Data Engineer
Job info
About the job
EMEA/US globális nagyvállalatok adat-jellegű üzleti problémáira szállítunk megoldásokat data engineering, machine learning és cloud területeken. Fő technológiák, amelyeket használunk az Apache Spark/Databricks és az AWS/MS Azure.
A Data Engineerek - tapasztalattól függően - önállóan vagy kis csapatban end-to-end felelnek a rájuk bízott projektekért.
Salary range
A cég éves nyereségének % elosztása tapasztalati szint alapján.
Preferred application method
English,
Work schedule
Responsibilities
Technologies and tools
Professional skills
- Python5 / 5
- SQL/noSQL4 / 5
- UNIX/Linux4 / 5
- Cloud, distributed systems2 / 5
- Apache Spark1 / 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
Do not apply, if...
- nem akarsz ügyfél-projekteken dolgozni
- nem érzed jól magad egy kicsi cégnél
- nem beszélsz folyékonyan angolul
Példa projektek a közelmúltból
- Olajipar: olajpumpák életciklusának predikciója, amortizáció becslése
- Gyártás: háztartási gépek amortizációjának predikciója
- Autóipar: heggesztési varratok minőségének vizsgálata gépi tanuló algoritmussal
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.
Office address
Budapest, Paulay Ede u. 56, 1061 MagyarországWhat 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
🏠 Our office feels like a cozy co-working space. Sometimes we just sit and work from the 'living room', but if we need more focus time or have a meeting, we go to one of the rooms where we have hot desks, monitors, whiteboard etc.
📍It is close to Oktogon an the Opera House, only a short walk from Deak square.
🐶 We are 100% dog friendly!
☕ Our kitchen is always well-stocked with snacks & drinks😉
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
- Human centric
- Passionate about data
- Pursue excellence
- Dedicated to lifelong learning
- Consider failure as an opportunity to learn and grow
Blog