13 of 13 Databricks Jobs in Dorset

role. Senior Data Engineer: Must-Have Experience: Strong SQL skills and experience with SSIS, SSRS, SSAS, SSMS Data warehousing, ETL processes, best practice data management Azure cloud technologies (Synapse, Databricks, Data Factory, Power BI) Microsoft Fabric (not essential) Python/PySpark Proven ability to work in hybrid data environments Experience in finance or working with finance teams Ability to manage More ❯

. Strong background in data architecture , including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with modern data tools and technologies such as Spark, Databricks, Kafka, or Snowflake (bonus). Knowledge of cloud security, networking, and cost optimization as it relates to data platforms. Experience in total cost of ownership estimation and managing its impact More ❯

Join us as we embark on a journey of collaboration and innovation, where your unique skills and talents will be valued and celebrated. Together we will create a brighter future and make a meaningful difference. As a Lead Data Engineer More ❯

Job Description Join us as we embark on a journey of collaboration and innovation, where your unique skills and talents will be valued and celebrated. Together we will create a brighter future and make a meaningful difference. As a Lead More ❯

processes. Implementing robust ETL solutions to consolidate data from multiple sources into the central data warehouse. Working with a fully cloud-based Azure ecosystem (including Azure Data Factory and Databricks). Exploring opportunities to integrate AI/ML tools to drive innovation and business growth. What’s in It for You: Salary up to £60,000 + discretionary bonus Remote More ❯

and migration to cloud (Fabric/Azure technologies). Proven expertise in data warehousing, ETL processes, programming, and data management best practices. Experience with Azure BI/MI tools: DataBricks, Data Factory, Power BI. Knowledge of data security, quality, and accuracy tools and processes. Experience implementing data quality standards. Understanding of Finance & Actuarial processes, including regulatory and reporting requirements in More ❯

to improve the pricing and products we offer to our customers and brokers. Our team values continuous learning, you can enjoy free access to top training platforms like DataCamp, Databricks Academy, and LinkedIn Learning. Additionally, we host Lunch and Learn sessions on key business topics hosted by experts across the team and monthly insight sessions, including the Data Science Forum … reporting by providing a consistent view. Getting hands-on with data from its source right through to analysis and reporting, choosing the right software tool for the job, including Databricks (SQL and Python) and from time-to-time Willis Towers Watson software tools Radar Optimiser, Radar Live, and Emblem Essential Skills We don't expect you to know everything from More ❯

ensuring smooth access, understanding, and use of data assets —ranging from Power BI dashboards to self-service reporting in Business Objects. Working across a modern data stack —including a Databricks-based lakehouse architecture, Amperity for Customer Data Platform (CDP) enrichment, Power BI for enterprise analytics with InfoRiver writeback extension and SAP Business Objects for self-service reporting—you will be More ❯

Social network you want to login/join with: Principal Data and AI Engineer, bournemouth col-narrow-left Client: Location: bournemouth, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 4 Posted: 07.06.2025 Expiry More ❯

the data lineage, catalog and metadata management processes using tools such as Collibra, Informatica, Microsoft Purview, or Alation. •Support the integration of governance practices within data platforms like Azure, Databricks, Microsoft Fabric, and enterprise BI tools. •Promote data literacy and training initiatives across the organisation. •Provide audit and regulatory evidence as needed, including support for internal/external audits and More ❯

e.g. Purview, Informatica, Talend, Collibra DQ). •Ability to analyse and interpret data to identify patterns and anomalies across large datasets. •Experience working with cloud data platforms (e.g. Azure, Databricks, Microsoft Fabric). •Knowledge of data regulations and standards including GDPR, BCBS 239, and Solvency II. •Strong communication and documentation skills to translate technical findings into business insights. Desirable •Experience More ❯

end-to-end data flows. Experience in implementing data governance, including data cataloging, data lineage tracking, and metadata management to ensure data accuracy, accessibility, and compliance. Preferred: Experience with Databricks Understanding of how data platforms interact with marketing and customer engagement platforms. Knowledge of service-oriented architecture, including exposing and consuming data via APIs, streams, and webhooks. Good understanding of More ❯

to be obtained through the Institute and Faculty of Actuaries in the UK. Our team values continuous learning, you can enjoy free access to top training platforms like DataCamp, Databricks Academy, and LinkedIn Learning. Additionally, we host Lunch and Learn sessions on key business topics hosted by experts across the team and monthly insight sessions, including the Data Science Forum More ❯