Data Engineering Manager

As a Data Engineering Manager at Contentsquare, you will lead a team of senior backend engineers to develop a service that unifies user identities across devices. You'll be responsible for architectural decisions, ensuring the successful delivery of large-scale backend/data projects, and mentoring your team to foster a culture of collaboration and high performance.

The ideal candidate for the Data Engineering Manager position at Contentsquare should have substantial experience as a backend or data engineer in a data-intensive environment, along with 2 to 3 years of engineering management or technical leadership experience. Familiarity with technologies such as AWS, Kafka, Scala, and Python is a plus, ensuring you can navigate both technical and organizational challenges effectively.

In the role of Data Engineering Manager at Contentsquare, you will be working with a diverse tech stack that includes JavaScript, Node.js, Python, Scala, Go, Kafka, and AWS. This environment emphasizes reliability, performance, and long-term scalability, which are crucial for delivering high-impact data projects.

Contentsquare is committed to investing in its people, offering career development opportunities, mentorship, and regular team interactions through various social events. As a Data Engineering Manager, you will have the chance to set goals, engage in regular 1:1 sessions, and contribute to fostering a strong ownership culture within your team.

At Contentsquare, the work culture is inclusive and collaborative. As a Data Engineering Manager, you will play a key role in nurturing a pragmatic engineering culture that values teamwork, communication, and professional growth. Our commitment to diversity and inclusion ensures a supportive environment for all employees to thrive.

To prioritize tasks effectively as a Data Engineering Manager, I focus on aligning team goals with business objectives, evaluating the impact of each task, and considering team capacity. Regularly communicating with my team helps to get input on what’s critical, allowing us to adapt to any changes in priorities swiftly.

Fostering collaboration involves creating a safe space for open discussions, encouraging knowledge sharing through regular team meetings or workshops, and promoting a culture where all feedback is constructive. I also initiate team-building activities to strengthen personal connections among team members.

Certainly! I have extensive experience working with a variety of backend technologies, including Node.js and Python. I focus on writing scalable code, optimizing system performance, and ensuring that our architecture remains adaptable to changes while maintaining reliability.

Handling conflicts requires empathetic listening and mediation skills. I encourage team members to express their concerns openly and facilitate discussions to reach a common understanding. This often involves finding solutions that align with our team objectives and reinforcing our shared goals.

My approach to mentoring junior engineers involves establishing clear objectives for their career development, providing ongoing feedback, and sharing my own experiences. I believe in encouraging independence while being available for guidance, which helps build their confidence and technical skills.

To ensure quality, I emphasize the importance of thorough code reviews, automated testing, and continuous integration practices. I advocate for establishing clear coding standards and encouraging engineers to take ownership of their parts of the codebase, ensuring they understand the impact of their work.

I track metrics related to delivery timelines, code quality, and team satisfaction to measure performance. Regular check-ins and feedback sessions also help gauge the team’s engagement and identify areas for improvement in our processes.

Keeping my team motivated involves recognizing and celebrating their contributions regularly, providing opportunities for skill development, and encouraging a balance between challenging work and personal time. I believe that fostering a positive environment where everyone feels valued is key to sustained motivation.

When approaching architectural decisions, I consider factors like scalability, performance, and the potential for future growth. I encourage collaborative discussions with my team to solicit diverse viewpoints and ensure we make well-informed choices that benefit our long-term objectives.

My experience with scaling data systems includes designing architectures that can handle significant growth and user demand. It involves implementing best practices around data processing and storage while continuously monitoring system performance to make adjustments as needed.