Engineering Manager (m/w/d)

The future looks like you

With over 1,300 stores in 17 European countries and more than 27,000 employees, C&A is one of Europe’s leading fashion retailers. Every day, C&A welcomes millions of visitors to its stores in Europe and to its online shop. C&A offers high-quality and long-lasting fashion at affordable prices for all. We are building on 184 years of experience in the fashion industry and continuously modernize the company to become an omnichannel fashion retailer. 

At C&A we are driven by our values. We are united by our passion for fashion and consumers. We believe that affordable and high-quality fashion is not contradictory to caring for people & the planet. We see ourselves as an always-on learning community, always forward thinking and acting to develop our business and innovate the industry. Only when we work together as a team we can face challenges and find innovative solutions.  This is your chance to join the C&A team as an Engineering Manager! 

We are seeking an Engineering Manager-Data Engineering to lead the design, development, and scaling of robust, enterprise-grade data platforms as part of our Data & Analytics team. This servant leader will combine deep technical expertise in data engineering, distributed systems, and modern data architectures with proven engineering leadership to build and optimize data pipelines and platforms that enable advanced analytics and data-driven decision-making.
You will be responsible for the end-to-end data engineering lifecycle from data ingestion and pipeline design to transformation, orchestration, and platform reliability while managing and developing high-performing, cross-functional engineering teams. A strong emphasis on data quality, scalability, performance, and governance, along with a customer-centric mindset, close collaboration with product, analytics, and data science teams, and a passion for continuous improvement and innovation, are critical to success in this role.

Your responsibilities

•    Lead, coach, and mentor one or more cross-functional engineering teams, fostering a collaborative, inclusive, and high-performing culture.
•    Manage the end-to-end implementation and support of data products that enable our business.
•    Drive the design and implementation of scalable data models, business rules, validation logic, and data quality standards in collaboration with architects, stewards, and governance teams.
•    Champion engineering best practices across the team, including code quality, testing, observability, and documentation.

•    Partner with Data Product Managers and Stewards to align engineering execution with business goals and roadmap priorities.
•    Define and track KPIs for team performance and platform health, proactively identifying opportunities for continuous improvement.
•    Ensure compliance with SDLC, change control, and enterprise architecture standards.
•    Maintain awareness of emerging technologies and trends, and evaluate their applicability within our data ecosystem.
•    Present insights, risks, and progress updates to executive leadership as needed.
•    Actively contribute to hiring, onboarding, and professional development of engineering talent.

What you bring

•    Master's Degree in Computer Science, Engineering, or a related technical/business field, or equivalent experience.
•    8+ years of experience in data or software engineering roles, including 5+ years in engineering leadership.
•    Proven track record in delivering and managing data solutions or other components of a Data Platform in enterprise environments.

•    Solid experience with SQL, NoSQL (e.g., MongoDB), Kafka and cloud services like AWS Glue, Data Factory, Databricks etc.
•    Experience leading engineering teams in Agile/DevOps environments, using CI/CD tools (GitHub Actions, Azure DevOps).
•    Strong technical and functional understanding of canonical models, event-driven, and distributed data architectures.
•    Excellent interpersonal and communication skills, with the ability to explain complex technical concepts clearly.
•    Demonstrated ability to create a culture of continuous learning, experimentation, and technical excellence.

What we offer

• A flexible hybrid work environment.
• An employee discount of 20%.
• Access continuous learning and mentorship via the C&A E-Learning Academy and regular feedback sessions.
• Elevate your well-being as we collaborate with top-tier partners dedicated to your holistic health and success (such as OpenUp, Headspace and much more!).

C&A fosters equal opportunity for people of all backgrounds and identities. We are led by a gender-balanced board committed to build a diverse and inclusive organization where everyone can become their best self.

We do not discriminate based on age, disability, gender identity, sexual orientation, ethnicity, race, religion or belief, parental and family status, or any other protected characteristic. We welcome applications from women, men and non-binary candidates of all ethnicities and socio-economic backgrounds. We encourage people belonging to underrepresented groups to apply.

Even if you don't check every box, but see yourself contributing, please apply and help us build an inclusive community.