In short, as a Manager, Data, you will manage a 5-person team whose main goals are the development and maintenance of data products addressing the needs of all financial services offered on the Allegro platform and created based on Data Mesh architecture.
Technologies you’ll encounter on the job are (among others): Composer, Airflow, Python, Snowflake, Snowpark, DBT, SQL, Azure DevOps, GitHub Actions, Tableau, BigQuery.
responsibilities :
designing the analytical layer for all new financial services
coordinating the data collection process in the data mesh methodology
designing changes in this process depending on the product characteristics
setting data quality metrics and leading projects to improve them
optimizing the architecture and SLA for creating analytical entities from data mesh events
managing the BI platform
managing the metadata catalog of products
co-creating and optimizing data governance processes.
requirements-expected :
We target our offer to people who:
Have experience in leading a team or managing projects whose scope aligns with the teams responsibilities
Have 2+ years of hands-on experience in developing ETL/DWH processes and 5+ years of experience in the area of customer analytics
Have a vision for a highly functional data area and communication skills that will enable its implementation
Have experience working with Data Platform Engineers and Software Engineers
Program in Python/PySpark and SQL - know the strengths and weaknesses of these technologies
Have experience working with Google Composer/Airflow or another scheduler operating in a CI/CD mode
Enjoy working with data and take pleasure in maintaining high-quality data products
Know English language on at least C1 level
offered :
Annual bonus up to 20% of the annual salary gross
Long-term discretionary incentive plan based on Allegro.eu shares
A rich package of non-wage benefits in the cafeteria system - you decide what to use (we offer, among others, medical, sports, lunch, insurance, and shopping vouchers)
English language classes paid for by us and focused on the specifics of your work
A hybrid work model - 3 days in the office. We have a great location in the Norblin Factory (with fully equipped kitchens and a large selection of lunch places in the food zone) and excellent work tools (e.g. adjustable desks, interactive conference rooms)
Support from experienced Managers and Senior Managers - there are people to bounce ideas off of, as we have the best specialists and experts in their field on board
A senior team where you will surely find time for hands-on work
A multidisciplinary character of work at the intersection of business, product, and technology, with the possibility of development in the field of data engineering, machine learning, and financial services
The possibility of implementing unique solutions based on two public clouds: Azure and GCP
benefits :
sharing the costs of sports activities
private medical care
sharing the costs of foreign language classes
sharing the costs of professional training & courses
