Task
Lead one of MHP's local Data Engineering teams: shape the data infrastructure, guide team members, and ensure the effective delivery of data solutions
Design, build, and optimize data pipelines and workflows, using Microsoft Fabric and the Microsoft Azure Data Stack, together with SQL and Python/PySpark
Drive best practices in data warehousing, data modeling, and ETL processes, ensuring scalability, efficiency, and reliability
Act as a technical advisor to guide architectural decisions, data governance, and quality standards, aligning with best practices and industry standards
Provide expertise in using Azure DevOps for CI/CD and pipeline management, promoting version control, testing, and automation
Lead, mentor, and grow a team of data engineers, fostering a collaborative and high-performance work environment
Act as a staffing and opportunity manager, aligning team members to the right projects and opportunities to maximize impact and career growth
Collaborate with cross-functional teams, stakeholders, and leadership to identify and fulfill data needs and align data solutions with business goals
QualificationsQualificationsQualifications
Must have:
Expert knowledge of SQL, data modeling and data warehousing
Strong knowledge of Microsoft Fabric, Python/PySpark, and Power BI (or similar tools)
Extensive experience with Microsoft Azure, with a focus on data engineering solutions (Data Factory, Synapse, DevOps)
Proven track record as a team leader, including experience in staffing, project management, and mentorship
Strong problem-solving skills, with the ability to develop creative solutions and approaches to data engineering challenges
Excellent interpersonal and communication skills, capable of collaborating with both technical and non-technical stakeholders
Nice to haves:
Experience with Microsoft SQL Server Integration Services
Expertise in Databricks
Familiarity with DBT is a strong plus
Azure certifications such as Microsoft Certified: Fabric Analytics Engineer Associate
Bachelor's Degree in Computer Science or Data Structures / Data Engineering is an advantage
Things to know before departure:
Start: by arrangement - always on the 1st and 15th of the month
Working hours: full time (40h); 27 vacation days
Employment contract: Unlimited
Line of work: Consulting
Language skills: Fluency in written and spoken English; German is a plus
Flexibility & willingness to travel
Other: a valid work permit
For more detail, salary and company information, use the apply link
