Reconomy

Data Engineer

Reconomy

full-time

Posted on:

Location Type: Hybrid

Location: Bucharest • Romania

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Tech Stack

AzureCloudDistributed SystemsNoSQLPySparkPythonScalaSparkSQL

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.

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.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
SparkPySparkScalaDelta LakeDatabricksAzure CloudPythonSQLNoSQL Databasedata modeling
Soft Skills
communicationcollaborationproblem-solvingtechnical decision-making