Senior Data Engineer

About

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. Design innovative data pipelines for advanced analytics, ensuring informed decision-making. Introduce cutting-edge technologies for continuous improvement while upholding robust data governance. 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, including Data Science, Engineering, and business stakeholders, to define and understand data requirements for complex projects.
• Design, develop, and maintain scalable and efficient data pipelines and architectures to support advanced analytics and business intelligeenc initiatives.
• 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.
• Participate in strategic planning and contribute to the development of the overall data architecture and roadmap.

What You’ll Need

• Extensive experience in data engineering with a focus on designing and implementing complex data solutions.
• 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 languages such as Python and a solid understanding of software engineering principles.
• 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.
• Experience with containerization technologies such as Docker.

Nice to have

• Experience with Databricks.
• Advanced certifications in data engineering or related fields.
• Experience with stream processing frameworks (e.g.,Apache Kafka).
• Strong understanding of data security and compliance standards.
• Experience with Kubernetes

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.