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Data Engineer
Skills
Azure DatabricksBAUBuild Strong RelationshipsBusiness IntelligenceConsumer TextilesDialectical Behavior TherapySnowflake
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Strong proficiency in SQL Python and PySpark
- Hands-on experience with DBT and cloud data platforms such as Snowflake Databricks or Microsoft Fabric
- Working knowledge of Azure services including Logic Apps and Power BI Fabric Semantic Models
- Ability to engage directly with stakeholders and take ownership of technical decisions in a fast-paced environment
- Legally authorized to work in the United Kingdom
Nice to have
- Technically ambitious
- Collaborative
- Proactive
- Analytical
- Adaptable
Day to day
- Develop, test and document new features for the Finance Lakehouse platform using Microsoft Fabric
- Manage product backlog ownership and support Azure and Power BI assets with BAU support and incident response
- Build collaborative relationships with finance stakeholders and external partners to define technical requirements and shape solution design
- Improve the development environment and ways of working with the Data Architect while optimising performance across Fabric and Snowflake
Hiring process
- Apply via Hyra
- Shortlisting by hiring team
- Interview process