Data Engineer at Motive delivering data infrastructure for the AI era. Collaborating with stakeholders, building models, and implementing innovative tooling.
About the role
- Senior Data Engineer designing cloud-native data pipelines for modern analytics and reporting. Collaborating with cross-functional teams to support operational workloads in a hybrid-friendly environment.
Responsibilities
- Design, build, and maintain scalable data pipelines and architectures to support analytical and operational workloads.
- Develop and optimize ETL/ELT pipelines, ensuring efficient data extraction, transformation, and loading from various sources.
- Work closely with backend and platform engineers to integrate data pipelines into cloud-native applications.
- Manage and optimize cloud data warehouses, primarily BigQuery, ensuring performance, scalability, and cost efficiency.
- Implement data governance, security, and privacy best practices, ensuring compliance with company policies and regulations.
- Collaborate with analytics teams to define data models and enable self-service reporting and BI capabilities.
- Develop and maintain data documentation, including data dictionaries, lineage tracking, and metadata management.
- Monitor, troubleshoot, and optimize data pipelines, ensuring high availability and reliability.
- Stay up to date with emerging data engineering technologies and best practices, continuously improving our data infrastructure.
Requirements
- 5+ years of experience in data engineering, with expertise in building scalable data pipelines and cloud-native data architectures.
- Strong proficiency in SQL for data modeling, transformation, and performance optimization.
- Expertise in Python for data processing, automation, and pipeline development.
- Experience with cloud data platforms, particularly Google Cloud Platform (GCP).
- Hands-on experience with Google BigQuery, Cloud Storage, and Pub/Sub.
- Strong knowledge of ETL/ELT frameworks such as DBT, Dataflow, or Apache Beam.
- Familiarity with workflow orchestration tools like Dagster, Apache Airflow or Google Cloud Workflows.
- Understanding of data privacy, security, and compliance best practices.
- Strong problem-solving skills, with the ability to debug and optimize complex data workflows.
- Excellent communication and collaboration skills.
Benefits
- Great projects: Broaden your skills on a range of engaging projects with international brands that have a global impact.
- An inclusive and safe environment: We’re truly committed to building a culture where you are celebrated and everyone feels welcome and safe.
- Learning opportunities: We offer generous training budgets, including partner tech certifications, custom learning plans, workshops, mentorship, and peer support.
- Generous vacation policy: Work-life balance is key to our team’s success, so we offer flexible personal time offer (PTO); allowing ample time away from work to promote overall well-being.
- Customizable benefits: Tailor your extended health and dental plan to your needs, priorities, and preferences.
- Flexible work arrangements: We work in a variety of ways, from remote, to in-office, to a blend of both.
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