Senior Data Engineer

CLC Consulting
Wien, Austria
6 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
2 years minimum
Compensation
€75,000.0
Working hours
Regular working hours
Languages
English, German
Job source

Tech stack

Airflow Amazon Web Services Big Data Cloud Computing Code Review Computer Programming Information Engineering Data Infrastructure Extract Transform Load (ETL) Data Systems Relational Databases Python (Programming Language)
+9 more
PostgreSQL NoSQL Software Maintenance Software Engineering SQL Databases Kubernetes Data Management Data Pipelines Docker

Job description

  • Build and maintain the data infrastructure supporting the business
  • Develop, test, and optimize Python-based data applications, frameworks, and services
  • Design reliable pipelines to collect, process, store, and distribute large datasets
  • Improve data platforms, libraries, and internal frameworks to increase team efficiency
  • Ensure data quality, reliability, and accessibility across the organization
  • Contribute to technical documentation, code reviews, and production support
  • Take ownership of solutions from idea to implementation

Requirements

Are you passionate about building reliable data systems that enable complex analysis and research?

Do you enjoy solving challenging data engineering problems, working with large datasets, and building the foundations that help teams make better decisions?

Would you like to work in an environment where you have real ownership, minimal bureaucracy, and the freedom to build solutions your way?, * 2-3+ years of experience in Data Engineering, Software Engineering, Data Science, or a related technical field

  • Strong programming skills in Python, especially in a data engineering context
  • Experience building and maintaining data pipelines, ETL processes, and data applications
  • Strong knowledge of relational databases (SQL/PostgreSQL) and experience with NoSQL databases
  • Experience designing reliable, maintainable software solutions with a strong engineering mindset
  • Familiarity with cloud and infrastructure technologies such as AWS, Docker, Kubernetes is an advantage
  • Experience with tools like Apache Airflow or similar workflow orchestration frameworks is a plus
  • Strong analytical thinking and the ability to independently solve complex technical problems
  • Curious, proactive, and comfortable working in a highly autonomous environment
  • Fluent in English and German

Benefits & conditions

  • Work on intellectually challenging problems in a data-intensive environment
  • Collaborate with highly talented professionals
  • Build systems that directly support real-world business-critical decisions
  • Enjoy a high level of autonomy, ownership, and technical freedom
  • Work in a flat organization with minimal bureaucracy and no unnecessary processes
  • Join a growing international firm where engineering excellence and curiosity are highly valued

Annual gross salary: STARTS from €75,000 (Depending on experience and skills)

About the company

Our client is a technology-driven financial services company with offices worldwide. Their teams combine in-depth research, advanced technology, and large-scale data analysis to solve complex business challenges and support data-driven decision-making.

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