Senior Data Engineer

Summary

Join xentral's analytics team as a Senior Data Engineer to build and maintain cloud-based BI infrastructure. Collaborate with Data Scientists and internal teams to create scalable data pipelines, enable ML-driven automation, and support AI-based tools. Manage, optimize, and expand the BI infrastructure on AWS, designing and maintaining data pipelines using Apache Airflow and Spark. Ensure data governance, implement automated data quality tests, and operationalize AI/ML models. Develop internal automation tools and analyze data using SQL and Python to provide actionable insights. Bridge the gap between data engineering and data science, focusing on enabling data use. This role requires strong collaboration skills and a proactive approach.

Requirements

• You have a degree in Computer Science, Engineering, or a related technical field — an advanced degree is a plus
• You bring 5+ years of hands-on experience with Python in a production environment
• You have solid experience working with Apache Airflow for orchestration and Apache Spark for distributed data processing
• You know your way around the AWS ecosystem and have managed cloud-based data infrastructure
• You are confident working with SQL and have a strong interest in data analysis
• You’re experienced with both relational and NoSQL databases and can handle structured as well as unstructured data
• You enjoy collaborating across teams and take pride in building tools and pipelines that empower others
• You’re structured, autonomous, and proactive — you take ownership and drive things forward

Responsibilities

• Manage, optimize, and expand our BI infrastructure in the AWS cloud
• Design and maintain batch and streaming data pipelines using Apache Airflow and Spark
• Ensure data governance and implement automated data/code quality tests
• Collaborate with Data Scientists to operationalize AI/ML models and build infrastructure to support their deployment
• Develop internal tools and pipelines for automation use cases, e.g., AI bots for customer support and ML-driven solutions for Finance and CPS teams
• Analyze data using SQL and Python to support internal stakeholders with actionable insights
• Use and maintain structured and unstructured data from a wide range of sources
• Help bridge the gap between data engineering and data science — focusing on enabling data use, not building models yourself

Preferred Qualifications

You’re fluent in English; German skills are a plus

Benefits

• Flexible Work Environment: Enjoy remote work options across Europe or from our office-hubs in Augsburg, Amsterdam, Berlin, Munich, and Lohne (Oldenburg), along with flexible working hours
• Competitive Compensation & Comprehensive Benefits: Attractive salary packages and a generous leave policy that includes 28 annual leave days, special leave days, and nursing care days
• Our comprehensive benefits package also provides a monthly voucher to choose from a variety of providers, including Urban Sports Club, grocery stores, entertainment, and lifestyle options
• Additionally, we equip all employees with state-of-the-art home office equipment and offer a 50% subsidy on private pension plans for permanent employees in Germany
• Professional Growth & Development: Benefit from a significant budget dedicated to learning and personal development, supporting your career growth and continuous learning
• Inclusive & Engaging Culture: Participate in virtual and in-person company events and in our yearly culture connect days, fostering a collaborative and vibrant company culture with minimal hierarchies and respectful communication
• Diverse & International Team: Work alongside a multicultural and international team across 17 different work locations within Europe and 32 nationalities, embracing diversity and a global perspective
• Mental Health & Well-being: Access comprehensive, evidence-based mental health care with 24/7 counseling, therapy placement, on-site support, and legal and financial guidance to help you thrive at work and in life