DATABRICKS DATA ENGINEER- (fully remote)
Matej Cintula
421908062054
cintula@synergie.sk
Salary
Depends on the seniority of the candidate
Place of work
Czech Republic
Position description
Turn massive datasets into solutions that matter
Do you enjoy building data pipelines, working with Databricks and solving problems that cannot be handled by traditional data platforms?
Join an international Data & AI environment where you will design and build scalable solutions for large and diverse datasets. You will work with Databricks, Python and leading cloud platforms while collaborating with experienced data engineers and solution architects.
The role is ideal for someone who wants to deepen their Databricks expertise while gaining exposure to modern cloud, streaming, DevOps and AI-driven projects.
What will you do?
Design and implement large-scale data processing solutions using Databricks.
Build, maintain and improve modern data pipelines.
Develop data transformation and automation solutions using Python.
Work with cloud-native data engineering services across AWS, Azure or GCP.
Process large and diverse datasets in distributed environments.
Collaborate with solution architects on scalable data architectures.
Define and follow Data Engineering best practices.
Improve the performance, reliability and maintainability of existing solutions.
Ensure data consistency, security and scalability.
Contribute to the automation of development and deployment processes.
Cooperate with international technical and business teams.
Benefits
Modern international Data & Cloud projects.
Opportunity to develop deep Databricks and cloud expertise.
Exposure to large-scale enterprise data environments.
Collaboration with experienced data engineers and architects.
Support for certifications and professional education.
Access to global technical expertise and international career opportunities.
Flexible working culture based on trust and results.
Hybrid/home-office possibilities.
Flexible working hours.
Meal vouchers.
Multisport card.
Birthday day off.
Free access to an office gym.
Monthly company breakfasts.
Opportunities to participate in volunteering and social-impact initiatives.
Requirements
Professional experience in Data Engineering.
At least 1 year of hands-on commercial experience with Databricks.
Strong Python skills, particularly for data transformation and automation.
Practical experience with at least one major cloud platform: AWS, Azure or GCP.
Understanding of modern data pipelines and cloud-based data architectures.
Ability to communicate effectively within international teams.
Strong English language skills.
About the company
It is a global technology and consulting company working with major international clients across industries. The company delivers projects in Cloud, Data, AI, Software Engineering and Digital Transformation, with teams operating across multiple European countries. It offers the stability of a large international organization while giving employees access to complex, global-scale projects.
I am interested in the position
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