Data Engineer (m/f/x)

Computer Futures; Wien; Vor Ort; EUR 85.000 - 100.000; Vollzeit

Benefits dieser Stelle

Annual bonus program

Training opportunities

Autonomy & ownership

Central Vienna office

Zusammenfassung

Computer Futures is seeking a Data Engineer in Vienna to design and implement scalable ETL pipelines for large-scale data environments. You will own data workflows, optimize pipelines, and collaborate with a skilled team in a modern office setting.

The role requires at least 2 years of Data/Software Engineering experience, MSc/PhD in a technical field, strong Python/SQL, PostgreSQL, AWS, Docker/Kubernetes expertise, and excellent English communication.

Qualifikationen

• Requires MSc or PhD in a technical field (CS/Engineering/Data Science).
• At least 2 years of professional Data/Software Engineering experience.
• Strong hands-on Python and SQL in production environments.
• Experience with PostgreSQL and modern analytical DBs like ClickHouse is a plus.
• Experience building cloud-native solutions on AWS.
• Familiarity with containerization/orchestration (Docker, Kubernetes).
• Proficient with Git and modern software dev practices.
• Excellent English communication skills.

Aufgaben

• Design and implement scalable ETL solutions for structured and unstructured data, including batch and streaming workloads.
• Build, maintain, and optimize data pipelines for reliable, high-quality data for internal stakeholders.
• Monitor data workflows, troubleshoot issues to ensure smooth operations.
• Contribute to data modelling, database design, job scheduling, and data engineering best practices.
• Continuously improve data infrastructure and modernize legacy processes.

Kenntnisse

Python

SQL

Git

Docker

Kubernetes

AWS

PostgreSQL

ClickHouse

Apache Airflow

Kafka

Spark

Dask

Hadoop

Java

Git

English communication

Ausbildung

MSc or PhD in Computer Science/Engineering/Data Science

Tools

ClickHouse

AWS

Docker

Kubernetes

PostgreSQL

Jobbeschreibung

Are you ready to build the data foundation that drives business-critical decisions? Do you enjoy designing scalable data solutions, working with modern cloud technologies, and taking ownership of complex data challenges? Then this opportunity could be exactly what you're looking for.

Our client, an award-winning company in the trading sector, is looking for a passionate Data Engineer (m/f/x) to join their growing international team in Vienna. If you enjoy working with large-scale data environments, collaborating with highly skilled colleagues, and continuously improving systems and processes, then keep reading - your next challenge awaits.

• An attractive annual gross salary between €85,000 and €100,000, depending on your education and experience, plus a performance-based bonus on top.
• Comprehensive external and internal training opportunities to support your professional development.
• The opportunity to exchange ideas with a highly competent team and plenty of freedom to implement your creative ideas.
• A high-trust working environment with no micromanagement and a strong focus on ownership and autonomy.
• Top-notch work equipment that provides you with optimal working conditions.
• A beautiful, modern office in a prime central location with excellent public transport connections.
• Numerous company events.

Your Responsibilities:

• Design and implement scalable ETL solutions for structured and unstructured data, including both batch and streaming workloads.
• Build, maintain, and optimize data pipelines to ensure reliable and high-quality data for internal stakeholders.
• Monitor data workflows, investigate pipeline and data availability issues, and troubleshoot problems to ensure smooth operations.
• Contribute to data modelling, database design, job scheduling, monitoring, and overall data engineering best practices.
• Continuously improve existing data infrastructure, optimize performance, and help modernize legacy processes and workflows.

Your Profile:

• You have at least 2 years of professional experience as a Data Engineer, Software Engineer, or in a similar position.
• You hold a degree (MSc or PhD) in Computer Science, Engineering, Data Science, or a related technical discipline.
• You have strong hands-on experience with Python and SQL in production environments.
• You are experienced with relational databases, particularly PostgreSQL, and ideally have exposure to modern analytical databases such as ClickHouse.
• You have practical experience building and operating cloud-native solutions on AWS.
• You are familiar with containerization and orchestration technologies such as Docker and Kubernetes.
• Experience with tools such as Java, Apache Airflow, Kafka, Spark, Dask or Hadoop is considered a plus.
• You are proficient with Git and modern software development best practices.
• Knowledge of financial markets is an advantage but not a requirement.
• You are a proactive, self-driven individual who enjoys taking ownership and solving complex technical challenges independently.
• You have excellent English communication skills.

Does this sound like your next career move?