Senior Data Engineer (m/f/d)

kununu Austria GmbH; Wien; Vor Ort; EUR 70.000 - 80.000; Vollzeit

Benefits dieser Stelle

Bring your dog to the office

6 week vacation

Mobile devices for private use

Restaurant vouchers

Workation up to 12 weeks

Trust-based working hours

Equal terms

Zusammenfassung

kununu Austria GmbH is seeking a Senior Data Engineer to own and evolve the data warehouse and its end-to-end integrations. You will lead data platform initiatives and work with data scientists to deliver data-driven insights.

The role requires strong Python, SQL, and cloud data engineering skills, with a track record of delivering ETL/ELT at scale and deep knowledge of data governance and observability.

Qualifikationen

• Senior Data Engineer with strong Python and data engineering foundations.
• Experience building data warehouses and end-to-end data integrations.
• Ability to lead data platform initiatives and collaborate with data scientists and analysts.
• Proven track record delivering ETL/ELT at scale.

Aufgaben

• Own and evolve the data warehouse and end-to-end data integrations.
• Extend data platform capabilities for internal and external partners.
• Define data quality, performance, reliability, and governance standards.
• Identify bottlenecks and drive pragmatic improvements.
• Collaborate with engineers, scientists, and analysts on data products.

Kenntnisse

Python

SQL

Data warehousing

ETL/ELT

Data quality

Cloud (GCP)

Observability

English communication

Tools

Terraform

Google Cloud

dbt

Jobbeschreibung

Join our team at kununu and become a vital part of our dynamic group of professionals. As a Senior Data Engineer (m/f/d), you'll collaborate with fellow experts in the field and work closely with our team of data scientists to drive innovation and data‑driven insights.

The gross annual salary for this position ranges between €70,000 and €80,000 depending on qualifications and experience.

Tasks

• Own, maintain, and continuously evolve the kununu data warehouse and its end‑to‑end data integrations.
• Lead initiatives to extend our data platform capabilities and enable internal teams as well as external partners in their daily work.
• Define and drive standards for data quality, performance, reliability, scalability, and governance.
• Identify bottlenecks, inefficiencies, and improvement opportunities and take ownership of solving them.
• Collaborate closely with Data Engineers, Data Scientists, and Business Analysts to deliver scalable and innovative data products.

Skills

• Extensive professional experience and strong expertise in Python, software engineering principles, algorithms, data structures, and development best practices.
• Deep hands‑on knowledge of databases, data warehouse solutions, SQL, and ideally dbt.
• In‑depth experience with Infrastructure as Code, especially Terraform, and at least one major cloud provider, preferably Google Cloud.
• A proven track record of successfully delivering ETL or ELT projects at scale.
• A strong engineering mindset with a focus on automation, testing, maintainability, observability, and production‑ready code.
• The ability to identify technical trade‑offs, improve existing systems, and drive pragmatic solutions.
• Excellent English communication skills and the ability to collaborate effectively with both technical and non‑technical stakeholders.

Benefits

• Bring your dog to the office
• 6 week vacation
• Mobile devices also for private use
• Restaurant vouchers and employee discount
• Up to 12 weeks workation
• Trust‑based working hours
• Communication on equal terms

Contact

You still have questions?
Feel free to get in touch with me.