Junior Data Engineer

NEXUS Automotive International; Genf; Vor Ort; CHF 70.000 - 90.000; Vollzeit

Zusammenfassung

NEXUS Automotive International is seeking a data-focused professional to support onboarding of partner data, transform and enrich data, and enable tailored data services for the NAI community.

You will coordinate service providers, monitor data pipelines (HubSpot, AWS, Snowflake), and collaborate with the data engineering team to improve pipelines using Python and Snowflake SQL. A strong curiosity and quick learning pace are valued.

Qualifikationen

• Engineering degree (HES, EPF) in data, computer science, or information systems or related field.
• 0-2 years’ experience.
• SQL knowledge
• Python knowledge

Aufgaben

• Initial AI Calibration for onboarding: set up AI recipe with business experts.
• Service provider coordination: run tech committee, track SLA, escalate gaps.
• Mapping exceptions: handle 500-800 exceptions per month (new products, taxonomic ambiguities).
• Data pipeline monitoring: oversee HubSpot → AWS → Snowflake, detect anomalies, weekly steerco report.
• Pipeline evolution: contribute to improvements with data engineering team; Python for transformations, Snowflake SQL for analysis.
• BI services support: assist Share of Wallet, price alerts, sectoral dashboard, ensure query performance.

Kenntnisse

SQL

Python

Ausbildung

Engineering degree (HES/EPF) in data/CS/IS

Tools

AWS

Snowflake

Git

Jobbeschreibung

Created 12 years ago, NEXUS Automotive International (NAI) is the global leading intermediary company between manufacturers (>100), leading distributors of the independent automotive aftermarket worldwide (>500), and workshops (>5000) in the automotive aftermarket. NEXUS Automotive International is managing consolidated sales above 50 billion €.

Mission Summary

Type of contract: permanent - full-time

Mission: Participate in the NEXUS data initiative by collecting product reference data from our partners, transforming and enriching data, to support the development of tailored data service to the NEXUS community and to boost added value for all.

Key responsibilities

• Initial AI Calibration for onboarding. Set up initial AI recipe to enable partner data onboarding jointly with business experts.
• Service provider coordination. Run tech committee with service provider regularly, Track SLA (mapping precision >95%, timeliness). Escalate gaps to the tech lead.
• Mapping exceptions. Handle ~500-800 exceptions/month: new products, taxonomic ambiguities, obsolete references.
• Data pipeline monitoring. HubSpot → AWS → Snowflake. Detect anomalies (volumes, formats, latencies). Weekly report to the steerco.
• Pipeline evolution. Contribute to pipeline improvements with the data engineering team. Python for business transformations, Snowflake SQL for analysis.
• BI services support. Share of Wallet, price alerts, sectoral dashboard: aggregate quality, k-anonymity, query performance. Daily contact with the data product owner.

Required skills / Experience / Qualification

• Engineering degree (HES, EPF). Specialization in data, computer science, or information systems or related field.
• 0-2 years’ experience.
• SQL knowledge
• Python knowledge

We don't expect deep expertise in everything. We expect someone who codes Python, understands SQL, isn't afraid of AWS, and learns the rest fast. Curiosity and resourcefulness matter more than years of experience.

Desired skills

• Git
• AWS
• Snowflake
• Project management

At Nexus Automotive International, we are driven by our core values of Agility, Entrepreneurship, and Innovation. We believe that these principles empower us to excel in a fast-paced industry and drive meaningful impact for our partners and communities worldwide.

We are committed to creating an inclusive and diverse workplace where everyone can thrive, bringing their unique perspectives and talents to the table. Join us at Nexus, where people are at the heart of our mission, and let’s shape the future of the automotive aftermarket together.

All personal data communicated by you to our company as part of this current recruitment will be treated confidentially and in compliance with the Data Protection Act. If this procedure does not lead to your engagement, the company hereby undertakes to destroy the data or if you so request, to return your file to you.