151 to 175 of 1,387 Permanent Databricks Jobs

technologies to evolve Movar's data platform. Provide technical guidance to junior engineers and contribute to team capability building. Technical Stack Core: SQL Server Databricks Infrastructure as Code (Terraform, Bicep) REST APIs GitHub Actions Microsoft Fabric DataOps practices What You'll Bring Solid understanding of data architecture, APIs, and modern ...

Video Case Study Schaeffler unlocks factory insights with MS Fabric and Microsoft Cloud for Manufacturing Kyowa Kirin International – Client Story PageGroup partners with Avanade & Databricks for AI innovation Interested in life at Avanade? Check out our blogs: Avanade Insights – exchange ideas that drive tomorrow’s innovation Inside Avanade – explore what ...

willingness to build proficiency in optimising data models. Basic familiarity with data modelling concepts such as star schema or dimensional modelling. Exposure to Databricks, Microsoft Fabric, Azure Synapse or Snowflake. Awareness of Power BI or other BI tools. Curiosity about AI, machine learning and agentic technologies. Interest in business needs ...

APIs) Familiarity with cloud platforms (Azure, AWS, or GCP) Strong problem-solving skills and ability to translate business needs into technical solutions, competent across databricks or powerbi Knowledge of retail and omni-channel environments is advantageous What We Offer You Competitive salary, up to £48,585 with bonus potential ...

Video Case Study Schaeffler unlocks factory insights with MS Fabric and Microsoft Cloud for Manufacturing Kyowa Kirin International – Client Story PageGroup partners with Avanade & Databricks for AI innovation Interested in life at Avanade? Check out our blogs: Avanade Insights – exchange ideas that drive tomorrow’s innovation Inside Avanade – explore what ...

Data Analytics/Warehousing & Business Intelligence Experience 5-10 years Location United Kingdom - London Skills Python & SQL: Advanced Python (PySpark, Advanced SQL (CTEs, Databricks We are looking for an experienced Principal Data Engineer to take technical ownership of our customer decisioning pipeline architecture, end-to-end orchestration, and production readiness. ...

engineering community at Moneybox, sharing expertise and helping raise standards across our technology estate Our Data Technology Stack Cloud: Microsoft Azure Data platforms: Azure Databricks, SQL Server, Cosmos DB and Blob Storage Data processing: Python, Spark and SQL Messaging: Azure Service Bus and Event Hubs DevOps and infrastructure: Azure DevOps ...

Information Architecture; Data Modelling; Data Governance; Metadata Management; Master Data Management; Data Quality; Reference Data. Cloud Platforms: Microsoft Azure; AWS; GCP. Modern Data Platforms: Databricks; Microsoft Fabric; PostgreSQL. Data Integration: Azure Data Factory; API-led Integration; Kafka; ETL/ELT; Streaming and Event-Driven Architectures. Architecture & Modelling: TOGAF; DAMA; ArchiMate ...

Proactive, self‐motivated and able to handle multiple priorities. Exposure to Microsoft Fabric in production environments. Experience with data and analytics platforms such as Databricks or Snowflake. Experience delivering Azure-based solutions within regulated or enterprise‐scale environments. Previous experience mentoring or line managing technical team members. Additional Microsoft certifications ...

machine learning or data science.Cloud certifications (e.g. Azure, GCP, AWS) and relevant AI/ML credentials.Experience with big data and distributed computing (e.g. Spark, Databricks, Hadoop or cloud-native alternatives).Experience with containerisation and DevOps/MLOps tools (e.g. Docker, Kubernetes, Git, CI/CD, MLflow, Airflow).Strong experience with ...

helpful to have experience/expertise/knowledge in the following: Python AWS Kubernetes Spark & distributed computing dbt Terraform Data Warehousing (we use Databricks but experience with other platforms is fine) MLOps implementation (desirable but not required) Airflow (or other orchestration tooling) Governance Things to note Just ...

frameworks. Experience with Business Intelligence and reporting platforms, including Power BI, Tableau, and Qlik. Validated experience working with modern data platforms and architectures, including Databricks, Snowflake, and Lakehouse solutions. Ability to design and implement scalable data solutions that support reporting, analytics, and business decision-making. Some other highly valued skills ...

data science. Cloud certifications (e.g. Azure, GCP, AWS) and relevant AI/ML credentials. Experience with big data and distributed computing (e.g. Spark, Databricks, Hadoop or cloud-native alternatives). Experience with containerisation and DevOps/MLOps tools (e.g. Docker, Kubernetes, Git, CI/CD, MLflow, Airflow). Strong experience ...

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 ...

platforms. One or more Oracle certifications across OCI, Data Management, AI Services or Autonomous Database. Experience working with complementary technologies such as Python, Spark, Databricks, Azure, AWS, OpenShift, Kubernetes or MLOps platforms. Demonstrated ability to structure client problems, shape solutions and identify opportunities for further value creation. Ability to travel ...

modern analytics and BI platforms, ideally Power BI or Fabric. Also Tableau, Qlik or Looker. Significant expertise with cloud data platforms, ideally Microsoft Fabric, Databricks or Google Cloud Platform. Advanced T-SQL skills. Experience with Python. Experience using Git-based development workflows, including branching, pull requests, peer review and automated ...

technical leadership within an established architecture, guide engineering standards, oversee implementation quality, and mentor engineers. The role combines strong expertise in mParticle, Braze, and Databricks with a focus on platform reliability, data governance, and continuous improvement. What Will You Do? Translate approved technical designs into implementation plans, sprint‐ready tasks ...

data science.* Cloud certifications (e.g. Azure, GCP, AWS) and relevant AI/ML credentials.* Experience with big data and distributed computing (e.g. Spark, Databricks, Hadoop or cloud-native alternatives).* Experience with containerisation and DevOps/MLOps tools (e.g. Docker, Kubernetes, Git, CI/CD, MLflow, Airflow).* Strong experience ...

evolution of DFP’s cloud‐native data architecture (AWS/GCP/Snowflake). Architect and implement scalable ingestion and transformation pipelines using Fivetran, Databricks, and Airflow/DBT. Design and code modular data services and APIs that unify campaign, conversion, and audience datasets across 20+ marketing platforms. Build ...

ability to understand complex data flows, dependencies and existing platform designs. Snowflake knowledge and experience is highly desirable, with experience of platforms such as Databricks also relevant. Hands-on experience with major investment data vendors, for example Bloomberg, LSEG, FactSet, S&P Global or MSCI, including their data models ...

coding, testing, troubleshooting and documentation. Understanding of reusable prompting, AI-assisted engineering workflows, agentic development approaches and responsible enterprise AI practices. Exposure to Databricks, Microsoft Fabric, Azure Data Factory or similar modern data engineering platforms, ideally in a global delivery model. Connect to your business - Enabling Functions Collaboration is central ...

secure agreement on technical direction. Deep knowledge of the Azure data stack (Azure SQL Server, CosmosDB, Azure Data Factory, Purview, Synapse, Event Hub, Azure Databricks/Fabric) Extensive data modelling experience: both normalised relational models and de-normalised Star Schema/dimensional models Excellent relational database design skills with expertise ...

secure agreement on technical direction. Deep knowledge of the Azure data stack (Azure SQL Server, CosmosDB, Azure Data Factory, Purview, Synapse, Event Hub, Azure Databricks/Fabric) Extensive data modelling experience: both normalised relational models and de-normalised Star Schema/dimensional models Excellent relational database design skills with expertise ...

secure agreement on technical direction. Deep knowledge of the Azure data stack (Azure SQL Server, CosmosDB, Azure Data Factory, Purview, Synapse, Event Hub, Azure Databricks/Fabric) Extensive data modelling experience: both normalised relational models and de-normalised Star Schema/dimensional models Excellent relational database design skills with expertise ...

Data Engineer, the minimum criteria you’ll need is practical experience with Microsoft Fabric (Data Factory, Lakehouse, Warehouse and Notebooks) or Databricks, working proficiency in Python, PySpark and SQL for data engineering, an understanding of data modelling, warehousing and ETL/ELT principles, working knowledge of Power BI and version … help you develop along the way.Exposure to migrating from Azure Data Factory and Azure Data Lake to FabricExposure to notebook-based platforms (Fabric/Databricks)Understanding of CI/CD pipelines for data solutionsExposure to preparing data for AI use, for example RAG, vector databases or MCPExposure to processing unstructured ...