Junior Data Engineer
Job info
About the job
EMEA/US globális nagyvállalatok adat-jellegű üzleti problémáira szállítunk megoldásokat data engineering, machine learning és cloud területeken. Az adatos infrastruktúra fejlesztések mellett oktatással és tanácsadással is foglalkozunk. Fő technológiák, amelyeket használunk az Apache Spark/Databricks és az AWS/MS Azure.
Salary range
A cég éves nyereségének % elosztása tapasztalati szint alapján.
Preferred application method
English,
Work schedule
Responsibilities
Technologies and tools
Professional skills
- Programozási gyakorlat4 / 5
- SQL2 / 5
- UNIX/Linux2 / 5
- cloud1 / 5
- Python1 / 5
Qualifications
No qualification requiredLanguage skills
Recommend to your friends!
Personal skills
Your future colleagues
How we work
What will you learn
- 100 gépes clusteren, 100 TB adaton végzett feladatok
- Valamilyen paraméternek 1 trillió különböző permutációját kiszámolni és megjeleníteni 1 másodperc válaszidő alatt
You can start at
Advantage, if...
- Pythonban tudsz programozni
- adatos területen dolgoztál már
Do not apply, if...
- nem beszélsz jól angolul
- szakmai gyakorlat vagy munkatapasztalat hiányában saját appot/kódot sem tudsz mutatni
About the company
Our story
- 2016DATAPAO was founded.
- 2017We established our partnership with Databricks.
- 2018Started to grow our consultancy arm and the team grew from 2 to 4 employees.
- 2021We became strategic partners of Databricks and our team grows to 9.
- 2023We've grown to ~40 people by the end of 2023 across Consultancy and Education.
- 2024Our impact goes main-stage as DATAPAO is officially named the Databricks EMEA Emerging Partner of the Year.
- 2025Databricks and Euroventures invest directly in our mission. To support our rapid growth, we listen to our internal team surveys and move into our brand-new, expanded HQ.
- 2026We achieve Databricks Gold Partner Status and are named to the Financial Times FT1000 list of Europe’s fastest-growing companies for the third consecutive year.
Office address
Budapest, Nagymező u. 44, 1065 HungaryWhat makes our product special
Our product
DATA SCIENCE AND ENGINEERING IN THE CLOUD
At DATAPAO, our mission is to make data work for our customers. We're building a unique Data Engineering and Data Science consulting company, covering the full data journey — from enablement and architecture to implementation.
We can't do this alone, so we're looking for talented individuals committed to building a world driven by data.
LET'S MAKE DATA WORK. TOGETHER.
Our clients
Company values
Life with us
Appreciating each other!
Lightning round
- Mac or PC
- Mac
- Ties or shorts?
- Shorts
- Star Wars or Ben Hur?
- Star Wars
Trainings and workshops
Databricks' courses:
- Distributed Data Processing
- MLOps
- Apache Spark
- Databricks
- Cloud Migration
How can the employees affect the company’s life?
We’re strong believers in scaling up a team without judgment or prejudice. We value
- honesty & transparency in our communication and actions,
- humbleness & we are open-minded about each others’ ideas,
- genuine and meaningful feedback.
Through regular All-hands meetings, yearly eNPS surveys, continuous 1on1s, and through Slack channels, all Paoneers have the chance to affect the company's life.
Why we love our office
We've created a modern, functional space tailored to the needs of our data-driven team. With specialized areas like the Academy teaching room, Stream studio for webinars, Data Dojo for meetups, and a Chill Zone for downtime, our office is equipped to support every aspect of our work and community.
Office photo
What would I miss if I left
"To work on a wide variety of interesting projects with diverse clients. The flexibility to manage my schedule and the autonomy in my work."
Fülöp András (Füli)
Engineering Manager
Favourite thing in the office
Personal qualities we appreciate
The Mindset we’re looking for
To thrive here, you’ll need to bring:
- Ownership over Predictability: We don’t always have a paved road or a perfect process. To grow at our speed, you’ll need to give up well-defined roles and comfortable routines. You’ll need to step up, find your own path, and own the results from start to finish.
- Excellence over Comfort: We partner with industry-shapers, and that pressure often peaks. You’ll need to make trade-offs between personal time and delivery excellence to hit ambitious timelines or guide a team through last-minute client pivots.
- Constant Learning: This isn't optional. If you aren't deeply curious about the next wave of Data and AI, you’ll get lost. We expect you to learn, apply, and consult on new tech at a relentless pace.
- A "No-Ego" Hustle: We’re a tight team. That means sharing what you know, asking for help before you drown, and being willing to go the extra mile because you actually care about customer success and the team.
- Resilience in the "Heat": Sometimes the pressure peaks. You’ll need to swap comfortable routines for real-life impact—like delivering live training four days a week or traveling for a last-minute assignment. We need people who can show a great amount of grit when the schedule gets spicy.
Blog