WE OFFER

• Purpose. Use your skills for something good and work with our passionate team to improve the quality of our user’s lives through mindfulness.
• Mindful, supportive, and safe environment for individuals to grow professionally and personally
• Regular workshops and team-building events (remote and on-site)
• Learning budget (books, conferences, etc.)
• Diverse and inclusive team from over 10 nationalities
• Health and wellness perks, including flexible options to suit different needs (e.g. Urban Sports Club or EGYM Wellpass)
• Comprehensive mental health support through nilo.health
• Lifetime access to 7Mind Plus
• Flexible working hours (80%, 90%, or 100% weeks)
• Flexible home office policy (post-COVID hybrid office/remote working)

ABOUT US

7Mind empowers people and organizations alike to lead healthy, happy and purpose-driven lives since 2014. With more than 2.5 million downloads to date, 7Mind has become one of Germany’s most popular online meditation training and is still growing.
Our goal is to help people pay as much attention to their mental well-being as they do to their physical health. In cooperation with seasoned meditation teachers, as well as healthcare experts, we strive to develop high quality training that provide the easiest access possible to meditation and mindfulness.
We are a Berlin-based start-up in Kreuzberg with a creative, international, and close-knit team of 50 employees

As the Senior Data Engineer, you’ll play a pivotal role in shaping and scaling our data infrastructure to empower actionable insights and data-driven strategies. Reporting directly to the Head of Data & Analytics, you will own all data engineering initiatives at Gymondo, with the goal of scaling your impact across all sister companies within the holding along with fellow engineers.

With a modern tech stack and exciting cross-functional challenges, this role is perfect for someone passionate about building scalable data systems, enabling stakeholders, and proactively driving data innovation.

• Data Infrastructure Ownership: Design, build, test, and maintain scalable, reliable, and secure data pipelines and architectures.
• Cross-functional Collaboration: Work closely with Marketing, Product, Engineering, and Content teams to ingest new data sources, automate workflows, and provide actionable insights.
• Tool Implementation: Support the implementation of new data tools (e.g., customer data platforms, database replication for live CRM streams).
• Data Architecture Leadership: Shape and document scalable data guidelines, ensuring compliance with data governance and security policies.
• Data Model Development: Acquire datasets and design models that align with business needs and KPIs.
• BigQuery Optimization: Optimize performance and cost-efficiency of the BigQuery ecosystem.
• Event Tracking Design: Collaborate with app and web developers to design event logs and align with analytics KPIs.
• Knowledge Sharing: Proactively share knowledge about data assets and best practices with data producers and consumers.

Stakeholder Communication: Present complex data topics to both technical and non-technical team members across organizational levels.