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Cloud Software Engineer (m/f/d) - job post

Riverty Group GmbH
3.2 out of 5
Oslo
Heltid
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Jobbtype

  • Heltid

Sted

Oslo

Full stillingsbeskrivelse

At Riverty, we believe that everyone should be in control of their own financial situation. Our shared commitment is to make financial solutions more innovative, empathetic and user-friendly to empower financial growth for everyone. To do this, we rely on 50 years of experience and the commitment of over 5,000 creative minds, innovators and explorers in 11 countries.

Are you ready?

As part of our community, you will have the opportunity to develop your skills and transform the world of finance together with us. We create an environment where you can evolve personally and benefit from our flexible working conditions and work-life balance.

We are looking for a

Cloud Software Engineer (m/f/d)

(unlimited, full-time) Join our team at our location in Berlin, Verl, Baden-Baden or Oslo – flexible working conditions available

Are you passionate about shaping the future of data engineering and cloud platforms? Do you thrive in an agile environment, ready to take on challenges with a can-do attitude? If you're a talented Cloud Software Engineer with a strong interest in data and a drive to innovate, we want you to join our team!

As a Cloud Software Engineer in our Data and Analytics department, you will play a crucial role in building and maintaining our cutting-edge cloud data platform. You'll work closely with cross-functional teams to design, develop, and deploy scalable solutions that enable efficient data processing, storage, and analysis. Your contributions will drive insights and decision-making across the organization.

These will be your challenges and tasks:

  • Collaborate with product owners, data scientists, and other engineers to understand requirements and translate them into technical solutions
  • Design, develop, and deploy cloud-based data engineering solutions using tools like Databricks, Python, SQL, and Terraform
  • Implement data pipelines for ETL (Extract, Transform, Load) processes, ensuring reliability, scalability, and performance
  • Optimize data storage and retrieval mechanisms to support diverse analytical workloads
  • Implement monitoring and logging solutions to ensure the health and performance of the data platform
  • Work in an agile environment, participating in sprint planning, daily stand-ups, and sprint reviews
  • Contribute to code reviews, share knowledge, mentor junior team members and stay updated on cloud computing and data engineering trends as well as best practices.

How you will be successful in this role:

  • Bachelor's degree in Computer Science, Engineering, or related field
  • 3+ years of experience in software engineering, with a focus on cloud-based solutions
  • Strong proficiency in programming languages such as Python, SQL, and experience with version control systems like Git
  • Hands-on experience with cloud platforms (especially Azure, AWS or GCP also relevant) and infrastructure-as-code tools like Terraform
  • Experience with data engineering tools and frameworks, particularly Databricks
  • Solid understanding of data management principles, data modeling, and data warehousing concepts and a desire to contribute to building innovative data solutions
  • Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams
  • Agile mindset with a proactive and adaptable approach to challenges
  • Exceptional communication skills in English, both written and verbal, German is a plus

Benefits:

  • At Riverty, you can be who you are. We are committed to creating an inclusive environment and a culture of appreciation, enriched by our employee networks.
  • Prioritize your health with supported sports and leisure activities.
  • Take advantage of our numerous training and development opportunities! Enhance your skills with training offered by the Bertelsmann University, language courses, or leadership training.
  • Benefit from our discounts on Bertelsmann products and financial incentives.
  • With our diverse work models, you can tailor your work to your preferences. Take advantage of mobile office, flexible working hours, and part-time models.

Nice to haves:

(We would be especially excited if you have any of the following (but we’re also excited if you come learn with us):

  • Experience with big data technologies such as Spark or Kafka
  • Familiarity with containerization technologies like Docker and Kubernetes
  • Knowledge of machine learning and data science concepts
  • Experience with CI/CD pipelines and automated testing frameworks

Equal Opportunity Employer Statement

We want to be a fair and inclusive employer. We value the diverse perspectives that a diverse workforce brings to the table. Therefore, we are actively looking for people who enrich our company through their identity, background and personal experiences, with or without a disability.

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