Remix

Senior Data Engineer

Sofia, Sofia City Province, BG

€9
16 days ago
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Summary

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 intelligence 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.

• 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


• 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.


What we offer


  • Competitive remuneration
  • Individual career growth plan
  • Additional health insurance
  • Food vouchers worth 200 BGN
  • Multirpost & 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.

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