Jobs in Germany
Was wir bieten
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)
Google Analytics, Google Tag Manager, Rudderstack, Tableau, Looker, Adjust, Braze, Emarsys, AWS, BigQuery, Firebase, Airflow, dbt, Databricks, Amplitude
Wen wir suchen
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.
Was du mitbringst
A Master’s degree in a quantitative discipline such as computer science, statistics, applied mathematics, engineering, or a related field.
4-7 years of relevant experience with a proven track record of building and maintaining data warehouses in an industry context.
Proficiency in SQL and Python (must-have).
Hands-on experience with Google Cloud Platform (BigQuery, GCS) or similar cloud services (AWS, Azure).
Strong expertise with data orchestration tools such as Airflow or RudderStack.
Familiarity with Databricks for advanced data processing and transformations.
Experience with ETL/ELT concepts and writing test cases for efficient data governance.
Working knowledge of Git/GitHub/GitLab for version control and CI/CD pipelines.
Proficiency in Bash/Linux scripting.
Ability to transform raw data into structured formats to support analytical objectives and empower decision-making at scale.
Strong communication skills to present technical concepts, proofs of concept, and data models to a broad range of stakeholders.
A passion for fast-paced environments and startups, with a willingness to adapt and learn new tools and technologies.
Nice to have/Bonus:
Familiarity with the digital marketing & product ecosystem (e.g., attribution, performance, event tracking, subscriptions, and e-commerce).
Experience with container-based environments (Docker/Kubernetes).
Knowledge of Terraform for infrastructure automation.
Experience with visualization tools such as Tableau, Apache Superset, or Looker.
It’s not necessary that you should have all the skills. A combination of four or more, and ability to learn fast should be sufficient based on seniority levels.
Helpful information
- Read what is f/m/d in the job title
- Learn how to find English speaking jobs in Germany
