Data Engineer (all genders)
@ Babbel

Berlin, Germany
On Site
Posted 5 days ago

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Job Details

Overview

Babbel is seeking a Data Engineer to join our Data and Analytics Engineering team in Berlin. The team is committed to empowering data-driven decision-making across the organization by designing, building, and maintaining data infrastructure and pipelines.

Responsibilities

  • Design, build, and optimize scalable data pipelines and integrations using Databricks (Python), dbt, and related tools.
  • Develop and maintain analytics workflows and dashboards in Tableau and Databricks Notebooks.
  • Support data migration and management across platforms including Snowflake and Databricks.
  • Integrate data from various sources using tools like Fivetran.
  • Collaborate with analytics, product, and engineering teams to deliver actionable insights.
  • Maintain and improve AWS-based data infrastructure with a focus on security and cost-effectiveness.
  • Participate in projects involving machine learning engineering and MLOps practices.
  • Contribute to a culture of knowledge sharing and continuous improvement.

Requirements

  • Practical experience with Databricks (Python), Snowflake, dbt, and AWS.
  • Familiarity with the Databricks Data Intelligence Platform, unified analytics and ETL/ELT practices.
  • Experience with data pipeline orchestration and integration tools (e.g., Fivetran).
  • Proficiency in Python, SQL, and PySpark.
  • Understanding of data governance, security, and compliance in cloud environments.
  • Excellent communication skills in English.
  • Bonus: Experience or interest in MLOps and machine learning engineering.
  • Nice to have: Experience with orchestration tools (e.g., Airflow) and RAG architectures.

Benefits

  • 30 vacation days plus additional family/life counseling.
  • Flexible working hours and opportunities to work Jobbatical.
  • Access to fully equipped office with dedicated spaces.
  • Internal learning opportunities and an annual training budget.
  • Discounted Urban Sports Club membership and mobility benefits.
  • Inclusive DE&I Community Networks and regular social events.

Key skills/competency

  • Data Engineer
  • Databricks
  • Snowflake
  • dbt
  • AWS
  • Python
  • SQL
  • PySpark
  • Fivetran
  • Tableau
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How to Get Hired at Babbel

🎯 Tips for Getting Hired

  • Research Babbel's culture: Study their mission, values, and news on LinkedIn and Glassdoor.
  • Tailor your resume: Highlight skills in Databricks, Python, and Snowflake.
  • Prepare technical stories: Be ready to explain data pipeline projects.
  • Practice interview insights: Focus on data engineering scenarios and problem-solving.

📝 Interview Preparation Advice

Technical Preparation

Review Databricks, Python, and Snowflake.
Practice building scalable data pipelines.
Study AWS security and cost optimization.
Refresh knowledge on SQL, PySpark, and dbt.

Behavioral Questions

Describe team collaboration experiences.
Explain handling tight deadlines in projects.
Share a time of problem solving under pressure.
Discuss adapting to new technologies.

Frequently Asked Questions