Experienced Data Engineer

Tropos delivers scalable and reliable data analytics solutions that lead to actionable business insights. We collaborate with clients across diverse industries and help them unlock the full potential of their data by combining our deep expertise with unrivaled automation.

We believe in a no-nonsense, results-driven approach—no buzzwords, just clear communication and measurable impact.

We’re a highly attuned team. Thanks to our seamless and pleasant collaboration, we’re able to move fast and deliver with care and precision.

As an experienced Data Engineer, you will be responsible for building and running the data foundations that power analytics, reporting, and AI use cases.

You design, develop, deploy, and maintain modern data pipelines and platforms. You work across the modern data stack—from ingestion to transformation and delivery—ensuring scalability, reliability, and high-quality data products for our clients.

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  Build and maintain robust data pipelines from ingestion to consumption.

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  Develop scalable ELT workflows using modern tools such as dbt.

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  Implement and optimize cloud-based data solutions across Azure/AWS/GCP.

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  Leverage Snowflake or Databricks for scalable warehousing and lakehouse workloads.

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  Design and maintain clean, well-structured data models for analytics and self-service BI (Data Vault 2.0, …).

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  Apply DevOps-style practices to data work: CI/CD, version control, automated deployments.

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  Document solutions clearly so clients can operate and extend them independently.

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  Contribute to continuous improvement through reusable engineering patterns and knowledge sharing.