Data Engineer

SThree Germany
Wien, Austria
18 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Compensation
€85,000.0 - €100,000.0
Working hours
Regular working hours
Languages
English
Job source

Tech stack

Java (Programming Language) Airflow Amazon Web Services Big Data Cloud Computing Databases Data Infrastructure Extract Transform Load (ETL) Relational Databases Database Design Apache Hadoop Job Scheduling
+13 more
Python (Programming Language) PostgreSQL SQL Databases Unstructured Data Apache Spark Git Containerization Information Technology Dask Apache Kafka Vertica Data Pipelines Docker

Job description

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., * 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.

Requirements

  • 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.

Benefits & conditions

€85000 - €100000 per annum + attractive salary, bonus, company events Unbefristet Vollzeit NEU

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., * 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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.adzuna.at

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