Senior Data Engineer

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🕒 June 8

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Sayari

WebsiteLinkedInAll Job Openings

1 - 10 employees

🔬 Science

🤝 B2B

Science • B2B

Sayari is a French environmental consultancy and research bureau that helps organizations operationalize the latest scientific advances for sustainable decision-making. The firm develops environmental data, conducts life-cycle assessments, and builds strategies for product environmental impact, biodiversity, and water resilience. Sayari serves public actors, large companies, SMEs and startups by delivering bespoke studies, tools and trainings to anticipate regulation, improve performance, and enhance attractiveness to investors and stakeholders. Headquartered in Saint-Germain-en-Laye, France, Sayari participates in national initiatives such as AGRIBALYSE and environmental footprint committees.

📋 Description

• Design, build, and maintain scalable data pipelines using Python, Spark, and Airflow to support our core data acquisition and entity resolution engines. • Collaborate cross-functionally with AI/ML and Product teams to implement new features and AI-native products. • Proactively identify and resolve bottlenecks in our complex ETL processes, bringing a fresh perspective to refine and optimize our existing codebase. • Contribute to a robust engineering culture through rigorous code reviews, unit testing, and clear communication of design decisions. • Own the end-to-end delivery of roadmap tasks within two-week sprints, ensuring work meets high standards for quality, documentation, and performance. • Participate in roadmap planning and story refinement, eventually taking ownership of major epics that drive our long-term product defensibility.

🎯 Requirements

• 5 or more years of production data engineering experience, with clear ownership of systems you built and operated end to end • Strong Python, with meaningful experience in a JVM language (Scala preferred) or willingness to ramp quickly • Hands-on Snowflake experience, or equivalent depth in BigQuery or Redshift with demonstrated ability to transfer • Experience deploying and operating AI or ML applications in production, including output validation, monitoring, and cost management at scale • Orchestration experience with Apache Airflow or a comparable workflow tool • Track record of operating production systems reliably, with comfort navigating failure, monitoring, and recovery • Preferred: Experience with Spark on Dataproc Serverless or other serverless Spark environments • Familiarity with Kubernetes for deployment • Experience with data quality tooling such as deequ, Great Expectations, or equivalent • GCP experience (BigQuery, Dataproc, Cloud Storage) • Experience leading or contributing to a data warehouse migration • Background in team mergers or migrating a team onto a new operating process

🏖️ Benefits

• 100% fully paid medical, vision, and dental for employees and their dependents • Generous time off; we observe all US federal holidays, close our office for a winter break (12/24-12/31), in addition to granting 18 PTO days and 10 sick days • Outstanding compensation package; competitive commissions for revenue roles and bonuses for non-revenue positions • A strong commitment to diversity, equity, and inclusion • Eligibility to participate in additional benefits such as 401k match up to 5%, 100% paid life insurance (up to $100,000 coverage),, and parental leave • A collaborative and positive culture - your team will be as smart and driven as you • Limitless growth and learning opportunities