Állás részletei
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Cég neve
DATAPAO Kft.
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Munkavégzés helye
Hibrid • Budapest -
Munkaidő, foglalkoztatás jellege
- Teljes munkaidő
- Általános munkarend
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Elvárt technológiák
- CLOUD GIT PYTHON AZURE AWS SPARK ACCESS MACHINE LEARNING CLEAN CODE
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Biztosított eszközök
- MacOS
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Elvárások
- Angol középfok
- Nem kell tapasztalat
- Középiskola
Állás elmentve
A hirdetést eltávolítottuk a mentett állásai közül.
Állás leírása
Responsibilities
Lead or participate in scoping the engagement, designing high-level architecture, defining subtasks, and project delivery schedules
Deliver projects independently or within a mixed DS/DE team setup, often as technical lead
Act as client-facing interface or SPOC to customers
Provide ML/DS consultancy to technical teams for EMEA customers
Recommend solutions leveraging Databricks or native cloud features
Conduct workshops to enable clients on Databricks and cloud platforms
Work on internal solution development and research initiatives
Grow industry-specific knowledge and learn new technologies & methodologies
Participate in developing Data Science and Machine Learning courseware
Provide technical (pre-sales) support for Sales Team
Create content for marketing and sales
Mentor other members of the data science guild including tech mentorship meetings, one-on-ones, knowledge sharing sessions, and participation in performance reviews
Deliver projects independently or within a mixed DS/DE team setup, often as technical lead
Act as client-facing interface or SPOC to customers
Provide ML/DS consultancy to technical teams for EMEA customers
Recommend solutions leveraging Databricks or native cloud features
Conduct workshops to enable clients on Databricks and cloud platforms
Work on internal solution development and research initiatives
Grow industry-specific knowledge and learn new technologies & methodologies
Participate in developing Data Science and Machine Learning courseware
Provide technical (pre-sales) support for Sales Team
Create content for marketing and sales
Mentor other members of the data science guild including tech mentorship meetings, one-on-ones, knowledge sharing sessions, and participation in performance reviews
Requirements
Strong consultant mindset and passion for customer experience
Excellent communication and presentation skills
Ability to deliver data science projects and lead teams
Problem-solving skills and ownership
Fluent in English
Willingness to travel up to 10% mainly in the EU
Solid software engineering foundations (git, clean code principles, OO programming)
Strong Python knowledge of common DS libraries
Understanding of Large Language Models (LLMs) and familiarity with their frameworks/libraries
Advanced knowledge in cloud technologies, preferably Azure or AWS
Proficiency in any deep learning framework
Good knowledge of data visualization tools/libraries
[BONUS] Experience with distributed computing, preferably Spark
[BONUS] Experience with MLOps
[BONUS] Experience with Databricks
[BONUS] Mentoring skills and predisposition to knowledge-sharing
Excellent communication and presentation skills
Ability to deliver data science projects and lead teams
Problem-solving skills and ownership
Fluent in English
Willingness to travel up to 10% mainly in the EU
Solid software engineering foundations (git, clean code principles, OO programming)
Strong Python knowledge of common DS libraries
Understanding of Large Language Models (LLMs) and familiarity with their frameworks/libraries
Advanced knowledge in cloud technologies, preferably Azure or AWS
Proficiency in any deep learning framework
Good knowledge of data visualization tools/libraries
[BONUS] Experience with distributed computing, preferably Spark
[BONUS] Experience with MLOps
[BONUS] Experience with Databricks
[BONUS] Mentoring skills and predisposition to knowledge-sharing
What we offer
Access to Databricks' public and internal courses
Payment for various data & cloud certifications
Dedicated time for learning during work hours
Access to internal library
Flexible PTO and working hours
Flexible office attendance with expectation of one day per week in office
30 calendar days of paternity leave (if applicable)
Private medical insurance via Generali
Employee Assistance Program (psychological, financial, legal consulting)
Top-notch working equipment including MacBook, Herman Miller office chair, standing desks
Open feedback and no-politics culture
Opportunity to shape the future of a rapidly growing tech company
Cozy and modern office in the heart of Budapest with open spaces, quiet corners, natural light, snacks, drinks, coffee, and beverages
Optional Friday evening social events
Gross salary range: 1,200,000 - 1,700,000 HUF/month for Mid level, 1,700,000 - 2,300,000 HUF/month for Senior level
Payment for various data & cloud certifications
Dedicated time for learning during work hours
Access to internal library
Flexible PTO and working hours
Flexible office attendance with expectation of one day per week in office
30 calendar days of paternity leave (if applicable)
Private medical insurance via Generali
Employee Assistance Program (psychological, financial, legal consulting)
Top-notch working equipment including MacBook, Herman Miller office chair, standing desks
Open feedback and no-politics culture
Opportunity to shape the future of a rapidly growing tech company
Cozy and modern office in the heart of Budapest with open spaces, quiet corners, natural light, snacks, drinks, coffee, and beverages
Optional Friday evening social events
Gross salary range: 1,200,000 - 1,700,000 HUF/month for Mid level, 1,700,000 - 2,300,000 HUF/month for Senior level
Company info
DATAPAO is a data engineering and AI company that covers the entire data transformation from architecture to implementation. Beyond delivering solutions, we also provide data and AI training and enablement. We are backed by Databricks - the creators of Apache Spark, and act as a delivery partner and training provider for them in Europe. Additionally, we are Microsoft Gold Partners in delivering cloud migration and data architecture on Azure. Our delivery partnerships enable us to work in a wide range of industries and with some of the most prominent global companies, such as Norsk-Hydro, Richter, Bayer, Schufa, GetYourGuide, TechnoAlpin, and Logically, to name just a few. As a training provider, we deliver onsite and online courses globally for Databricks and on our own. We have been teaching professionals at Apple, Amazon, Uber, Microsoft, T-Mobile, GE, Ericsson, and many more to improve their impact with data.
How to apply
You can submit your application on the company's website, which you can access by clicking the „Apply on company page“ button.
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