Data Engineer (m/f/*)
Our Engineering community is growing, and we’re now looking for a Data Engineer to join our team supporting our global growth.
As Data Engineer, you design and optimize data processing algorithms on a talented, cross-functional team. You are familiar with the Apache open-source suite of technologies and want to contribute to the advancement of data engineering.
WHAT WE OFFER
- A chance to accelerate your career and work with outstanding colleagues in a supportive learning community split across 3 continents
- Contribute your ideas to our unique projects and make an impact by turning them into reality
- Balance your work and personal life through our workflow organization and decide yourself if you work at home, in the office, or on a hybrid setup
- Annual performance review, and regular feedback cycles, generating distinct value by connecting colleagues through networks rather than hierarchies
- Individual development plan, professional development opportunities
- Educational resources such as paid certifications, unlimited access to Udemy Business, etc.
- Local, virtual, and global team events, in which UT colleagues become acquainted with one another
WHAT YOU’LL DO
- Support the development and maintenance of data pipelines and ETL processes, with a focus on learning and applying Databricks technologies.
- Assist in data ingestion, transformation, and validation tasks across structured and semi-structured sources.
- Participate in team code reviews, documentation, and knowledge-sharing sessions to build Databricks proficiency.
- Collaborate with senior engineers to implement scalable solutions and gradually take ownership of Databricks workflows.
- Contribute to improving data quality, observability, and operational efficiency.
WHAT YOU’LL BRING
- Solid foundation in SQL and Python, with a strong interest in distributed data processing and cloud platforms.
- Eagerness to learn Databricks, Apache Spark, and modern data engineering practices.
- Familiarity with version control (e.g., Git) and basic understanding of cloud services (Azure, AWS, or GCP).
- Analytical mindset, attention to detail, and a collaborative attitude.
- Motivation to grow into a Databricks expert through hands-on experience and mentorship.
- Professional communications skills in English
Did we pique your interest, or do you have any questions?
We want to hear from you: contact us at recruit@ultratendency.com
ABOUT US
Ultra Tendency is an international premier Data Engineering consultancy for Big Data, Cloud, Streaming, IIoT and Microservices. We design, build, and operate large-scale data-driven applications for major enterprises such as the European Central Bank, HUK-Coburg, Deutsche Telekom, and Europe’s largest car manufacturer. Founded in Germany in 2010, UT has developed a reliable client base and now runs 8 branches in 7 countries across 3 continents.
We do more than just leverage tech, we build it. At Ultra Tendency we contribute source code to +20 open-source projects including Ansible, Terraform, NiFi, and Kafka. Our impact on tech and business is there for anyone to see. Enterprises seek out Ultra Tendency because we solve the problems others cannot.
We love the challenge: together, we tackle diverse and unique projects you will find nowhere else. In our knowledge community, you will be a part of a supportive network, not a hierarchy. Constant learning and feedback are our drivers for stable development. With us you can develop your individual career through work-life balance.
We evaluate your application based on your skills and corresponding business requirements. Ultra Tendency welcomes applications from qualified candidates regardless of race, ethnicity, national or social origin, disability, sex, sexual orientation, or age.
Data privacy statement: Data Protection for Applicants – Ultra Tendency
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