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ADEAL Systems GmbH
ADEAL Systems GmbH
11 – 50 Angajați
CălătoriiConsultanțăLogistică
ADEAL Systems GmbH este o companie germană specializată în date și inteligență artificială, care ajută organizațiile să transforme informațiile fragmentate în decizii utile bazate pe date. Activitatea sa cuprinde platforme de date, servicii de tip data lake și soluții de învățare automată, iar produsele includ platforma de date bancare EcoAsset.AI și un asistent pentru obligațiuni garantate. Compania oferă și servicii de inteligență artificială, precum recomandări ca serviciu pentru comerțul cu amănuntul și comerțul electronic. ADEAL deservește întreprinderi mici și mijlocii și clienți corporativi din domeniile bancar, turism și transport, comerț, alimentație și administrarea facilităților.
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Locurile de muncă ale companiei

Senior Data Engineer, Cloud & Analytics

Build cloud, data, and analytics solutions for ADEAL Systems, taking technical ownership of architecture, data pipelines, and customer projects.

DEGermaniaHibridNormă întreagăSeniorLimbă Obligatorie: germanăLimbă Obligatorie: englezăInginer de date
AWSAzureCloudGoogle Cloud PlatformJavaLinuxMavenMicroserviciiNoSQLPythonSpringSQLUnix

Descriere

  • Develop and improve software for data engineering, analytics, and cloud projects independently.
  • Design, build, and optimize data pipelines, interfaces, and data-driven applications.
  • Help shape architecture decisions, data models, and technical solution designs.
  • Deliver cloud-based data and software solutions using AWS, Azure, GCP, or OCI.
  • Turn complex technical requirements into robust, scalable, maintainable solutions.
  • Work with relational databases, NoSQL databases, or both.
  • Maintain quality through testing, code reviews, and technical documentation.
  • Work closely with customers, project teams, and internal stakeholders.
  • Guide and support less experienced team members.

Cerințe

  • Bring substantial experience across several relevant technical areas.
  • Have practical experience with at least one major cloud platform: AWS, Microsoft Azure, GCP, or OCI.
  • Have several years of experience in software development, data engineering, or both.
  • Know Java or Java Enterprise, Spring, REST, XML, or web services very well.
  • Have strong SQL skills and experience with relational databases.
  • Have worked with data pipelines, interfaces, data integration, or analytics applications.
  • Experience with Python, Unix/Linux shell, or similar tools is an advantage.
  • Understand software architecture, including multi-tier systems, microservices, or design patterns.
  • Be proficient with Git, Maven, Jira, or comparable tools.
  • Experience with big data technologies, modern data platforms, or cloud-native architectures is an advantage.
  • Work in a structured, analytical, and self-directed way.
  • Be able to interpret technical requirements, propose solutions, and implement them.
  • Have experience in agile settings such as Scrum or Kanban.
  • Experience in customer projects or IT consulting is an advantage.
  • Hold a degree in computer science, business informatics, mathematics, or natural sciences, or have an equivalent practical qualification.
  • Speak German very well and have a good command of English.

Beneficii

  • Join a small, experienced IT team in a long-term permanent role.
  • Take on challenging work with technical ownership.
  • Help shape architecture, implementation, and technical decisions directly.
  • Benefit from quick decisions and direct contact with experienced colleagues and company leadership.
  • Work in a structured, collaborative environment.
  • Use a hybrid model with substantial remote work.
  • Develop professionally through modern technical work.
  • Contribute to projects with practical relevance and visible outcomes.
  • Take on responsibility and help less experienced colleagues grow.
  • Receive a permanent employment contract.

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