TL;DR

Senior Data Engineer (Backend): Designs, builds, and maintains scalable data platforms and solutions tailored to business needs with an accent on optimizing and monitoring data workflows to ensure performance, scalability, and reliability. Focus on applying innovative solutions to complex challenges.

Location: Berlin, Germany. Flexible hybrid work model.

Salary: starting from a monthly gross salary € 3.843

Company

%hirify_global% is a leading software and digital engineering services company with global market reach and capabilities.

What you will do

Design, build, and maintain scalable data platforms and solutions tailored to business needs.
Collaborate with stakeholders across teams to understand requirements and deliver impactful data initiatives.
Optimize and monitor data workflows to ensure performance, scalability, and reliability.
Stay ahead with the latest trends in data technologies, applying innovative solutions to complex challenges.

Requirements

Minimum 3 years in designing and implementing data solutions, platforms, and interfaces.
Proficient in data modeling.
Hands-on with modern data technologies, cloud platforms, big data tools, data warehousing.
Knowledge of software development, CI/CD pipelines and Git.
Experience with cloud-based data platforms, Medallion architecture, Azure Data Factory, Databricks and/or Microsoft Fabric.
German: C1 level and English for stakeholder discussions.

Nice to have

Valid certifications in Databricks, Microsoft Fabric (and MS Azure).

Culture & Benefits

Professional growth and meaningful projects.
Open culture and an outstanding work-life balance.
Flexible hybrid work model.
Laptop and smartphone also for private use.
Health programs and team events.