Senior Data Engineer Customer Experience

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Engineer Customer Experience (m/w/d) in Germany.

As a Senior Data Engineer focused on Customer Experience, you will design, implement, and maintain robust data pipelines that process customer interactions in near real-time, enabling actionable insights and improved experiences. You will collaborate with cross-functional teams to ensure data availability for analytics and machine learning, while supporting infrastructure and MLOps practices. Your work will directly impact the quality of customer interactions, helping teams make informed decisions and continuously enhance the customer journey. This role combines technical expertise, creativity, and collaboration in a dynamic, fast-evolving environment focused on data-driven excellence.

Accountabilities

• Design, develop, test, and maintain data pipelines for near real-time processing of customer data.
• Manage infrastructure for data consumers, supporting deployment of machine learning models and integration of new data sources.
• Implement best practices in CI/CD, DevOps, and MLOps to improve the development lifecycle.
• Continuously improve the development process, ensuring high quality, scalability, and reliability of data workflows.
• Collaborate with team members to derive insights from customer interactions and drive enhancements in customer experience.
• Mentor colleagues and share technical knowledge to foster team growth and capability development.

• Degree in Computer Science or equivalent with strong analytical skills.
• Extensive experience building data processing pipelines from diverse source systems (e.g., HTTP endpoints, Blob storage, relational databases).
• Advanced proficiency in Python and Spark, preferably on Databricks, with solid knowledge of Microsoft Azure and Infrastructure as Code (e.g., Terraform).
• Strong communication skills, capable of conveying technical concepts to both technical and non-technical audiences.
• Experience mentoring team members and fostering knowledge sharing.
• Fluent in German (C1) and strong English skills.
• Eagerness to continuously expand expertise in cloud and data engineering, as well as text analytics, deep learning, and LLMs.

• Flexible remote work options within Germany with full technical setup provided.
• Flexible working hours and opportunities for time-off adjustments to support work-life balance.
• Comprehensive professional and personal development opportunities, including internal communities for learning and networking.
• Participation in a collaborative, inclusive, and diverse work environment.
• Access to the latest data engineering technologies and projects impacting customer experience.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
It compares your profile to the job's core requirements and past success factors to determine your match score.
Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest

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