Big Data Engineer
Warszawa, Poznań, Toruń, Gdańsk, Łódź, Poland
Job Description
The salary range for this position is (contract of employment)
Mid: 12 300 - 17 600 PLN gross
Senior: 16 100 - 23 200 PLN gross
A hybrid work model that incorporates solutions developed by the leader and the team
Within the area of Data & AI, we handle projects based on the practical application of data science and artificial intelligence on an unprecedented scale in Poland. Data & AI is made up of over 100 experienced BigData engineers working in over a dozen teams with different fields of expertise. Some of them develop dedicated tools to create and activate BigData processing, or to implement ML models for the entire organisation. Others tend to work closer to the client, being responsible for the search engine, developing recommendations, building buyers’ profiles or enhancing the experimental platform. There are also research team whose task is to seek solutions for unconventional problems that require the application of machine learning.
Join us! We are looking for BigData engineers with different areas of expertise, who want to keep growing and build solutions for millions of Allegro clients
We are looking for people who:
can and like to program in the following languages: Java or Scala
have experience in the Big Data ecosystem (Hadoop, Spark, Kafka, Airflow, Druid)
Have knowledge of GCP (Dataproc, Dataflow, BigQuery, Pubsub) will be an additional advantage
use good practices (clean code, code review, TDD, CI / CD)
work efficiently in systems from the Unix / Linux family
are interested in using ML / AI
have a positive attitude and teamwork skills
want to develop and update their knowledge
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)
Long term discretionary incentive plan based on Allegro.eu shares
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
Laptop with m1 processor, 32GB RAM, SSD - a 16” or 14” MacBook Pro or corresponding Dell with Windows (if you don’t like Macs), two monitors and all other gadgets that you should 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
Why is it worth working with us?
At Allegro, you will process petabytes of data and billions of events per day
You will become a participant in one of the largest data platform building projects in GCP
Your development will follow the latest technological trends based on open source (data mesh, data streaming)
You will have a real influence on the directions of product development and the choice of technology. We use the latest and best available technologies, because we choose them ourselves to our needs
You will have the opportunity to work in a team of experienced engineers and big data specialists who are willing to share their knowledge, also publicly as part of allegro.tech
You can work in a different team once a year (team tourism)
This may also be of interest to you:
Allegro Tech Podcast → https://podcast.allegro.tech/
Booklet → https://allegro.tech/booklet.pdf
Send us your CV and find out why #dobrzetubyć (#goodtobehere)
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Big Data BigQuery Dataflow Dataproc GCP Hadoop Kafka Linux Machine Learning ML models Open Source Research Scala Spark Streaming TDD
Perks/benefits: Career development Gear Lunch / meals Salary bonus Team events
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