Lead Data Platform Engineer at saas | Austria
Company/Recruiter: saas
Published on: 11:01 AM | Aug 15, 2026
✦ AI Summary
Are you a seasoned Data Platform Engineer looking to make a significant impact in the dynamic world of digital audience measurement?
Are you a seasoned Data Platform Engineer looking to make a significant impact in the dynamic world of digital audience measurement? saas.group is seeking a Lead Data Platform Engineer for our INFOnline team, a leading brand in Austria and Germany, dedicated to powering the media industry's understanding of digital audiences. Join us in shaping the future of data processing, where our systems handle billions of data points daily to provide crucial insights.
Job Overview
As the Lead Data Platform Engineer for INFOnline, you will be instrumental in designing, building, and maintaining our robust and scalable data infrastructure. You'll guide a talented team, ensuring the reliability and performance of our data pipelines and systems that are central to the German and Austrian media landscape. This role demands a strategic mindset, strong technical leadership, and a passion for data at scale.
Key Responsibilities
- Lead the design, development, and implementation of our data platform infrastructure.
- Architect and optimize data pipelines for massive scale and high throughput.
- Mentor and guide junior engineers, fostering a collaborative and high-performing team environment.
- Ensure the scalability, reliability, and security of our data systems.
- Collaborate with product and engineering teams to define data strategy and requirements.
- Drive continuous improvement in data processing efficiency and data quality.
Requirements
- Proven experience in leading data engineering teams and projects.
- Extensive expertise in building and managing large-scale data platforms.
- Proficiency in data warehousing, ETL/ELT processes, and distributed data systems.
- Strong understanding of cloud-native data services (e.g., AWS, GCP, Azure).
- Excellent programming skills in languages like Python, Java, or Scala.
- Experience with big data technologies (e.g., Spark, Hadoop, Kafka).
- Solid understanding of data modeling and database technologies.
- Strong analytical and problem-solving abilities.
What We Offer
- The opportunity to lead critical data infrastructure for a market-leading product.
- A dynamic and international work environment within a growing SaaS group.
- Collaborative team culture with a focus on innovation and professional development.
- Exciting challenges in handling and processing massive datasets.
- Competitive compensation and benefits package.
- Opportunities for career growth and advancement.