Data Engineer focused on analytics and data pipeline development for network optimisation. Collaborating with teams to deliver high - quality data solutions with Python and SQL.
About the role
- Data Engineer building scalable data platforms using Databricks and Azure for Reconomy. Collaborating across teams to deliver high-quality data solutions.
Responsibilities
- 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.
Requirements
- 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
Benefits
- 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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