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Venquis in Germany seeks a Data & Backend Engineer to design, build and maintain database integrations and REST APIs connecting core business systems. You will develop and govern data warehouse structures, ensure data quality, and build data/AI pipelines supporting business applications.
The role offers ownership of projects within an international IT team, with responsibilities spanning backend architecture, DevOps practices and ongoing modernization of data infrastructure.
Data & Backend Engineer - Cologne or Munich
An established international consultancy operating at the intersection of business, technology and digital transformation is looking for a Data & Backend Engineer to join its internal technology team.
The company works on complex business challenges for organisations across multiple industries, with technology playing an increasingly important role in how it operates and grows. Within the internal IT team, you'll have the opportunity to contribute directly to this development, building the data infrastructure, integrations and AI capabilities that support the wider business.
This is a great opportunity to join a growing, international environment where technology is closely connected to business strategy, giving you ownership of meaningful projects and the chance to influence how internal systems evolve.
Designing, building and maintaining database integrations and REST APIs to connect business systems and applications.
Developing and maintaining data warehouse structures, ensuring data quality, consistency and governance.
Building and improving data and AI pipelines that support business applications and emerging AI solutions.
Implementing CI/CD pipelines and strengthening DevOps practices to ensure reliable, scalable deployments.
Contributing to backend architecture and helping shape the technical foundations of the company's internal technology landscape.
Working closely with an international IT team, taking ownership of projects and bringing ideas forward to improve existing systems and processes.
A degree in Computer Science, Software Engineering, Data Engineering or a related field.
At least 5 years of professional experience in data engineering, data warehouse development, database design, API development or a similar area.
Strong SQL skills and hands-on experience with ETL/ELT pipelines.
Experience building APIs and integrating databases and business systems.
Familiarity with DevOps tools and CI/CD processes, ideally Azure DevOps or a comparable platform.
An interest in AI infrastructure, with experience integrating LLMs being an advantage.
Strong problem-solving skills, a practical mindset and the ability to work collaboratively.
Business-fluent English; German language skills are an advantage.
The opportunity to work within an international, growing consultancy where technology supports important business decisions and operations.
A role with genuine ownership and the freedom to contribute ideas from day one.
Tailored training, professional development and individual coaching.
Flexible working arrangements to support a healthy work-life balance.
Well-being resources and comprehensive insurance coverage.
Mobility benefits, employee referral rewards and regular team events.