Job Description: Senior Data Engineer (m/w/d)

Company: Our Partner Company (Berlin, Germany)
Position: Senior Data Engineer
Number of Positions: 1
Location: Berlin (Hybrid)
Salary Range: €65,000 - €80,000
Benefits: VSOP Program Negotiable
Employment Type: Full-time
Experience Required: Minimum 3 years (ideally 5+)
Languages:

• Must-have: English (C1)
• Nice-to-have: German

About the Company

Our partner company, headquartered in Berlin, is at the forefront of intelligent content traffic steering and automated load balancing in large-scale IP networks. They help telco operators efficiently manage the complexities of global internet content delivery. The company values honesty, transparency, and a positive, fun working environment.

Role Overview

This role is ideal for a Senior Data Engineer with expertise in distributed systems, proficiency in Go Lang, Python, SQL-based DBMS, and a strong understanding of the Linux Dev Ops toolchain. Candidates will thrive in an environment focused on improving internet traffic performance through innovative solutions and scalable data processing. You will be responsible for developing and maintaining large-scale data pipelines, collaborating with cross-functional teams, and automating key processes for real-time data operations.

Key Responsibilities

• Design, prototype, and maintain scalable data pipelines for data-intensive distributed systems.
• Optimize, debug, and abstract customer network setups for real-time data processing.
• Automate data-loading procedures and improve testing automation practices.
• Collaborate with cross-functional teams to ensure efficient data operations.
• Build scalable and generic solutions for customer network challenges.

Qualifications & Skills

• 3+ years of experience in data-intensive distributed systems.
• Proficient in scripting and object-oriented programming (Go Lang, Python, Bash, C++).
• Experience with SQL-based DBMS and familiarity with the GNU/Linux Dev Ops toolchain.
• Solid experience with CI/CD using Git Lab, Docker, and related tools.
• Familiarity with monitoring, reporting, and alerting tools like Graylog, Kibana, and Bonfire.

Tech Stack

• Languages: Go Lang, Python, C++, Bash
• Operating System: Linux
• Tools & Frameworks: Docker, Git Lab, Click House (SQL-based DBMS)
• Monitoring & Alerting: Kibana, Graylog, Bonfire

Work Policy

• Hybrid Model: Flexible hybrid policy with more in-office time during onboarding. After onboarding, office visits are only required for specific meetings (e.g., 1x per month or for annual all-hands meetings).

Benefits

• Full flexibility in working hours and location after onboarding.
• Health benefits, including free health checks and flu vaccines.
• Learning and development programs.
• Pension scheme and virtual stock options (VSOP).
• Bike leasing program, subsidized public transport.
• Discounts on products and services.
• Additional leave for child care during illness.

Hiring Process