Senior Data Engineer - Kafka Streams

This job can be done entirely remotely within the EU.

Join our client, a dynamic EdTech company that empowers individuals to achieve their life goals through transformative educational services. With a high social impact, you'll be part of meaningful work that makes a difference. Boasting a team of 150+ tech experts, our client constantly innovates to improve their business and customer experience.

As a Data Engineer, you'll collaborate with the Data team to build cutting-edge digital platforms. Thrive in an international work environment that embraces change and be part of a team dedicated to reshaping the future of education by delivering real-time, actionable insights for users.

Responsibilities:

• Design/implement scalable data pipelines using Kafka, dbt, Airbyte, Snowflake, etc.
• Ensure correctness and reliability of real-time insights.
• Mentor and guide team members on data engineering best practices.
• Collaborate with stakeholders to understand requirements and ensure delivery.

The work environment:

• Remote-first, the cross-functional team across Europe.
• Agile practices, collaboration, knowledge-sharing.
• Emphasis on social aspects and having fun.

Ideal candidate:

• Hands-on experience with Kafka and other data processing technologies.
• Proficient in designing/implementing data pipelines.
• Can code in Python, Java, or Scala; proficient in SQL.
• Strong communication skills (written and verbal).

Bonus:

• Experience in collaborative data teams.
• Familiarity with modern data ingestion/transformation tools.
• Experience with cloud-based data processing (e.g., Snowflake).
• Knowledge of ML frameworks (e.g., PyTorch, Tensorflow) or willingness to learn.
• Awareness of data governance procedures.