Senior Databricks Engineer

Remote
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AI Summary

Design, optimize, and maintain modern data platforms using Databricks. Lead the implementation of scalable data processing solutions and collaborate with Solution Architects. Provide technical guidance and mentorship to other Data Engineers.

Key Highlights
Lead design and implementation of scalable data processing solutions
Collaborate with Solution Architects to define data engineering best practices
Provide technical guidance and mentorship to other Data Engineers
Key Responsibilities
Lead the design and implementation of scalable data processing solutions using Databricks
Design and optimize end-to-end data pipelines using Python, PySpark, and cloud-native tools
Collaborate closely with Solution Architects to define and enforce data engineering best practices
Ensure data quality, security, scalability, and performance across cloud environments
Take ownership of existing data solutions and drive optimization & continuous improvement
Provide technical guidance and mentorship to other Data Engineers
Technical Skills Required
Databricks Python PySpark Cloud-native tools
Benefits & Perks
Remote work
Competitive salary

Job Description


🌍 Work Model: Remote

🗣️ Language Required: Strong English communication skills


We are looking for a Senior Databricks Engineer with strong expertise in building scalable data solutions in cloud environments. You will play a key role in designing, optimizing, and maintaining modern data platforms.


💡 What you will do:

  • 🏗️ Lead the design and implementation of scalable data processing solutions using Databricks
  • ⚙️ Design and optimize end-to-end data pipelines using Python, PySpark, and cloud-native tools
  • 🤝 Collaborate closely with Solution Architects to define and enforce data engineering best practices
  • 🔐 Ensure data quality, security, scalability, and performance across cloud environments
  • 🔧 Take ownership of existing data solutions and drive optimization & continuous improvement
  • 🎓 Provide technical guidance and mentorship to other Data Engineers


🎯 What we’re looking for:

  • 📊 8–9+ years of experience in Data Engineering or related roles
  • ☁️ Strong experience with Databricks
  • 🐍 Solid knowledge of Python & PySpark
  • 🧠 Experience working with cloud platforms and distributed data systems
  • 👨 🏫 Strong collaboration and mentoring skills
  • 🚀 Ownership mindset and passion for improving data platforms


Datanet Systems is the leading Cisco partner in Romania and develops business partnerships with international suppliers such as EMC, VMware, Fujitsu, NetApp, Fortinet, FireEye, AirWatch, F5, Juniper Networks, Dell, Certes Networks, Aruba, Zoom International, and Nuance Communications.

The company has a competitive portfolio of solutions in the following areas: communications infrastructure, data centers and virtualization, unified communications, customer interaction, contact centers, and information security.


Datanet Systems has a team of 75 people in Bucharest, with more than 65 professional certifications.

Datanet Systems is part of SOITRON Group SE, a group of companies in which more than 900 employees carry out a business that exceeds 100 million euros annually in IT system integration and IT outsourcing services in Slovakia, Czech Republic, Bulgaria, UK, Poland and Turkey.


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