Coaching:

Coaching Description:

What we offer:

– Innovative, modern, and challenging work environment with flat hierarchies and the opportunity to contribute your individual strengths
– Long-term career prospects
– Attractive compensation
– Flexible working hours and home-office options
– Modern workspaces in cool offices, where we also care about your health, e.g. ergonomic chairs, height-adjustable desks, and fresh fruit
– High-quality hardware of your choice
– Annual training opportunities that you can tailor (from specialist seminars to participation in international conferences)
– Numerous benefits:
– VGN company subscription (public transport subsidy)
– JobRad (bike leasing program)
– Childcare subsidy
– Corporate benefits, shopping discounts, gym discounts (e.g. Compustore, Urban Sports, and more)
– Subsidy for company pension scheme / savings plan
– Drinks, muesli, and fruit available at the workplace

Requirements for applying:

In collaboration with our existing and new clients, we live a Community of Practice and maintain a collegial company culture within a dynamic team. Our stakeholders include Project Leads, Product Owners, Business Analysts, Security Engineers, Operations Teams, and Test Teams.

Our clients and projects often utilize technologies such as Java / SpringBoot, JavaScript / TypeScript, KeyCloak, PostgreSQL, MongoDB, JMS, JSON, REST, Kafka, Quarkus, AWS, AZURE, GCP, Docker, K8S, Gitlab, Github, Maven, Terraform, and Helm.

WHAT TO EXPECT

– Develop a data strategy aligned with the client’s business goals
– Design and implement complex data models and ontologies
– Create a consolidated data foundation
– Ensure data quality at the highest level
– Plan and design data architecture for various applications and systems
– Develop and implement data governance procedures
– Select databases, tools, and technologies in line with our clients’ requirements
– Lead a team of architects and developers, supporting their professional development

WHAT WE EXPECT FROM YOU

– Fluent in German (C1) and good English skills
– A degree in Computer Science, Data Science, or equivalent qualification
– Several years of professional experience as a Data Architect or in a similar role
– Experience working with data integration tools and technologies
– Knowledge of data governance and data protection regulations
– Analytical skills and the ability to solve complex problems
– Strong communication and team leadership skills