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Data Engineer (all genders) in Stuttgart - PRODYNA SE

PRODYNA SE

Stuttgart · Hybrid 2d ago

About the role

About PRODYNA

PRODYNA is an innovative IT consulting company that provides a comprehensive service portfolio for the entire application lifecycle. With tailor-made solutions in areas such as software development, cloud services, DevOps, Data & AI, Design, Managed Services, and more, we support companies in mastering complex challenges and designing innovative business processes. We rely on state-of-the-art technologies to realize future-proof and scalable solutions.

Working at PRODYNA means being part of a dedicated and future-oriented team that drives innovation and technology with passion and values personal support and development for each individual.

Responsibilities

  • You are responsible for the design and conception of modern data platforms that integrate and process large amounts of data from systems scalably.
  • You also advise renowned clients on cloud transformations and agile software projects.
  • You take over the migration of existing applications to the cloud using Lift & Shift / Lift & Reshape approaches.
  • You implement tools and solutions for ensuring data quality, data cleansing, and providing aggregated data for analysis.
  • You support presales activities in the context of presentations, pitches, and complex customer inquiries.

Requirements

  • You have several years of professional experience in software development, particularly in data-driven projects, data warehousing, or building data platforms.
  • You have knowledge in developing pipelines and data integration routes (ELT/ETL, Azure Data Factory, DBT, Stored Procedures, or similar tools).
  • You are familiar with data modeling and have experience with Data Vault, Data Mesh, Kimball, or Inmon, depending on the area.
  • You are a team player, proactive, and enjoy working independently and solution-oriented.
  • Knowledge in the following areas is an advantage: Cloud (Azure or AWS), Data Science, or Business Intelligence (Reporting Tools).
  • You have extensive experience in Linux, Networking, and Security Best Practices.
  • You already have experience in the conception and execution of training courses.
  • You are willing to be on-site at least twice a week during the onboarding phase.

Application Process

  • Initially, there will be a casual first meeting with HR, where insights will be provided, mutual expectations clarified, and general questions answered to create an initial general framework.
  • A second meeting will delve into technical details, and there may be an assignment to complete. We will discuss project workflows, customer projects, technical requirements, etc. We will naturally involve a subject matter expert for support.
  • In the final step, there will be an opportunity to get a picture of the respective locations on-site and get to know the team over a shared lunch. You will also meet the respective team leader and COO.

Requirements

  • You have several years of professional experience in software development, particularly in data-driven projects, data warehousing, or building data platforms.
  • You have knowledge in developing pipelines and data integration routes (ELT/ETL, Azure Data Factory, DBT, Stored Procedures, or similar tools).
  • You are familiar with data modeling and have experience with Data Vault, Data Mesh, Kimball, or Inmon depending on the area.
  • You are a team player, proactive, and enjoy working independently and solution-oriented.
  • You have extensive experience in Linux, networking, and security best practices.
  • You have experience in the conception and execution of training courses.

Responsibilities

  • You are responsible for the design and conception of modern data platforms that integrate and process large amounts of data from systems scalably.
  • You also advise renowned customers on cloud transformations and agile software projects.
  • You take over the migration of existing applications to the cloud using Lift & Shift / Lift & Reshape approaches.
  • You implement tools and solutions for ensuring data quality, data cleansing, and providing aggregated data for analyses.
  • You support presales activities in the context of presentations, pitches, and complex customer inquiries.

Skills

AWSAzureDBTData FactoryData MeshData VaultELTETLInmonKimballLinuxStored Procedures

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