Data Engineering Manager

Summary

Join a fast-growing home improvement platform where teamwork and trust are primary values, and work on scalable data initiatives, high-performing data pipelines, and cross-functional projects.

Requirements

• 5+ years of experience in data engineering, with 2+ years in a leadership role
• Strong experience with Python, SQL, Snowflake, a good understanding of AWS Services (Lambda, Glue, Step Functions, Eventbridge, API Gateway, Sagemaker, EC2, S3, IAM), along with familiarity with DBT for data modeling and pipeline optimization
• Strong knowledge of data infrastructure concepts, software design principles, data governance, security, data modeling principles, and data quality monitoring
• Proven experience with DataOps practices such as orchestration (Prefect/Airflow), CI/CD, containerization (Docker), and monitoring
• Excellent communication skills to convey complex technical topics to technical and non-technical audiences
• Strong analytical skills and business acumen to prioritize and evaluate the impact of data projects on overall business goals
• Business fluency in English

Responsibilities

• Lead Scalable Data Initiatives: Architect and oversee data infrastructure to support advanced analytics, real-time insights, and machine learning, ensuring it's built to scale and adapt to new technologies
• Develop High-Performing Data Pipelines: Create reliable, high-performance data pipelines that integrate diverse data sources, enabling real-time and batch data processing with minimal downtime
• Drive Cross-Functional Projects: Collaborate with teams across Data Science, Engineering, and Product to deliver impactful data-driven solutions that support strategic goals
• Champion Best Practices in Data Engineering & Governance: Establish data engineering standards, focusing on governance, security, and compliance to drive efficient and responsible data use across the organization
• Mentor and Inspire the Team: Guide and support the data engineering team through code reviews, technical mentorship, and fostering a collaborative, high-performing culture
• Optimize ETL/ELT Workflows: Design and maintain ETL/ELT processes that ensure data accuracy, reliability, and ease of access for business use cases
• Shape Strategic Data Planning: Lead planning and prioritization for data engineering initiatives, focusing on ROI and long-term business value to support growth and innovation

Preferred Qualifications

• Experience with Event Driven Architecture and Event Sourcing
• Experience implementing data governance initiatives
• Experience in SaaS, marketplace, or lead generation environments

Benefits

• Enjoy the freedom to work from anywhere without being tied to one place - while ensuring you are available to our team during the agreed working hours
• Achieve a harmonious work-life balance with a flexible schedule tailored to your local needs, along with paid vacation, sick leave, and local holidays
• Empower yourself with work equipment of your choice partially paid for by HomeBuddy and up-to-date apps and tools to maximize your productivity
• Feel valued and appreciated with an industry-leading compensation package
• Get recognized and rewarded for both outstanding individual efforts leading to extraordinary results and our team success
• Enhance your well-being with our allowance program covering fitness activities and mental health programs
• Learn and expand your knowledge by both working on complex tasks and using paid training opportunities, including courses, events, and conferences