Senior Data Engineer

Remix is one of the leading online secondhand marketplaces in the EU, currently operating in 9 European markets and expanding. We are on a mission to make secondhand fashion the first choice. We believe in a sustainable future for fashion, giving pre-loved clothes a new life, and reshaping the resale market through innovation. Powered by technology, our proprietary operating platform drives our managed marketplace — combining distributed processing infrastructure, proprietary software, and data science expertise to transform fashion resale.

The role

As a Senior Data Engineer, you’ll lead and mentor, fostering collaboration and strategic alignment with business goals. You’ll design innovative data pipelines for advanced analytics and machine learning applications – including recommender systems that power personalized experiences. You’ll also introduce cutting-edge technologies for continuous improvement while upholding strong data governance practices. Your impact goes beyond technology, shaping a data-driven future for our organization.

What You’ll Do

• Lead and mentor junior data engineers, providing guidance and expertise in data engineering best practices
• Collaborate with cross-functional teams to define and implement data solutions that support both analytics and machine learning applications.
• Design, develop, and maintain scalable and efficient data pipelines and architectures to support advanced analytics, recommender systems, and personalization use cases.
• Design, build, and deploy recommender systems using collaborative filtering, content-based filtering, or hybrid ML models.
• Preprocess and transform large-scale user and product data for model training, evaluation, and inference.
• Implement model performance monitoring, versioning, and retraining workflows for real-time and batch recommendations.
• Implement data quality and validation processes to ensure the accuracy and reliability of data across various systems.
• Evaluate and implement new technologies, tools, and frameworks to enhance data processing and storage capabilities.
• Optimize and fine-tune existing data processes for improved performance and efficiency.
• Define and enforce data governance policies and standards to ensure data integrity and security.
• Act as a technical leader in data-related discussions, providing insights and recommendations to drive informed decision-making.
• Collaborate with infrastructure teams to design and implement robust, scalable, and secure data storage and retrieval solutions.
• Participate in strategic planning and contribute to the development of the overall data architecture and roadmap.

What You’ll Need

• Proven experience designing and implementing end-to-end data pipelines and machine learning systems in a production environment.
• Experience with Data Warehouses (e.g., Amazon Redshift, Snowflake, BigQuery).
• Familiarity with cloud-based data platforms (e.g., AWS, Azure, Google Cloud).
• Deep knowledge of data modelling, ETL processes, and data warehousing concepts (ideally using dbt).
• Understanding of CI/CD principles and experience implementing automated deployment processes.
• Experience with orchestration tooling (e.g., Airflow, Argo CD).
• Proficiency in SQL and experience with data visualization tools (e.g., Looker, Tableau, Power BI) for creating insightful reports and dashboards.
• Strong programming skills, with proficiency in Python, and a solid understanding of software engineering principles.
• Experience with ML libraries such as Scikit-learn, TensorFlow, PyTorch, or LightFM.
• Deep understanding of recommender systems (e.g., matrix factorization, embeddings, similarity metrics).
• Experience with CI/CD pipelines, containerization (e.g., Docker), and deploying ML APIs (e.g., FastAPI, Flask).
• Experience in extracting data through APIs or data extraction tooling (e.g., Fivetran, Snowplow).
• Knowledge of big data technologies (e.g., Spark, Hadoop).
• Proven ability to lead and collaborate with cross-functional teams in a fast-paced and dynamic environment.
• Excellent problem-solving and analytical skills with a keen attention to detail.
• Effective communication skills in both written and spoken.

Nice to Have

• Experience in A/B testing and experimentation platforms for evaluating recommender systems.
• Background in fashion retail or e-commerce personalization is a plus.

What we offer

• Competitive remuneration
• Individual career growth plan
• Additional health insurance
• Food vouchers worth 200 BGN
• Multisport & Coolfit cards
• Work-life balance & social events
• Free snacks, soft drinks, coffee, and fruits
• A job with a mission

If you are passionate about transforming data into actionable insights, come make a difference with us!

*All applications will be treated with strict confidentiality. Only short-listed candidates will be contacted.