We are looking for a Data Engineer to join a renowned American apparel brand known for its individuality.
In this role, youll develop and maintain data processing architecture, workflows, and system integrations using Big Data and Cloud technologies, while collaborating with analysts and data scientists.
Industry: Retail
Remote work: 100% remote from EU
Budget: B2B: 1280 PLN/net/day + VAT
Contract length: long-term cooperation
Working hours: flexible during the day, Cooperation with US west-coast-based teams overlap with 9 am PDT (18:00 CET) every day
Start date: ASAP
responsibilities :
Design, build, and deploy scalable infrastructure for distributed systems.
Develop and maintain architecture patterns for data processing and integration using Big Data and Cloud technologies.
Translate technical designs into workable solutions and industry-standard specifications.
Create reusable artifacts and establish automated processes for data analysis, modeling, and implementation.
Collaborate with analysts and data scientists to assess downstream impacts.
Write efficient software for iterative product releases and promote good engineering practices.
Communicate effectively with both technical and non-technical stakeholders.
Define data retention policies and monitor performance, recommending infrastructure changes.
Develop dashboards and analytics models using tools like Tableau, PowerBI, R, Python, and Spark.
requirements-expected :
University or advanced degree in engineering, computer science, mathematics, or related field.
5+ years as a software developer/data engineer.
Proficient in Big Data technologies and AI/ML lifecycle.
Strong experience with Databricks (PySpark, Spark SQL)
Experience with at least one cloud provider solution (Azure, AWS, GCP preferred)
Skilled in SQL databases and Python scripting.
Knowledgeable in transformation tools (DBT), Linux, and data pipeline management (Airflow preferred).
Proficient with GitHub and standard software engineering practices (unit testing, code reviews).
Experience in creating and optimizing data pipelines, databases, and filesystems.
Collaborative, with strong communication skills.
Experience in e-commerce, retail, or supply chains is a plus.
offered :
Opportunity to participate in an innovative project in a multinational environment
Full-time job agreement based on b2b
Private medical care with dental care (covering 70% of costs) + rehabilitation package. Family package option possible
