Jobbeschreibung
Let's #CreateMomentsThatMatter together! ProSiebenSat.1 is the home of popular entertainment as well as infotainment and a leading entertainment player in the German-speaking region. We complement our core Entertainment business with digital consumer brands in the Commerce & Ventures and Dating & Video segments. Behind ProSiebenSat.1 there are over 6,000 employees, who inspire our audience and customers with great passion day by day. Success stories start here. Yours too? Let's #CreateMomentsThatMatter together!Join us as a Senior Data Engineer in our Data Engineering Revenue team, where you'll play a pivotal role in designing and maintaining robust data models for our revenue data, that drives decision-making across our entertainment business - including both broadcast and digital platforms.
You can expect to work on complex Ad Tech and Monetarization Models, mentor engineering teams, and ensure efficient data pipeline development to support analytics and business intelligence goals across our whole Organization.
In this position, you work within our hybrid model "Highly Remote".
The contractually agreed place of work will be Unterföhring near Munich or Berlin. Possible travel costs to the place of work will not be reimbursed.
What you can expect in this role
- You design, build, and maintain scalable, reliable data models using SQL and DBT in Snowflake, ensuring data quality and clarity for downstream analytics and reporting
- Scalable DWH solutions are designed and optimized by you, and robust, orchestrated data pipelines are built to deliver high-quality monetization and AdTech data for analytics
- You collaborate closely with stakeholders across Analytics, BI, Reporting, and Controlling teams to understand requirements and explain our data to ensure alignment and usability
- Prioritizing, executing, and iterating quickly with a strong "get things done" mindset comes naturally to you
- The bar on quality, scalability, and efficiency is raised by you, using modern data engineering practices and cloud infrastructure
- Architectural discussions are enriched by your contributions, and you lead implementation of data solutions within your team, collaborating closely with stakeholders across the Data Tech department
- You have several years of experience as a Data Engineer
- Proven experience in designing scalable ETL/ELT processes and large-scale cloud data models, ideally using methodologies such as Data Vault 2.0, is what you bring to the table
- You demonstrate expertise in Python and SQL, with hands-on experience building pipelines and workflows using orchestration tools (e.g., Prefect, Airflow)
- Strong experience with cloud-native data warehousing solutions (e.g., Snowflake, Databricks) and ideally with real-time data processing architectures is what sets you apart
- Excellent communication skills enable you to work closely with stakeholders to understand requirements and translate them into effective data solutions
- Take advantage of our wide range of training and development opportunities at the ProSiebenSat.1 Academy
- We advance your AI skills through internal training and our vibrant AI community. For us AI is not a future topic, but already shapes our daily work as an integral part of the value chain - from content creation to distribution
- Benefit from a great flexibility and the possibility of mobile working thanks to our hybrid working model "NWOW" (New Ways of Working) as well as 30 days of vacation per year
- Make use of our international mobile working agreement from 25 EU countries and Switzerland - for up to 30 days within twelve months
- Benefit from a highly discounted, Germany-wide membership at Urban Sports Club, a free Joyn Plus+ subscription as well as numerous other special discounts of our partners
- Receive support in all situations of life, e.g. with our campus-owned daycare center, a childcare allowance or the BUK Family Service with free advice, for example on the topic of care. With our regular "Mental Health Days", we also send a clear signal for more awareness on the topic of mental health in everyday work life
- Use our wide range of campus services at our headquarter including a canteen with fair prices, different coffee bars or our massage service
- Enjoy an open corporate culture without a dress code
- Join our P7S1 employee networks and get engaged in a topic you are passionate about, e.g. PROUD, Greenteam, fempowerment, language buddies