Azure Data Engineer for BI Pipelines & Lakehouse

Azure Data Engineer for BI Pipelines & Lakehouse

Full-Time 50000 - 50000 Β£ / year (est.) No working from home possible
Mace

At a Glance

  • Tasks: Build and optimise BI pipelines and lakehouse solutions using Microsoft Azure.
  • Company: Join Mace, a leading firm in digital transformation and data engineering.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on client success and cutting-edge technology.
  • Why this job: Make an impact by developing innovative data solutions for real-world projects.
  • Qualifications: 2+ years of data engineering experience with SQL and Azure expertise.

The predicted salary is between 50000 - 50000 Β£ per year.

Mace is looking for a data engineer in Birmingham, specializing in the Microsoft cloud data stack. This is a client-facing role where you'll support fee-earning projects and contribute to the development of digital tools and data infrastructure.

With at least 2 years of data engineering experience, you will collaborate with project teams and stakeholders to deliver successful outcomes. Knowledge of SQL, Azure, and Microsoft Fabric is essential.

Azure Data Engineer for BI Pipelines & Lakehouse employer: Mace

Mace is an excellent employer that fosters a collaborative and innovative work culture, particularly for the Azure Data Engineer role in Birmingham. Employees benefit from ongoing professional development opportunities, a supportive environment that encourages creativity, and the chance to work on impactful projects that shape the future of digital tools and data infrastructure. With a focus on client engagement and teamwork, Mace offers a rewarding career path for those looking to make a meaningful contribution in the tech industry.

Mace

Contact Details:

Mace Recruitment Team

We think you need these skills to ace Azure Data Engineer for BI Pipelines & Lakehouse

Problem-Solving Skills
SQL
Python
Data Engineering
Data Pipeline Development
API Integration
Communication Skills