Senior Databricks Engineer

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.

Reconomy's full range of capabilities are organized into 3 'loops': Recycle, Comply and Re-use, each providing opportunities for circularity within the wider resource cycle.

• 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.

Qualification:

• 5+ years of expertise in building and scaling data platforms, with a strong focus on
  Azure Cloud
  technologies (e.g., Azure Data Factory, Azure Synapse, Azure Data Lake, Azure SQL Database) and
  Databricks
  .
• Proven hands-on experience with
  Spark, either PySpark or Spark with Scala
• Basic experience with using Python
• SQL knowledge
• Proven experience leading the implementation of data platform strategies and managing large-scale data infrastructure initiatives using Databricks and Azure
• Strong experience with
  NoSQL Database
  architecture and data modeling (e.g. CosmosDB)
• Solid understanding of data architecture, data modeling, and distributed systems.

Responsibilities:

Drive Data Platform Strategy & Implementation:

• Define and drive the overall
  data platform strategy
  with a focus on Azure Cloud to ensure that the organization's data infrastructure is scalable, reliable, and aligned with business objectives.
• Oversee the design, implementation, and ongoing optimization of the data platform, leveraging Spark, Databricks and Azure technologies.
• Ensure the data platform enables easy access to high-quality, secure, and compliant data for all stakeholders, fostering a self-service analytics environment.

Cross-Squad Coordination & Alignment:

• Ensure alignment across multiple squads to meet company-wide data objectives and maintain strategic coherence.
• Facilitate collaboration between product management, data science, analytics, and engineering teams to deliver data-driven products and services.
• Define shared goals, success metrics, and timelines for squads to ensure that efforts are aligned with broader business goals.

Data Strategy & Architecture:

• Develop and execute the data engineering strategy, ensuring alignment with the company's overall business objectives.
• Oversee the design and implementation of scalable, reliable, and secure data architectures to support various data products and services.
• Ensure adherence to best practices for data governance, security, and compliance across the engineering squads.
• Stay at the forefront of industry trends and emerging technologies, continually improving data engineering capabilities.

What do 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
• 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
  (2 days in the office)