DATAPAO Kft. logó

Senior Data Engineer (Databricks) - Spain

Állás részletei

  • Cég neve

    DATAPAO Kft.

  • Munkavégzés helye

    Hibrid
  • Egyéb juttatások

    • Egészségbiztosítás
  • Munkaidő, foglalkoztatás jellege

    • Alkalmazotti jogviszony
    • Általános munkarend
  • Elvárt technológiák

    • BI ACCESS AWS AZURE SQL PYTHON CLOUD TABLEAU POWER BI
  • Biztosított eszközök

    • Laptop
    • MacOS
  • Elvárások

    • Angol középfok
    • 5-10 év 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

  • Delivery on complex projects individually or by leading small delivery teams
  • Management of customer relationships alone or in collaboration with a Project Manager
  • Support of pre-sales process
  • Mentoring of more junior engineers
  • Contribution to hiring best-in-class data talent

Requirements

  • 5+ years of experience in Data Engineering with focus on cloud platforms (AWS, Azure, GCP)
  • Proven track record working with Databricks (PySpark, SQL, Delta Lake, Unity Catalog)
  • Extensive experience in ETL/ELT development and data pipeline orchestration (Databricks Workflows, DLT, Airflow, ADF, Glue, Step Functions)
  • Proficiency in SQL and Python for data transformation and optimization
  • Knowledge of CI/CD pipelines and Infrastructure as Code (Terraform, CloudFormation, Bicep)
  • Hands-on experience integrating Databricks with BI tools (Power BI, Tableau, Looker)
  • Proven history in consulting from scoping to gathering requirements, designing solutions, and communicating with stakeholders
  • Successful delivery of projects like Data Lakehouse buildouts and cloud data migrations
  • Ability to explain technical concepts to non-technical audiences and drive decision-making
  • Flexibility and problem-solving skills in a fast-paced consulting environment
  • Resilience and thriving on challenges
  • Strong communication skills in writing, speaking, and collaboration

What we offer

  • Remote work opportunity with expectation to spend one month in Budapest hub during onboarding and quarterly office visits
  • World-class educational benefits including access to Databricks courses and payment for data & cloud certifications
  • Dedicated time for learning during work hours and access to internal library
  • Flexible PTO days
  • Fully paid Medical Leave for up to 15 days per year
  • Comprehensive private health insurance plan via Allianz through Employer of Record provider Remote.com
  • Employee Assistance Program (EAP) via Allianz & Remote offering psychology, financial, and legal consulting services
  • Top-notch working equipment including MacBook Pro and 500 EUR gross sign-up bonus for home office setup
  • Opportunity to impact growth trajectory and organizational success as first-ever Spain hire
  • Chance to work in a high-transparency culture with open feedback and no politics
  • Gross salary range from 70,000 to 80,000 EUR/year depending on seniority 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.

Álláshirdetés jelentése