Senior Data Engineer

Company Description

Born from the ambition to merge the dynamic world of US unicorn startups with the diverse talent of tech professionals in Europe, BWS brings the most exciting technical challenges to the region. We are a growing team of kick ass Developers, Mobile Engineers, DevOps and QAs, learning, perfecting, and adapting to ever changing and rich variety of tools and technologies. We are focused on the long journey together with our team and our clients. Hop on board and let’s build great stuff together!

Job Description

We are seeking a Senior Data Engineer for our dynamic and innovative fashion technology startup, revolutionizing the industry with AI-driven solutions and the world’s largest fashion catalog. In this role, you will be instrumental in building and scaling our data infrastructure to support AI technologies that enhance the shopping experience for millions of users. You will collaborate across teams to ensure seamless data flow, system scalability, and uphold the highest standards of data usage.

Responsibilities:

• Design and develop data systems and pipelines to manage and deliver high-quality data across platforms, supporting product growth.
• Create and implement data management strategies aligned with business objectives to enable AI and machine learning initiatives.
• Collaborate with cross-functional teams to build and optimize data-driven features.
• Establish and maintain best practices for data systems and workflows to promote operational excellence and innovation.
• Ensure reliable production data pipelines, minimizing downtime and implementing recovery protocols.

Qualifications

• 5+ years of experience in Data Engineering or Data Platforms Engineering with a strong understanding of data principles.
• Expertise in Spark, Kafka, Google Cloud Pub/Sub, Kubernetes, CI/CD, Protocol Buffers, and cloud storage.
• Experience preferably with GoLang(Python is an option as well)
• Proven ability to design scalable, reliable, high-performance data systems and manage production data pipelines.
• Experience with streaming data architectures, real-time systems, and large-scale data management.
• Familiarity with cloud platforms (GCP, AWS, Azure) and deploying large-scale data solutions.
• Knowledge of e-commerce data challenges and how data drives innovation.
• Insight into the retail industry and its data engineering challenges.
• Contributions to open-source data engineering projects are a plus.

Additional Information

• Working with the most dynamic US tech companies, developing and iterating new features and platforms
• No short projects, no outsourcing, only real challenges for real talents
• You are part of the team, your input counts
• We are working fully remote (Europe-based)
• We have an office in Cluj-Napoca if you want to pass by and meet the team
• We are collaborating with CIM/PFA/SRL
• We offer 30 paid days off
• We provide equipment as needed - laptop, desktop, etc
• We have Christmas bonuses and annual salary growth based on the company’s review 
• The opportunity to grow and help others to grow. We are paying/sponsoring career-improving courses, classes, seminars, etc
• Based on the project and your availability, you could have annual business visits in the US

Get picky and choose a career that matches your mindset and lifestyle. Team up with a company that encourages you to do more and gives you the flexibility you need!