Data Engineering Manager

DeepL is a global communications platform powered by Language AI. Since 2017, we’ve been on a mission to break down language barriers. Our human-sounding translations and intelligent writing suggestions are designed with enterprise security in mind. Today, they enable over 100,000 businesses to transform communications, reach new markets, and improve productivity. And, empower millions of individuals worldwide to make sense of the world and express their ideas.

Our goal is to become the global leader in Language AI, building products that drive better communication, foster connections, and make a real-life impact. To achieve this, we need talented individuals like you to join our exciting journey. If you're ready to work with a dynamic team and build your career in the fast-moving AI space, DeepL is your next destination.

What sets us apart

What sets us apart is our blend of modern technology, competitive benefits, and an open, welcoming work culture that enables our people to thrive. When we share what it's like to work at DeepL, the reactions are overwhelmingly positive. This may be because of our products that have helped countless people worldwide or our shared mission to improve communication for individuals and businesses, bringing cultures closer together. What we know for sure is this: being part of DeepL means joining a team dedicated to innovation and employee well-being. Discover what our teams have to say about life at DeepL on LinkedIn, Instagram and our Blog.

DeepL is seeking an experienced Data Engineering Manager with a strong background in enterprise B2B and product-focused data needs. In this role, you will lead a growing team responsible for designing, building, and maintaining scalable data products and pipelines. You will partner closely with Product Management, Engineering, and Customer Success to ensure our data systems are optimized for delivering insights and value to our enterprise B2B customers. 

• Lead, mentor, and grow a team of data engineers, fostering a culture of collaboration, innovation, and continuous improvement

• Design and oversee data pipelines, data models, and ETL/ELT processes to ensure efficient, reliable data products that support product development and enterprise customer needs

• Collaborate with cross-functional stakeholders (Product, Sales, Marketing, Customer Success) to define data requirements, identify key metrics, and deliver strategic insights that shape product roadmaps and customer solutions

• Drive best practices in data security, governance, and compliance to meet enterprise B2B standards and ensure access high-quality data products and insights

• Evaluate and recommend tools, technologies, and frameworks to improve data engineering capabilities, focusing on performance, scalability, and cost-effectiveness

• Implement robust monitoring, alerting, and observability solutions, ensuring data pipelines and platforms maintain the highest levels of uptime and reliability

• Partner with Product Managers to translate business objectives into data-driven solutions that inform product enhancements, user experiences, and new feature ideas

• Ensure thorough documentation for data processes, systems architecture, and stakeholder dependencies, promoting transparency and cross-team efficiency 

• Experience in a high-growth technology or SaaS environment, with exposure to distributed systems and microservices architecture

• Familiarity with agile methodologies and tooling (Jira, Confluence) for managing project timelines and deliverables

• Experience working with customer-facing teams to tailor data solutions for enterprise clients

• Proven experience in data engineering, with profound experience in a managerial role

• Demonstrated success in designing and managing large-scale data pipelines and ETL/ELT processes

• Deep understanding of Python and SQL

• Hands-on experience with cloud data warehousing solutions 

• Familiarity with enterprise B2B data requirements, including compliance, governance, and security best practices

• Track record of leveraging data insights to inform product strategies, ideally with experience in product analytics

• Knowledge of machine learning frameworks or AI-based products, as well as MLOps best practices (nice to have)

• Excellent communication and stakeholder management skills, with the ability to concisely report technical information to both technical and non-technical audiences

• Diverse and internationally distributed team: joining our team means becoming part of a large, global community with people of more than 90 nationalities. We're more than just colleagues; we're a group of professionals with a shared mission to connect diverse cultures. Our global presence is growing–we've doubled in size nearly every year, with our employees based in the UK, Germany, the Netherlands, Poland, the US, and Japan, and we continue to expand our network.

• Open communication, regular feedback: as a language-focused company, we value the importance of clear, honest communication. We value smooth collaboration, direct and actionable feedback, and believe that leading with empathy and growth mindset makes us better together.

• Hybrid work, flexible hours: we offer a hybrid work schedule, with team members coming into the office twice a week. This allows you to engage directly with your team and experience the unique energy of our workspace, while still enjoying the flexibility and comfort of working from home. With flexible working hours and trust in your productivity, we are in sync with your team’s general locations and time zones to foster effective and seamless collaboration.

• Monthly full-day hacking sessions: every month, we have Hack Fridays, where you can spend your time diving into a project you're passionate about and get the opportunity to work with other teams–we value your initiatives, impact, and creativity.

• 30 days of annual leave: we value your peace of mind. With 30 days off (excluding public holidays) and access to mental health resources, we make sure you're as strong mentally as you are professionally.

• Competitive benefits: just as our team spans the globe, so does our benefits package. We've crafted it to reflect the diversity of our team and tailored it to align with your unique location, to ensure you feel supported every step of the way.

We are an equal opportunity employer

You are welcome at DeepL for who you are—we appreciate authenticity here. Our product is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all succeed, contribute, and think forward! So bring us your personal experience, your perspectives, and your background. It’s in our diversity that we will find the power to break down language barriers in the world.