Yepoda is seeking a Senior Data Engineer to architect and optimize data infrastructure for scalable analytics and machine learning initiatives. Join our innovative team in Berlin to transform raw data into actionable insights that drive business growth.

At Yepoda, we're revolutionizing [industry, e.g., edtech or whatever fits – assuming software], and we're looking for a talented Senior Data Engineer to join our engineering team. In this role, you'll play a pivotal part in designing, developing, and maintaining robust data architectures that support our platform's growth.

Key Responsibilities:

• Design and implement scalable data pipelines to ingest, process, and store large volumes of data from various sources.
• Optimize data flows for performance and reliability, ensuring high availability and low latency.
• Collaborate with data scientists, analysts, and product teams to define data requirements and deliver solutions that enable advanced analytics and ML models.
• Mentor junior engineers and contribute to best practices in data governance, security, and quality.
• Stay ahead of industry trends by evaluating new tools and technologies to enhance our data ecosystem.

You'll thrive in a fast-paced, collaborative environment where innovation is encouraged, and your contributions directly impact our users. With a focus on work-life balance and continuous learning, Yepoda offers the tools and support you need to excel.

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• 5+ years of experience in data engineering roles, with expertise in building ETL pipelines using tools like Apache Spark, Kafka, or Airflow
• Proficiency in SQL, Python, and cloud platforms such as AWS, GCP, or Azure
• Strong knowledge of data warehousing solutions (e.g., Snowflake, Redshift) and big data technologies (e.g., Hadoop, Hive)
• Experience with version control systems like Git and CI/CD practices
• Excellent problem-solving skills and ability to work in agile environments
• Fluency in English; German is a plus

• Competitive monthly salary in the range of €7000-€10000, depending on experience
• Flexible remote work options with occasional on-site collaboration in Berlin
• Comprehensive health insurance and pension contributions
• 30 days of paid vacation plus public holidays
• Professional development budget for courses, conferences, and certifications
• Modern office with ergonomic setups and team-building activities
• Stock options and performance bonuses