensorFlow. Hands-on experience with deploying machine learning models in production using cloud platforms, especially Microsoft Azure ML/Databricks ML Flow. Experience in integrating CI/CD pipelines for ML models. A proactive, hands-on approach to building, iterating, and owning solutions end-to More ❯

PyTorch (preferred) and/or TensorFlow. Hands-on experience with deploying machine learning models in production using cloud platforms, especially Microsoft Azure ML/Databricks ML Flow. Experience in integrating CI/CD pipelines for ML models. A proactive, hands-on approach to building, iterating, and owning solutions end-to More ❯

SKILLS • Experience with Python web development frameworks - Django, in particular, beneficial. • Experience with Git for version control and collaborative development. • Familiarity with Snowflake or Databricks, especially with Snowpark or PySpark Python libraries. • Experience with big data technologies and cloud platforms (e.g., AWS, Azure) a benefit. • Familiarity and practical experience with More ❯

and/or engineering knowledge of one or more of the following Data and AI Platforms: Google Cloud Platform, Amazon Web Services, Microsoft Azure, Databricks, Snowflake. Architectural and/or feature knowledge of one or more of the following Programming Languages/Packages: Python, Java, Scala, Spark, SQL, NoSQL databases. More ❯

data processing platform for spark, and modern open table concept like delta/iceberg. Strong experience with Azure: Synapse Analytics, Data Factory, Data Lake, Databricks, Microsoft Purview, Monitor, SQL Database, SQL Managed Instance, Stream Analytics, Cosmos DB, Storage Services, ADLS, Azure Functions, Log Analytics, Serverless Architecture, ARM Templates. Strong proficiency More ❯

how to attain and consistently overachieve quota through accountability and cross leadership partnering Extensive knowledge of sales methodologies ie MEDDICC, CoM, Challenger etc About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune … rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and … Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse More ❯

include contributing to knowledge-sharing activities and data services. Essential technical experience you will demonstrate Strong experience designing and delivering data solutions in the Databricks Data Intelligence platform, either on Azure or AWS. Good working knowledge of Databricks components: DeltaLake, Unity Catalog, ML Flow, etc. Expertise in SQL, Python and More ❯

availability for the business. Partner with E2E LEGO.com Operations digital product teams to ensure high quality data is collected and published to LEGO Nexus (databricks) to a standard fit for purpose for downstream delivery of data products. Enable LEGO Retail specific data understanding and champion data literacy via guidelines, training … Fluent in English and open to light travel (up to 10 days/year). Nice to have Experience with CI/CD pipelines, Databricks, and Databricks Asset Bundles is beneficial. You’re comfortable working in cross-cultural environments and collaborating with global teams across time zones. A good understanding More ❯