Software Engineering Manager overseeing Data Platform delivery with a focus on mentoring engineers at U.S. Bank. Responsible for cross - team alignment and technical solution delivery in fintech.
About the role
- Data Engineering Manager at DeepL responsible for enhancing marketing technology stacks and leading a team. Ensure data insights for marketing partners and internal collaboration.
Responsibilities
- Lead, mentor, and grow a team of data and software 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.
- Design and oversee efficient and scalable integrations with our Marketing Technology for systems like ad platforms, marketing automation platforms, CRMs, data enrichment services, or outbound automation tools.
- Collaborate with cross-functional stakeholders (Marketing, Sales, Engineering, Data) to define data requirements, identify key metrics, and deliver strategic insights that shape product roadmaps and customer solutions.
- Drive best practices in data and software 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 our Marketing Technology capabilities, focusing on performance, scalability, and cost-effectiveness.
- Implement robust monitoring, alerting, and observability solutions, ensuring data pipelines and system maintain the highest levels of uptime and reliability.
- Partner with Marketing Managers to translate business objectives into data-driven or software-driven solutions that inform decisions, and uncover opportunities.
- Ensure thorough documentation for data processes, systems architecture, and stakeholder dependencies, promoting transparency and cross-team efficiency.
Requirements
- 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 and software engineering, with profound experience in a managerial role.
- Demonstrated success in designing and managing large-scale data pipelines and ETL/ELT processes.
- Demonstrated success in designing and managing large-scale Marketing Technology integrations.
- Deep understanding of C#, 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.
Benefits
- Diverse and internationally distributed team: joining our team means becoming part of a large, global community with people of more than 90 nationalities.
- Open communication, regular feedback: we value the importance of clear, honest communication.
- Hybrid work, flexible hours: we offer a hybrid work schedule, with team members coming into the office twice a week.
- Regular in-person team events: we bond over vibrant events that are as unique as our team.
- Monthly full-day hacking sessions: every month, we have Hack Fridays for passionate projects.
- 30 days of annual leave: we value your peace of mind with 30 days off.
- Competitive benefits: benefits package tailored to align with your unique location.
Job title
Job type
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Degree requirement
Tech skills
Location requirements
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