Data Engineer

Full time
Cluj Napoca
Senior
About
We are looking for a skilled Data Scientist / Data Engineer to join a dynamic and data‑driven team operating in a highly technical environment. In this role, you will collaborate closely with IT architects, developers, testers, and application administrators to design, build, and optimize data solutions that support complex analytical and engineering needs. You’ll also maintain strong communication with business and technical stakeholders to ensure alignment between data capabilities and organizational objectives. The ideal candidate is analytical, curious, and passionate about transforming raw data into meaningful insights. They enjoy working in a collaborative environment where ideas are valued, experimentation is encouraged, and data plays a central role in decision‑making. This is an excellent opportunity to contribute to impactful data initiatives in a fast‑paced, innovative setting.
Relocation package
Job rotation
Learning through Arnia Academy
Attractive projects
Flexibile working hours
Performance bonuses
Medical benefits
Trainings
Competitive compensation package
Referral program
International work experience

Requirements:

  • Experience in data analysis, data engineering, or similar technical roles.
  • Strong programming skills in Python or a comparable data‑oriented language.
  • Experience with big data platforms (Databricks, Spark) is a strong advantage.
  • Familiarity with complex technical data formats and tools used in automotive or embedded systems environments.
  • Ability to work independently across the full data lifecycle: ingestion, processing, analysis, and visualization.
  • Strong communication skills for presenting technical insights to both technical and non‑technical stakeholders.
  • A collaborative mindset and interest in contributing to high‑quality, innovation‑driven engineering work.

 

Responsibilities:

  • Evaluate development and fleet data to calculate KPIs that measure function performance, and support teams in defining their own KPI logic, fostering data literacy across the organization.
  • Work end‑to‑end with data pipelines using third‑party tools (e.g., PMT Tool Engineer, Data Ecosystems, Nublar) to analyze ECU, debug, raw, map, and other technical data types.
  • Automate metric execution (e.g., via Databricks) and develop new KPIs in collaboration with feature development teams.
  • Maintain and update existing metrics, including code adjustments, refactoring, and manual execution when required.
  • Communicate complex analytical insights clearly and contribute to shaping new data‑related processes and standards.
  • Support analytics across various measurement devices (CASSANDRA, Vector, ADTF, NI/PXI, G.i.N) and data formats such as bytesoup, hdf5, mf4, tdms, pcap, pcapng, blf, adtfdat.
  • Build and maintain visualizations and dashboards in ElasticSearch, Kibana, Databricks, or PowerBI.
  • Set up batch conversion jobs and data workflows for storage and transfer on virtual machines or Databricks.
  • Apply modern engineering practices including code reviews, testing, documentation, and pull‑request workflows.
  • Generate metric reports, create data campaigns using customer fleet data, and monitor function performance using structured backend data or custom analytical workbenches.
  • Develop live visualizations to track incidents by geolocation and road segment.
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