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.
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