Data Engineer - Delivery Experience

Technologies we use

About the project

Your 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

Our requirements

• 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

Optional

• Experience with Azure and cross-cloud data transfers and multi-cloud architecture

Why would you like to work with us:

• Big Data is not an empty slogan for us, but a reality - you will be working on really big datasets (petabytes of data)
• You will have a real impact on the direction of product development and technology choices. We utilize the latest and best available technologies, as we select them according to our own needs
• Our tech stack includes: GCP, BigQuery, (Py)Spark, Airflow
• We are a close-knit team where we work well together
• You will have the opportunity to work within a team of experienced engineers and big data specialists who are eager to share their knowledge, including publicly through allegro.tech

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)
• 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
• life insurance
• flexible working time
• integration events
• no dress code
• leisure zone
• extra social benefits