Offer summary

Qualifications:

Bachelor's degree in a quantitative subject such as computer science, physics, mathematics, or engineering., Proven expertise in designing and implementing data solutions with extensive knowledge of SQL and dbt., Proficiency in Python and experience with Linux platforms are essential., Experience with cloud data architectures (AWS, Azure) is preferred..

Key responsibilities:

Provide strategic and technical guidance to the data engineering team and lead initiatives to improve data quality and infrastructure efficiency.

Architect and maintain advanced ETL processing pipelines for batch and near-real-time data, including analytical and machine learning workflows.

Collaborate closely with different teams to ensure integration of tools aligns with business goals and operational objectives.

Drive initiatives that leverage the data stack to deliver actionable insights and support data-driven decision-making processes across the business.

Job description

About BESTSECRET GROUP

We are a leading European members-only online destination for premium and luxury off-price fashion. Partnering with over 3,000 international brands, our tech-focused mindset and strong commitment to sustainability drives a truly unique experience for our members. With almost 100 years of experience behind us, and a major tech transformation ahead, BestSecret is scaling at pace to become one of Europe’s most exciting ecommerce players. We are proud to have a diverse team of over 1,700 employees from over 80 countries and are committed to further building out our international team with the very best talent based at our various hubs across Europe.

Responsibilities

Technical Leadership: Provide strategic and technical guidance to the data engineering team. Lead initiatives to improve data quality, reliability, and infrastructure efficiency.
Develop & Maintain Advanced Data Systems: Architect and maintain advanced, scalable ETL processing pipelines for batch and near-real-time data, including analytical and machine learning workflows using a modern technology stack (Airflow, Kubernetes, Starburst, dbt, Kafka).
Enterprise Data Architecture: Design and continuously extend our enterprise data warehouse to align with business goals, supporting the company's analytics-driven business philosophy.
Optimization and Enhancement: Focus on optimizing and enhancing our data infrastructure using Trino, Iceberg, Microsoft Fabric, and Looker. Ensure these tools work seamlessly together to deliver high-performance data processing and analytics capabilities.
Integration and Collaboration: Collaborate closely with different teams to ensure the integration of these tools aligns with business goals and operational objectives.
Performance Maximization: Lead efforts to maximize the performance of existing systems, ensuring robust, efficient, and scalable data solutions that meet the needs of diverse stakeholders.
Result-Driven Initiatives: Drive initiatives that leverage the full potential of our data stack to deliver actionable insights and support data-driven decision-making processes across the business.
Automation & CI/CD Pipeline Management: Lead automation initiatives that allow code generation for pipelines and expand our CI/CD capabilities using GitLab pipelines to enhance testing and deployment automation.
Cross-Team Collaboration: Work closely with cross-functional teams to understand business requirements and produce data solutions that aid in impactful decision making.
Engagement and Consultation: Engage with business units to ensure technical solutions support business objectives and improve decision-making processes.

Qualifications

Advanced Experience in Data Engineering: Proven expertise in designing and implementing data solutions, with a minimum Bachelor's degree in a quantitative subject (computer science, physics, mathematics, engineering, etc.).
Technical Proficiency: Extensive knowledge of SQL, particularly with dbt, along with an understanding of RDBMS and Columnar Database concepts. Proficiency in Python and experience with Linux platforms are essential.
Cloud Architecture Experience: Experience with cloud data architectures (AWS, Azure) preferred.
Adaptability and Innovation: Continuous learner with a strong inclination to stay updated with emerging technologies. Capable of pioneering innovative data solutions to maintain competitive advantage.
Communication and Leadership: Excellent communication skills in English (German is a plus), with the ability to work independently and collaboratively, leading by example and enhancing team synergy and performance.

At BestSecret, diversity isn't just a trend – it's our professional philosophy. We are dedicated to cultivating an inclusive workplace where everyone's unique talents and backgrounds are celebrated. Applicants from all backgrounds, experiences and perspectives are welcome to join us in our mission towards a more vibrant and inclusive future.

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