We are looking for a Senior Data Engineer (full-time) to join our Data Engineering team in Berlin.
Do you want to help us leverage data to transform the way people learn languages? Join us as a Senior Data Engineer and play a pivotal role in empowering millions of individuals worldwide to explore new languages and cultures. As part of our diverse and supportive team, you'll enjoy flexible work hours and remote options while taking the lead in shaping our data architecture and designing innovative data models.
At Babbel, our Data Engineering team is focused on creating simple yet powerful systems that process streaming and batch data to power the user's app experience and drive insightful analytics. You will specialize in handling streaming data from our apps, as well as ETL pipelines and data models, that integrate with our core product features. These services are crucial for understanding how users interact with our app, tracking time spent, and counting activities as they happen.
You will:
- Spearhead the development and optimisation of our data collector, focusing on event and real-time streaming use cases
- Lead the design and implementation of data models to support business needs at scale using dbt, Snowflake and Databricks Lakehouse Platform
- Collaborate with data analysts and data scientists to deliver high-quality data solutions
- Build a data observability and monitoring solution for data streaming services
- Design, build, and maintain APIs and SDKs to enable self-service access to the data products / services for internal teams
- Participate in our knowledge sharing sessions (we're a learning company, after all!)
- Mentor and coach other data engineers, fostering a culture of learning and growth
You have:
- Computer science or related engineering degree and 5+ years of experience with Python with focus on building data pipelines
- In-depth SQL knowledge and extensive experience working with dbt
- Attention to detail, a strong sense for data, and a deep commitment to ensuring data quality
- Solid experience in Dimensional Modeling, Data Warehousing and Spark streaming
- Hands-on experience with cloud data warehouses, ideally Snowflake or Databricks Lakehouse Platform
- Experience with AWS services (ECS, Lambda functions, S3, DynamoDB, Kinesis etc.), operations and architecture
- Experience with Infrastructure as Code (preferably Terraform)
- Deep understanding of API development and experience building SDKs for internal tooling or third-party use
- Strong communication skills and eagerness to participate in cross-functional projects to support the development of our Data Products
- Skill to write clear documentation and debug data effectively
Nice to have:
- Experience in backend development and deployment
- Experience organizing knowledge sharing sessions and mentoring other engineers
- Building customer-facing data observability and reporting systems with tools such as AWS QuickSight, DataDog
- Solid understanding of data governance principles and best practices
- Designing data architecture for a domain or a whole company
Some perks of becoming a Babbelonian:
- Enjoy 30 vacation days and the chance to take a 3-month Sabbatical. Plus family and life situation counseling.
- Decide how, when and from where you want to work with our flexible working hours and remote friendly options as Jobbatical (up to 3 months inside the EU) or work from our fully equipped office with nap, faith and family rooms.
- Learn and grow with the internal learning opportunities, and use a yearly learning & development budget for external training. Learn languages with Babbel for free with your full access to Babbel & Babbel Live classes.
- Take advantage of your mobility benefits options and a discounted Urban Sports Club membership.
- Be part of our employee communities (such as Femgineers, DE&I Ambassadors and LGBTQIA groups), attend cultural and regular social events.
Diversity at Babbel
As part of our ongoing journey towards building a diverse, equitable and inclusive company, we welcome everyone to apply, especially those individuals who are underrepresented in tech. We are a learning company, inside and out, and we encourage you to apply even if you do not fit all the technical requirements - all candidates are assessed based on skills, qualifications and on our business needs. Please state your pronouns in your application, and let us know if you’d like to be addressed by a name other than the one appearing on your official documents. If you have a disability or special need, feel welcome to inform us, so that we can provide you with the proper assistance in the application process.
