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Senior Data Engineer (m/f/d)

MM Group -
Wien, W

Jetzt bewerben

Details zur Stelle

Vollzeit

Vollständige Stellenbeschreibung

Req ID: 2123

Full-Time/Part-Time: Full-Time

MM is a global leader in consumer packaging. The Group provides packaging solutions for cartonboard and folding cartons with an attractive offer in kraft papers, uncoated fine papers, leaflets and labels. MM promotes sustainable development through innovative, recyclable packaging and paper products.

Our heart beats for talents - be one of them!

To strengthen our Data & Analytics team in Vienna, we are looking for a passionate Senior Data Engineer (m/f/d) . In this role, you design, build, and optimize scalable data solutions in a modern Microsoft Fabric Lakehouse environment , enabling reporting, analytics, and self-service BI through high-quality, governed data products.

Your Role

You design, build, and automate scalable data pipelines and Lakehouse solutions in Microsoft Fabric, ensuring reliable and governed data ingestion, transformation, and delivery
You take end-to-end ownership of data products, from requirements analysis, data modelling and optimization to development, automated testing, deployment, and operation
You ensure data quality, governance, security, and reliable automated operations through standards, metadata management, validation, monitoring, and access controls
You collaborate with architects, developers, and business stakeholders in an agile environment to deliver analytics-ready data products and drive continuous improvement

Your Profile

You bring solid experience in Data Engineering on modern cloud platforms (e.g., Microsoft Fabric, Azure Synapse, Databricks) and a strong understanding of Lakehouse architectures and analytics data modeling
You have strong technical skills in SQL, Spark, and Python, with hands-on experience in building, orchestrating, monitoring, and automating data pipelines and CI/CD processes.
You work in a structured, quality-oriented manner and are passionate about delivering scalable, low-maintenance, and business-focused data solutions
Ideally, you have experience with Microsoft Fabric, Power BI, self-service analytics, and data governance frameworks, including security and compliance considerations
You communicate effectively with technical and business stakeholders and have a proven track record of driving collaboration and successful delivery in agile, cross-functional, and scaled agile environments

Our Offer

We offer you a workplace in a stable, international company with long-term growth path. You can also look forward to interesting tasks with a high degree of management scope in a team that is collaborative, passionate, result-focused and responsible.

For this position, an annual compensation package starting at € 60,000 gross all-in is offered according to your qualifications and professional experience.

Our location is easily accessible by public transport and our MM canteen offers fresh lunch every day. Of course, there are excellent training opportunities within the group-wide MM-Academy and the possibility to work from home one day a week.

The following benefits complete our offer:

Flexible working hours
Contribution to vienna job ticket
Onboarding including plant tour
Healthcare benefits
Discounted shopping
Snacks including coffee, tea and fruit
Free charging stations for e-bikes

Interested? Send us your CV.

Your Talent Advisor:

MM Service GmbH

Daniela Pechotsch

(43) 66488646614

Jetzt bewerben

Erweiterte Suche

quality control Jobs in wien

Senior Data Engineer (m/f/d)

Expert IT Inhouse Consultant (m/f/d)

People Systems & Payroll

Workshop Management Operations Manager (m/f/d)

Senior Electrical Engineer LSS & Extra Low Voltage (m/f/d)

Assistant Manager m/w/d - Donau Zentrum, Hollister

Director of Business Development (Corporate)

Electrical Package Manager

Mechanical Construction Manager

OFCI Lead

Lead Senior Planner

Electrical Project Manager

Mechanical Project Manager

Mechanical Package Manager

Product Engineer II - Indoor Positioning Systems

More jobs to discover

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