Data Engineer (Scala) - Data Assets
Offer summary

(Summary generated by AI based on the full job description)

The project focuses on Big Data and AI processing 5 billion clickstream events daily. It uses Google Cloud Platform, including Dataproc, Dataflow, BigQuery, PubSub. Core technologies include Scala, Java, Python, Spark, Apache Beam, dbt. Responsibilities cover building scalable real-time and batch data pipelines. The salary ranges from PLN 14,600 to 20,825 gross. Benefits include private medical care, training budget, flexible working hours, and language support.

Data Engineer (Scala) - Data Assets

Company: Allegro

from: 19 August 2026
to: 18 September 2026
14 600 - 20 825gross/ mth.contract of employment (full-time)
Offer parameters
level:mid
working mode:hybrid
Warszawa, Wola
Warszawa, WolaŻelazna 51/53View on map

Requirements

Expected technologies

Scala
Java
Python

Our requirements

  • Are programming in languages such as Scala or Java, Python
  • Have strong understanding of distributed systems, data storage and processing framework like dbt, Spark or Apache Beam
  • Have knowledge of GCP (especially Dataproc, Dataflow and Composer) or other public cloud environments like Azure or AWS
  • Use good practices (clean code, code review, TDD, CI/CD)
  • Navigate efficiently within Unix/Linux systems
  • Possess a positive attitude and team-working skills
  • Are eager for personal development and keeping their knowledge up to date
  • Know English at B2 level

Your responsibilities

As part of the Data & AI area, we implement projects based on the practical "data science" and "artificial intelligence" applications of an unprecedented scale in Poland. Data & AI is a group of over 150 experienced engineers organized into over a dozen teams with various specializations. Some of them build dedicated tools for creating and launching BigData processes or implementing ML models for the entire organization. Others work closer to the client and are responsible for the implementation of the search engine, creating recommendations, building a buyer profile or developing an experimental platform. There are also research teams in the area whose aim is to find solutions to non-trivial problems requiring the use of machine learning.
We are looking for Data Engineers who want to build highly scalable and fault-tolerant data processing for millions of Allegro customers. The platform processes (batch and realtime) 5 billion clickstream events every day (up to 150k / sec, ) from all Allegro sites and Allegro mobile applications. This is a hybrid solution using Google Cloud Platform (GCP) services like DataProc, GKE, Beam, BigQuery, Pubsub or Dataflow (scio).

About the project

Flexible working hours in the hybrid model (4/1) - working hours start between 7:00 a.m. and 10:00 a.m. We also have 30 days of occasional remote work.
The salary range for this position depending on the skill set is as follows (contract of employment, tax-deductible cost): PLN gross 14 600 - 20 825
Annual bonus based on your annual performance and company results.
Our team is based in Warsaw and Cracow.

#goodtobehere means that:

  • You will join a team you can count on - we work with top-class specialists who have knowledge- and experience-sharing in their DNA.
  • You will love our level of autonomy in team organization, the space for continuous development, and the opportunity to try new things. You get to choose which technology solves the problem and you are responsible for what you create.
  • You will value our Developer Experience and the full platform of tools and technologies that make creating software easier. We rely on an internal ecosystem based on self-service and widely used tools such as Kubernetes, Docker, Consul, GitHub, and GitHub Actions. Thanks to this, you can contribute to Allegro from your very first days on the job.
  • You will be equipped with modern AI tools to automate repetitive tasks, allowing you to focus on developing new services and refining existing ones (also leveraging AI support).
  • You will create solutions that will be used (and loved!) by your friends, family and millions of our customers.
  • You will meet the Allegro Scale, which starts with over 1000 microservices, an open-source data bus (Hermes) with 300K+ rps, a Service Mesh with 1M+ rps, tens of petabytes of data, and production-used machine learning.
  • You will become part of Allegro Tech - We speak at industry conferences, cooperate with tech communities, run our own blog (it's been over 10 years!), record podcasts, lead guilds, and we organize our own internal conference - the Allegro Tech Meeting. We create solutions we love (and can) to talk about!
Company

What we offer

  • Well-located offices (with e.g. fully equipped kitchens, bicycle parking, terraces full of greenery) and excellent work tools (e.g., raised desks, ergonomic chairs, interactive conference rooms).
  • A 16" or 14" MacBook Pro or corresponding Dell with Windows (if you don't like Macs) and all the necessary accessories.
  • 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.
  • A training budget, inter-team tourism (see more here), hackathons, and an internal learning platform where you will find multiple trainings.
  • An additional day off for volunteering, which you can use alone, with a team, or with a larger group of people connected by a common goal.
  • Social events for Allegro people - Spin Kilometers, Family Day, Fat Thursday, Advent of Code, and many other occasions we enjoy.

Benefits

  • sharing the costs of sports activities
  • private medical care
  • sharing the costs of foreign language classes
  • sharing the costs of professional training & courses
  • life insurance
  • flexible working time
  • integration events
  • no dress code
  • leisure zone
  • extra social benefits
Data Engineer (Scala) - Data Assets
14.6k–20.8k zł / mth. (CoE)
I apply to:
Allegro
Warszawa, Wola
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