Senior IT / Digital Solution Engineer

About

As a Senior IT / Digital Solution Engineer, you will be responsible for the conception, development, integration, and operation of modern digital solutions in an agile environment. You will work at the intersection of software engineering, data engineering, DevOps, AI, and business analysis, contributing significantly to the implementation of data-driven and scalable systems.

You will collaborate closely with interdisciplinary teams from development, business, UX, and operations, and accompany solutions throughout their entire lifecycle – from idea to productive operation.

Responsibilities

1. Software and System Development

• Development and further development of applications, services, and interfaces (frontend, backend, REST APIs)
• Implementation of microservice and cloud architectures
• Integration of systems and data sources

2. Data Analytics Engineering

• Building and operating data pipelines (ETL/ELT)
• Data modeling (e.g., Data Vault, Star Schema)
• Development and optimization of data warehouse and analytics solutions (e.g., Snowflake)
• Ensuring data quality, monitoring, and performance

3. DevOps Platform Engineering

• Building and operating cloud and container infrastructures (Kubernetes, OpenShift)
• Using Infrastructure as Code (e.g., Terraform, Ansible)
• Implementing CI/CD and GitOps processes
• Support in operations, incident management, and monitoring

4. Testing and Quality Assurance

• Planning and execution of tests (manual and automated)
• Test design based on risk-based approaches
• Ensuring software quality throughout the entire lifecycle

5. Business Analysis and Requirements Engineering

• Analysis of business processes and derivation of technical requirements
• Creation of specifications, data models, and process landscapes
• Translation between business and IT stakeholders

6. UX and User Centricity

• Gathering user requirements and conducting user research
• Development and validation of prototypes
• Ensuring optimal user experience in complex systems

7. AI Innovation (optional / depending on context)

• Conception and implementation of AI/LLM-based solutions
• Integration of AI into existing processes and systems
• Design of governance, human-in-the-loop, and compliance structures

8. Collaboration and Enablement

• Working in agile teams (Scrum, SAFe)
• Knowledge transfer and coaching of team members
• Support for stakeholders and business units
• Documentation of systems, processes, and architectures

Qualifications

Technical Competencies

• Several years of experience in software engineering, data engineering, or DevOps
• Good knowledge of programming languages (e.g., Java, Python, JavaScript, SQL)
• Experience with cloud technologies and modern architectures
• Knowledge of API design, messaging systems, and databases
• Experience with CI/CD, testing, and agile methods

Methodological Competencies

• Experience in agile development processes (Scrum, SAFe, Kanban)
• Knowledge in requirements engineering and business analysis
• Understanding of software quality, testing, and DevOps principles

Optional / Advanced Skills

• Data platforms (Snowflake, dbt, Airflow)
• Container orchestration (Kubernetes, OpenShift)
• Infrastructure as Code (Terraform, Ansible)
• UX methods and tools (Figma, Miro)
• AI/LLM technologies and their integration

Soft Skills

• Analytical and solution-oriented thinking
• High degree of personal responsibility and structured working style
• Strong communication skills and stakeholder management
• Teamwork and collaborative work
• Willingness to learn and interest in new technologies

Summary

This role combines classic software development with modern disciplines such as data engineering, DevOps, and AI. It is ideal for versatile senior profiles who want to take on end-to-end responsibility and work both technically and conceptually.