Principal Data Engineer – Modern Lakehouse with Fabric

Elemis; United Kingdom; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading skincare brand in the UK seeks a Principal Data Engineer to drive its data modernization efforts. This role involves designing scalable data solutions using technologies like Microsoft Fabric and PySpark while ensuring close collaboration with various stakeholders. With a hybrid working model, the position includes responsibilities such as optimizing data pipelines and mentoring junior engineers. The successful candidate will have a degree in a numerate subject and experience in data governance, contributing to a dynamic data team that fosters innovation and excellence.

Benefits

Generous staff discount on products

Excellent well-being policies

Company pension scheme

Health-care cash plan

Cycle-to-work scheme

Qualifications

• Degree-level education in a numerate subject like Computer Science or Engineering.
• Strong proficiency in Microsoft Fabric, PySpark, SparkSQL and T-SQL.
• Experience with data governance and GDPR compliance.

Responsibilities

• Collaborates with the team to design scalable data solutions.
• Leads the development of real-time analytics systems.
• Optimizes code for high performance and efficiency.

Skills

Microsoft Fabric

PySpark

SparkSQL

T-SQL

Attention to detail

Problem-solving

Communication

Education

Degree in Computer Science, Mathematics or related

Tools

Azure Data Factory

Microsoft Fabric Pipelines

Delta Live Tables

Job description

A leading skincare brand in the UK seeks a Principal Data Engineer to drive its data modernization efforts. This role involves designing scalable data solutions using technologies like Microsoft Fabric and PySpark while ensuring close collaboration with various stakeholders. With a hybrid working model, the position includes responsibilities such as optimizing data pipelines and mentoring junior engineers. The successful candidate will have a degree in a numerate subject and experience in data governance, contributing to a dynamic data team that fosters innovation and excellence.