TRUUCO

DevOps, Data Engineer – Data Science Team

TRUUCO

full-time

Posted on:

Location Type: Remote

Location: Germany

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Salary

💰 €55,000 - €75,000 per year

About the role

  • As a DevOps / Data Engineer you will play a central role in building and further developing our data and platform infrastructure.
  • You ensure stable, scalable and automated processes from data integration to production operations.
  • You design, develop and optimize CI/CD pipelines for data workloads and infrastructure components (Infrastructure as Code).
  • You implement high-performance, robust ETL/ELT processes and orchestrate production-ready data pipelines including monitoring, logging and alerting.
  • You ensure the stability, scalability and platform compatibility of our systems and continuously evolve our architecture according to current best practices.
  • You work closely with data scientists, analysts and business units to ensure reliable delivery of high-quality, production-grade data products.
  • You drive the development of a sustainable DataOps culture with a focus on automation, testing, versioning and quality assurance.
  • You evaluate new technologies in cloud and data engineering and introduce them in a targeted manner where they add value.

Requirements

  • You are eager to actively shape the setup and growth of a new company within the cooperative financial group and bring a true start-up mentality.
  • You hold a degree in e.g. (business) computer science, mathematics or a comparable technical field with a focus on data engineering / data analytics.
  • You have several years of professional experience in a DevOps or data engineering environment – ideally in a regulated sector (e.g. financial services).
  • Containerization and orchestration with Docker and Kubernetes are part of your daily work.
  • You have hands-on experience building and operating cloud infrastructures, ideally in the Azure ecosystem (e.g. Azure Databricks).
  • You are comfortable working in agile development environments and have strong coding skills in Python and Java.
  • You have experience with big data technologies such as Spark, Airflow or Kafka.
  • You are familiar with monitoring and observability tools such as Prometheus or Grafana.
  • You demonstrate analytical strength, a structured approach and a high standard of quality.
  • You work independently, responsibly and as a team player and have German language skills at C1 level.
Benefits
  • Permanent employment with an innovative company that combines start-up character with strong shareholders.
  • Significant freedom to shape your work within a motivated team where you can contribute your ideas.
  • A unique opportunity to help shape the data-driven sales organization of the cooperative financial group of tomorrow.
  • Flexible working hours, hybrid work and modern office concepts in Frankfurt and Karlsruhe.
  • Opportunities for professional development tailored to you and your career goals.
  • Regular team events and get-togethers that strengthen team cohesion.
  • Above-average conditions, including an attractive salary with a variable performance-related component and comprehensive benefits such as company pension plan, capital-forming payments (Vermögenswirksame Leistungen), WellPass, internet allowance, commuter allowance and more.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
CI/CDETLELTDataOpsPythonJavaSparkAirflowKafkaInfrastructure as Code
Soft Skills
analytical strengthstructured approachhigh standard of qualityindependentlyresponsiblyteam player