Data Engineer
Department: Technology
Employment Type: Permanent - Full Time
Location: Bucharest, Romania, Bucharest, Hybrid
Reconomy is an international circular economy specialist that combines technology, skills and incredible people to enable businesses to better manage their resources, helping reduce waste, optimise their supply chains, and contribute in a meaningful way toward the circular economy
Reconomy is bending the edges of linear business models across the world, integrating circular economy strategies and processes into everyday operations. We have the tools, talent and technology that enable customers to harness the full and inherent value of their resources, with integrated global operations in over 80 countries across the world.
- Recycle loop is utilising the latest technology and data to enable customers to make the best possible use of their materials.
- Comply loop is enabling customers to solve increasingly complex environmental regulatory challenges using data, expert knowledge and thought leadership to drive business accountability across the globe.
- Re-use loop is providing intelligent technology platforms and agile delivery models for pre-retail logistics and product returns, fulfilment and processing, on behalf of many of Europe’s largest retailers.
About the role
- Design and build scalable, reliable data platform solutions using Databricks, Spark, and Azure Cloud technologies.
- Design, implement and optimize data pipelines, ensuring high performance, data quality, and alignment with business requirements.
- Ensure the data platform enables easy access to high-quality, secure, and compliant data for all stakeholders, fostering a self-service analytics environment.
- Work closely with other squads, data scientists, analysts, and product teams to understand requirements and deliver data solutions that support their needs.
- Partner with engineers across teams to ensure consistency in data models, pipelines, and platform usage.
- Communicate technical decisions and trade-offs clearly to both technical and non-technical stakeholders.
- Contribute to the design of scalable, secure data architectures that support the company's data products and services.
- Champion and implement best practices for data governance, security, and compliance within the codebase and pipelines.
- Stay current with industry trends and emerging technologies and bring new ideas to improve the team's data engineering capabilities.
What we need from you
- Proven hands-on experience with Spark, either PySpark or Spark with Scala
- Solid understanding of Delta Lake architecture and best practices
- Expertise in building and scaling data platforms, with a strong focus on Databricks and Cloud technologies, preferably Azure Cloud
- Working experience with Python
- SQL knowledge
- Proven experience contributing to the design and implementation of data platform solutions and delivering large-scale data infrastructure projects using Databricks and Azure
- Experience with NoSQL Database architecture and data modeling (e.g. CosmosDB)
- Solid understanding of data architecture, data modeling, and distributed systems
What we offer
- This role offers you the chance to work in a friendly, diverse and international environment, along with colleagues who will share your passion for innovation, agile-working and growth. You will also be able to develop your skills within the exciting and challenging market of Reverse Logistics!
- Hybrid working environment
- Training and development to keep you in touch with the latest technologies and the opportunities to apply your learning.
- We offer a competitive salary alongside other benefits*
- Our office is easily accessible located near the city center of Bucharest, and designed to make you feel at home
- 21 working days of annual leave, plus 2 additional days allowed for participation in volunteering programs, and 1 extra day off for your birthday
- Meal vouchers: 40 RON per working day (taxed according to current legislation)
- Private medical subscription at Regina Maria.
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