The challenge awaiting you
We are looking for a senior-level software developer / engineer who can take ownership of end-to-end data pipelines and services, from sourcing and ingestion to transformation, storage, and delivery.
You will play a key role in building and evolving our automotive data platform, enabling internal teams and client-facing applications to efficiently access and leverage structured, high-quality data.
The tasks awaiting you:
1. Data Sourcing & Ingestion

• Build reliable pipelines to ingest data from multiple sources (files, APIs, third-party).
• Handle large and diverse datasets (structured and semi-structured).
• Ensure data validation and quality at ingestion.
• Support both batch and near real-time processing.

2. Data Pipeline & Platform Engineering

• Design and maintain scalable ETL/ELT pipelines.
• Define data models and standard formats.
• Transform, normalize, and enrich data.
• Optimize performance, scalability, and storage.

3. Data Modeling & Standardization

• Define and enforce data standards and consistency rules.
• Convert raw data into structured, business-ready formats.
• Work with complex datasets (automotive experience is a plus)

4. API & Data Services Development

• Develop REST APIs and microservices for data access.
• Optimize performance (caching, indexing, query efficiency).
• Enable data delivery via APIs and integrations.

5. Data Access, Exploration & Visualization

• Build or contribute to internal data exploration tools.
• Enable efficient search, filtering, and analysis of data.
• Collaborate with product and UX teams to improve usability.

6. AI & Data Intelligence Enablement

• Prepare data for AI/ML use cases and integrate such capabilities.
• Use AI tools for extraction, classification, enrichment, and smart search.
• Integrate external AI/ML services via APIs.
• Stay updated on AI trends (LLMs, NLP).

7. System Architecture & Cloud Infrastructure

• Contribute to scalable, distributed system design.
• Work with cloud platforms (Azure/AWS/GCP), Docker, and optionally Kubernetes.
• Implement CI/CD pipelines for data and services.

8. Monitoring, Reliability & Data Quality

• Set up monitoring, logging, and alerting.
• Ensure data quality, consistency, and traceability.

9. Collaboration & Leadership

• Collaborate with technical and business teams.
• Translate business needs into technical solutions.
• Mentor junior team members.
• Promote continuous improvement and best practices.

The benefits that await you:

• A professional development environment.
• Training provided by the experts at Infopro Digital Automotive.
• Various bonuses, depending on performance.
• Possibility to work in a hybrid program.
• Medical care subscription.
• Competitive salary.
• Flexible work hours because a good work-life balance is very important to us.
• Additional days off.