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Data Engineer @ VCG.AI

Opis delovnega mesta

We are building and scaling the global supply chain intelligence platform for the circular and biobased industry. We have the domain experts, PhD AI scientists, and the massive datasets. You will take on "messy", real-world data streams, turn them into a pristine, scalable, automated infrastructure, and become the backbone of our data team.

What you will actually do:
- Build the Pipes: Design and build robust ETL/ELT pipelines using Python.
- Tame the Chaos: Ingest data from fragmented sources (APIs, messy JSONs, PDFs, legacy databases) and make it usable for our product.
- Own the Stack: Manage our orchestration (Airflow/Dagster), warehousing, and CI/CD pipelines.
- Enforce Quality: You are the gatekeeper. You ensure that if a pipeline breaks at 3 AM, we know why, and it fixes itself.

Od kandidatov zahtevamo

Must-Haves:
- Python Expert: You write clean, modular, tested code. You treat data pipelines as software products.
- Orchestration: Deep experience with Airflow, Dagster, or Prefect.
- Architecture: Experience setting up data warehouses (Postgres/Snowflake/BigQuery) and modelling data schema.
- Cloud Native: Comfortable with AWS/GCP and containerization (Docker/Kubernetes).

Nice-to-Haves:
- Experience with vector databases (Weaviate/Pinecone).
- Interest in the circular economy/biotech sector.

Kandidatom ponujamo

- A full-time position solving one of the largest industrial challenges of the 21st century - how to continue producing everything we need and take for granted when that requires 2x the resources our planet has to offer.
- Work in a small, experienced and highly collaborative international team (AI engineers & domain experts) with a startup mentality, where your work and ideas will shape how we scale our data pipelines and product globally.
- 4.000 - 6.000 EUR starting salary.
- Remote opportunity with the possibility of joining the team in our Ljubljana & Stuttgart (DE) offices.
- Home office & professional development budget




Kontakt

If you are interested in the position, send us your CV to jon@vcg.ai & jonas@vcg.ai!

Klasifikacija delovnega mesta

Lokacija:
Ljubljana (remote/hybrid)
Plačilo:
4.000 - 6.000 EUR (based on experience) EUR / mesec
Delovni čas:
po dogovoru

 

Zahtevana znanja

Python
ekspert
Orchestration
napredno znanje
Architecture
napredno znanje

O podjetju

VCG.AI is an EIC-backed AI startup based in Stuttgart, Germany, with an office in Ljubljana. We build the intelligence layer for the circular economy, enabling industry in 15 European countries to transition to sustainable raw materials and resilient supply chains.

Our platform leverages AI and integrates numerous data sources covering markets, technologies, and regulations to map pathways from waste to markets, identifying the most promising technologies, partners, and opportunities that drive industrial circularity.

Zakaj bi želel delati za vas

At VCG.AI, what you build truly matters. Your work directly contributes to solving one of the biggest industrial challenges of our time; how to move from fossil-based production to circular and sustainable raw materials.

Industries worldwide are rethinking how materials are sourced, produced, and recycled. It's a complex puzzle, and AI-powered intelligence will define who succeeds in this transition. VCG.AI builds that intelligence layer.

We are an EIC-backed AI startup, receiving €2.5 million to scale our platform. From Stuttgart and Ljubljana, we already serve clients in 15 European countries, including some of the world's largest manufacturers.

Join us if you want to:
- Work with a small, passionate, international team of developers, AI engineers, and domain experts.
- Take ownership and see your ideas directly shape a product with real industrial and environmental impact.
- Build technology that accelerates the transition to a sustainable future.

At VCG.AI, we are not just writing code; we are building the intelligence layer that helps European and global industries become circular and sustainable for all 9 billion of us.

Programerski vprašalnik