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ADEAL Systems GmbH

Senior Software Engineer, Data & Cloud / Senior Data Engineer

ADEAL Systems GmbH

Senior Data Engineer building scalable cloud, data pipeline, and analytics solutions. ADEAL Systems delivers software, data, and analytics consulting services for business clients.

Posted 8/9/2026full-timeNeu-Isenburg • 🇩🇪 GermanySeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Data Engineering and Analytics, with a strong focus on cloud-based solutions using AWS, Microsoft Azure, or GCP. Proficient in software development, particularly with Java, SQL, and data pipeline optimization, while effectively collaborating with clients and mentoring team members.

Highest-signal resume keywords
Cloud-Based Solutions ImplementationData Pipeline DevelopmentJava / Java Enterprise ProficiencySQL and Relational Database ExperienceAgile Methodologies Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data EngineeringSoftware DevelopmentJavaSQLData PipelinesPythonUnix/LinuxMicroservicesGitMaven
Soft Skills
Analytical ThinkingSelf-Driven Work StyleTechnical MentoringCollaborationClient Engagement
Tools & Technologies
AWSMicrosoft AzureGCPJiraRESTXMLBig Data TechnologiesAgile Tools
Industry Keywords
Data EngineeringAnalyticsCloud ComputingSoftware ArchitectureIT Consulting

Tech Stack

Tools & technologies
AWSAzureCloudGoogle Cloud PlatformJavaLinuxMavenMicroservicesNoSQLPythonSpringSQLUnix

About the role

Key responsibilities & impact
  • Independent development and enhancement of software components in the areas of Data Engineering, Analytics, and Cloud
  • Design, implementation, and optimization of data pipelines, interfaces, and data-driven applications
  • Contribution to architecture decisions, data models, and technical solution concepts
  • Implementation of cloud-based data and software solutions on platforms such as AWS, Microsoft Azure, GCP, or OCI
  • Analysis of complex technical requirements and translation into robust, scalable, and maintainable solutions
  • Working with relational and/or NoSQL databases
  • Quality assurance, testing, code reviews, and technical documentation
  • Close collaboration with clients, project teams, and internal stakeholders
  • Technical mentoring and support for less experienced colleagues in the team

Requirements

What you’ll need
  • Solid experience in several relevant technical areas and the ability to quickly get up to speed in new technical environments
  • Practical experience with at least one major cloud provider: AWS, Microsoft Azure, GCP, or OCI
  • Several years of experience in software development and/or data engineering
  • Strong knowledge of Java / Java Enterprise, Spring, REST, XML, or web services
  • Good to very good SQL skills and experience with relational databases
  • Experience with data pipelines, interfaces, data integration, or analytical applications
  • Experience with Python, Unix/Linux shell, or similar tools is a plus
  • Understanding of software architecture, e.g. multi-tier architectures, microservices, or design patterns
  • Confident use of Git, Maven, Jira, or similar tools
  • Experience with big data technologies, modern data platforms, or cloud-native architectures is an advantage
  • Structured, analytical, and self-driven working style
  • Ability to understand technical requirements, develop solution proposals, and implement them
  • Experience with agile methods such as Scrum or Kanban
  • Experience in client projects or IT consulting is a plus
  • Degree in Computer Science, Business Informatics, Mathematics, Natural Sciences, or a comparable practical qualification
  • Very good German language skills and good English language skills

Benefits

Comp & perks
  • A long-term permanent position in a small, experienced IT team
  • Challenging tasks with technical responsibility
  • Direct involvement in shaping architecture, implementation, and technical decisions
  • Short decision-making processes and direct exchange with experienced colleagues and management
  • A structured, collegial working environment
  • Hybrid working model with a high degree of remote work
  • Modern technical topics and opportunities for professional development
  • Projects with real-world relevance and visible outcomes
  • The opportunity to take on responsibility and to mentor less experienced colleagues