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Senior Data Engineer - MarAdTech Advertising
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Senior Data Engineer - MarAdTech Advertising

Warszawa
Type of work
Full-time
Experience
Mid
Employment Type
Permanent
Operating mode
Hybrid
Allegro

Allegro

At Allegro, we build and maintain some of the most distributed and scalable applications in Central Europe. Work with us on e-commerce solutions to be used (and loved) by your friends, family and millions of our customers.

Tech stack

    Polish

    C1

    English

    B2

    SQL

    advanced

    DWH

    advanced

    ETL

    regular

    ELT

    regular

    Python

    regular

    Google Cloud Platform

    nice to have

    PySpark

    nice to have

    Airflow

    nice to have

    CI/CD

    nice to have

    REST API

    nice to have

Job description

The salary range for this position is (contract of employment): 18 400 - 25 410 PLN in gross terms

A hybrid work model requires 1 day a week in the office 

 

We are looking for a Senior Data Engineer with a focus on the data processing and preparation, deployment and maintenance of our data projects. Join our team to enhance your skills related to deploying data-based processes, data ops approaches and share the skills within the team.


Your main responsibilities:

  • You will be actively responsible for developing and maintaining processes for handling large volumes of data
  • You will be streamlining and developing the data architecture that powers analytical products and work along a team of experienced analysts
  • You will be monitoring and enhancing quality and integrity of the data
  • You will manage and optimize costs related to our data infrastructure and data processing on GCP


This is the right job for you if you:

  • Have at least 3 years of experience as Data Engineer and working with large datasets
  • Have experience with cloud providers (GCP preferred)
  • Are highly proficient in SQL
  • Have strong understanding of data modeling and cloud DWH architecture
  • Have experience in designing and maintaining ETL/ELT processes
  • Are capable of optimizing cost and efficiency of data processing
  • Are proficient in Python for working with large data sets (using PySpark or Airflow)
  • Use good practices (clean code, code review, CI/CD)
  • Have a high degree of autonomy and take responsibility for developed solutions
  • Have English proficiency on at least B2 level
  • Like to share knowledge with other team members


Nice to have:

  • Experience with rest API


What we offer:

  • A hybrid work model that you will agree on with your leader and the team. We have well-located offices (with fully equipped kitchens and bicycle parking facilities) and excellent working tools (height-adjustable desks, interactive conference rooms)
  • Annual bonus up to 10% of the annual salary gross (depending on your annual assessment and the company's results).
  • A wide selection of fringe benefits in a cafeteria plan – you choose what you like (e.g. medical, sports or lunch packages, insurance, purchase vouchers).
  • English classes that we pay for related to the specific nature of your job.
  • 16" or 14" MacBook Pro with M1 processor and, 32GB RAM or a corresponding Dell with Windows (if you don’t like Macs) and other gadgets that you may need.
  • Working in a team you can always count on — we have on board top-class specialists and experts in their areas of expertise.
  • A high degree of autonomy in terms of organizing your team’s work; we encourage you to develop continuously and try out new things.
  • Hackathons, team tourism, training budget and an internal educational platform, MindUp (including training courses on work organization, means of communications, motivation to work and various technologies and subject-matter issues).
  • If you want to learn more, check it out

 

This may also be of interest to you: 

Allegro Tech Podcast → https://podcast.allegro.tech/

 

Send in your CV and see why it is #dobrzetubyć (#goodtobehere)

Undisclosed Salary

Permanent