dev-ops

Babbel

<div><p><strong>We are looking for a Data Engineer (full-time) to join our Data Engineering team in Berlin.</strong> </p> <p>As our newest Data Engineer in Data Platform team, your mission at Babbel will be to change the face of language learning one automation at a time. Working alongside your teammates in a fast-paced environment, you'll be collaborating and diving into different areas such as Data Engineering, Data Analytics, Site Reliability, InfoSec and many more to deliver innovations right on our Babbel learners hands.</p> <h2>You will:</h2> <ul> <li>Shape our data platform</li> <li>Secure our precious data and the infrastructure it relies upon</li> <li>Keep the data moving towards where is actually needed (streaming and batch) with well-tested and performant solutions</li> <li>Automate them all!</li> <li>Monitoring and alerting (might be boring, but… refer to the previous point)</li> <li>Participate in our knowledge sharing sessions (we're a learning company after all!)</li> </ul> <h2>You have:</h2> <ul> <li>Good programming skills in Python and PySpark and want to raise the bar for our codebase</li> <li>Confidence in working with AWS services and cloud architectures</li> <li>Experience implementing ETL/streaming pipelines and/or managing data lakehouses (like Databricks) and warehouses (like Snowflake).</li> <li>Familiarity with Terraform and Github Actions</li> <li>Been there, done that, at testing, logging, monitoring and alerting (better yet if you still love it!)</li> <li>Fluency in written and spoken English</li> </ul> <h2>Nice to have:</h2> <ul> <li>Scheduled complex data flows with Airflow or DBT</li> <li>Been keen on evangelizing the DevOps mindset across your workplace</li> <li>Showed interest in Machine Learning / have experience building ML-driven or algorithmic data products</li> </ul> <h2>Some perks of becoming a Babbelonian:</h2> <ul> <li>Enjoy 30 vacation days and the chance to take a 3-month Sabbatical. Plus family and life situation counseling.</li> <li>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.</li> <li>Learn and grow with the internal learning opportunities, and use a yearly learning &amp; development budget for external training. Learn languages with Babbel for free with your full access to Babbel &amp; Babbel Live classes.</li> <li>Take advantage of your mobility benefits options and a discounted Urban Sports Club membership.</li> <li>Be part of our employee communities (such as Femgineers, DE&amp;I Ambassadors and LGBTQIA groups), attend cultural and regular social events.</li> </ul> <p><strong><em>Diversity at Babbel</em></strong></p> <p><em>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.</em></p></div>

Data Engineer - Platform (all genders)

Es werden keine Bewerbungen mehr angenommen.