In the area of Delivery Experience, we are building technology that makes Allegros deliveries easy, cost-effective, fast and predictable. Our team takes care of critical services along the Allegro shopping journey, responsible for predicting delivery times using statistical algorithms and machine learning, selecting the best delivery methods tailored to customers, and integrating with carrier companies. Delivery Experience is also one of the fastest-growing areas where we undertake new, complex projects to enhance logistics and warehousing processes.
We are looking for a Mid/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.
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
requirements-expected :
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
offered :
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)
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)
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
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)
English classes that we pay for related to the specific nature of your job
benefits :
sharing the costs of sports activities
private medical care
sharing the costs of foreign language classes
sharing the costs of professional training & courses
