DATAPAO Kft. logó

Data Engineering Manager

Állás részletei

  • Cég neve

    DATAPAO Kft.

  • Munkavégzés helye

    Hibrid Budapest
  • Munkaidő, foglalkoztatás jellege

    • Alkalmazotti jogviszony
    • Általános munkarend
  • Elvárt technológiák

    • ACCESS CLOUD SQL NOSQL ORACLE ANALYTICS
  • Biztosított eszközök

    • Laptop
    • MacOS
  • Elvárások

    • Angol középfok
    • Nem kell tapasztalat
    • Középiskola
Állás elmentve
A hirdetést eltávolítottuk a mentett állásai közül. Visszavonom
newsletter-modal

Hasonló állásokról értesítőt állítottunk be!

Válogatást küldünk a hasonló lehetőségekről e-mailben, és app felhasználóinknak push értesítésben is.

Állás leírása

Responsibilities

  • Leading a data engineering team comprising 5-6 consultants
  • Overseeing project delivery
  • Managing and mentoring the team
  • Ensuring successful execution of data engineering projects
  • Ensuring successful execution of ML/MLOps projects
  • Ensuring successful execution of cloud migration projects
  • Splitting time between team management and hands-on project delivery
  • Building and optimizing scalable, high-performance data pipelines
  • Designing, implementing, and maintaining ETL/ELT workflows
  • Ingesting structured, semi-structured, and unstructured data from systems like Oracle, Snowflake, and Redshift
  • Building enterprise data platforms
  • Enabling real-time and batch analytics workloads
  • Migrating legacy systems to modern cloud environments

Requirements

  • Consultant mindset and passion for customer experience
  • Solid software engineering foundations
  • Strong understanding of distributed systems
  • Familiarity with best-in-class software engineering principles
  • Experience in designing and implementing data-intensive applications
  • Strong SQL and NoSQL hands-on experience
  • Problem-solving and ownership skills
  • Ability to identify and fill organizational gaps
  • Motivation to lead and grow people
  • Experience in managing teams or leading project teams
  • Mentoring experience
  • Ability to build strong teams and culture
  • Excellent communication skills
  • Ability to articulate technical concepts to diverse audiences
  • Ensuring transparent communication across all levels

What we offer

  • World-class educational benefits including access to Databricks public and internal courses
  • Payment for various data and cloud certifications
  • Dedicated time for learning during work hours
  • Access to internal library
  • Flexible working hours and PTO days
  • Balanced in-person-remote work ratio
  • 4 weeks of paternity leave
  • Private medical insurance via Generali
  • Employee Assistance Program offering psychology, financial, and legal consulting services
  • Top-notch working equipment including MacBook Pro, Herman Miller office chair, and standing desks
  • Opportunity to shape organizational culture
  • Opportunity to make an impact in a high-transparency culture
  • Cozy office in the heart of Budapest with snacks, drinks, coffee, and beverages
  • Annual team building, movie and wine-tasting nights, and various community events
  • Gross salary ranging from 2.000.000 to 2.700.000 HUF/month depending on seniority

Company info

DATAPAO is a Data Engineering and AI company that covers the entire data transformation from architecture to implementation. Beyond delivering solutions, they also provide data and AI training and enablement. They are backed by Databricks - the creators of Apache Spark, and act as a delivery partner and training provider for them in Europe. Additionally, they are Microsoft Gold Partners in delivering cloud migration and data architecture on Azure. Their delivery partnerships enable them 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. As a training provider, they deliver onsite and online courses globally for Databricks and on their own. They 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.

Álláshirdetés jelentése