Senior Data Engineer bei Liven

About the role

As a Senior Data Engineer at Liven, you'll be a critical part of our Data & Analytics team—building and maintaining scalable ELT pipelines, ensuring data reliability, and enabling impactful decision-making across the company. This role blends engineering excellence with business insight, giving you the opportunity to influence how data is used company-wide.

You’ll be working with modern open-source tools and cloud-based data platforms, with the autonomy to shape the future of Liven’s data architecture.

What you'll do

• Design, develop, and maintain scalable ELT pipelines using Python and SQL.
• Own and manage data workflows using tools like Airbyte or Meltano.
• Build and maintain robust dbt models and support analytics across the company.
• Operate and improve data infrastructure using DevOps practices and CI/CD pipelines.
• Collaborate with cross-functional teams to define metrics, model data, and deliver high-impact analytical outputs.
• Manage and monitor DAGs in Prefect or Apache Airflow, ensuring data freshness and reliability.
• Use Terraform and infrastructure-as-code principles to provision and manage cloud-based resources.
• Support testing and monitoring using frameworks like Great Expectations (nice to have).
• Contribute to data quality, governance, and documentation best practices.
• Participate in a strong feedback culture, contributing to continuous improvement of data workflows and team practices.

Qualifications

Must-Have Experience

• 4–8 years in Data or Analytics Engineering, ideally in a startup or scale-up environment.
• Strong hands-on skills with Python and SQL.
• Deep experience with DevOps practices and operational ownership of tools like Airbyte or Meltano.
• Solid understanding and experience with dbt.
• Proven track record of building reliable, scalable pipelines in a modern cloud data stack.

Should-Have Experience

• Experience managing large DAGs using Prefect or Airflow.
• Familiarity with Kafka and real-time pipeline architecture.
• Experience using Terraform or other infrastructure-as-code tools.

Good to Have

• Familiarity with ELT testing frameworks like Great Expectations.
• Contributions to open-source data tools or frameworks.
• Experience with proprietary ingestion tools like Fivetran or Segment.