Data Engineer - Platform (all genders)

Babbel; Berlin; Vor Ort; Vertraulich; Vollzeit

Zusammenfassung

Join a forward-thinking company as a Data Engineer and be part of a dynamic team dedicated to transforming language learning through innovative data solutions. In this full-time role, you will develop and enhance our data platform, ensuring efficient data flows and automating processes. Collaborate with talented professionals in a fast-paced environment, utilizing cutting-edge technologies like AWS and PySpark. Enjoy a supportive workplace that values diversity, offers generous vacation days, and provides opportunities for professional growth through training and language courses. This is your chance to make a meaningful impact in the tech world!

Leistungen

30 vacation days plus a 3-month sabbatical

Flexible working hours

Remote options

Internal learning opportunities

Yearly budget for external training

Free language courses

Mobility benefits

Discounted Urban Sports Club membership

Participation in employee communities

Social events

Qualifikationen

• Proficiency in Python and PySpark with a focus on code improvement.
• Experience with AWS services and cloud architectures.

Aufgaben

• Shape and develop our data platform and secure our data infrastructure.
• Ensure efficient data flows with high-performance solutions.

Kenntnisse

Python

PySpark

AWS

ETL/streaming pipelines

Terraform

Github Actions

Testing

Logging

Monitoring

Alerting

Tools

Databricks

Snowflake

Airflow

DBT

Jobbeschreibung

We are looking for a Data Engineer (full-time) to join our Data Engineering team in Berlin.

As our newest Data Engineer in the 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 collaborate and explore different areas such as Data Engineering, Data Analytics, Site Reliability, InfoSec, and more to deliver innovations directly to our Babbel learners.

Responsibilities:

• Shape and develop our data platform
• Secure our data and infrastructure
• Ensure data flows efficiently (streaming and batch) with well-tested, high-performance solutions
• Automate processes wherever possible
• Implement monitoring and alerting systems
• Participate in knowledge sharing sessions

Qualifications:

• Proficiency in Python and PySpark, with a desire to improve our codebase
• Experience with AWS services and cloud architectures
• Experience designing ETL/streaming pipelines and managing data lakehouses (e.g., Databricks) and warehouses (e.g., Snowflake)
• Familiarity with Terraform and Github Actions
• Experience with testing, logging, monitoring, and alerting; passion for these areas is a plus
• Fluent in written and spoken English

Nice to have:

• Experience scheduling complex data workflows with Airflow or DBT
• Interest in promoting a DevOps mindset
• Experience with Machine Learning or building ML-driven data products

Perks of working at Babbel:

• 30 vacation days plus a 3-month sabbatical, plus family and life counseling
• Flexible working hours and remote options, including EU-based Jobbatical (up to 3 months) or working from our office with amenities
• Internal learning opportunities and a yearly budget for external training; free language courses with Babbel
• Mobility benefits and discounted Urban Sports Club membership
• Participation in employee communities and social events

Diversity at Babbel

We value diversity and encourage applications from underrepresented groups in tech. We assess candidates based on skills, qualifications, and business needs. Please share your pronouns and any accessibility needs during the application process.