Senior Data Engineer

About CloudFactory

CloudFactory is a mission-driven company combining advanced technology with a global talent network to make data usable and drive real-world impact. We are a global community focused on unlocking human potential, connecting people to meaningful work, and building leaders.

Our Culture

We foster an empowered, valued, and inspired workplace where authenticity thrives. We are Mission-Driven, People-Centric, Innovative, and Globally Connected.

Role Summary: Senior Data Engineer

As a Senior Data Engineer, you will own and evolve CloudFactory’s data platforms, pipelines, and analytical foundations. You will transform complex, multi-source data into reliable, business-ready datasets, partnering closely with product, operations, and leadership teams. Your focus will be on defining metrics, designing scalable data models, and ensuring high standards of data quality and governance to enable data-driven decision-making.

Responsibilities

• Design, build, and maintain scalable data pipelines and analytics architecture across cloud and on-prem environments.
• Develop reliable analytical data models transforming raw data into business-ready datasets.
• Define, implement, and own key business metrics, including semantic layers and supporting data structures.
• Ensure high data quality and reliability by identifying inconsistencies, resolving issues, and improving monitoring and governance.
• Partner with product, operations, finance, and GTM teams to understand analytics needs and deliver insights.
• Manage and optimize data pipeline orchestration, including third-party ingestions and cost/performance improvements.
• Lead end-to-end ownership of major reporting domains, ensuring accuracy and scalability.
• Contribute to data engineering standards, documentation, and best practices.
• Mentor junior team members and support continuous improvement.
• Participate in incident response and on-call rotations.

Required Qualifications

• 3–5+ years of experience in Analytics Engineering or Data Engineering.
• Expert-level SQL, including complex queries and performance optimization.
• Strong Python skills.
• Hands-on experience with dbt for data transformation and modeling.
• Solid understanding of analytical data modeling techniques.
• Experience with both batch and streaming data.
• Experience with Snowflake, ClickHouse, or similar data warehouse technologies.
• Hands-on experience with ETL/ELT tools (Fivetran, Airbyte, PeerDB, etc.).
• Experience integrating data from APIs and multiple sources.
• Experience with data orchestration tools (Prefect preferred).
• Experience with BI and reporting tools (Looker, QuickSight, Grafana, etc.).
• Familiarity with AWS services (S3, ECS/Fargate, SNS/SQS).
• Experience with version control and CI/CD practices (Git/GitHub, GitHub Actions).
• Strong problem-solving skills and attention to detail.
• Ability to work independently and manage multiple priorities.
• Strong communication and collaboration skills.
• Customer-focused mindset.

Nice-to-have

• Familiarity with data governance, lineage, and documentation tools (DataHub, Great Expectations).
• Experience with IaC (Terraform, CloudFormation).

Benefits

• Great Mission and Culture
• Meaningful Work
• Market competitive salary
• Quarterly variable compensation
• Remote and Home working
• Comprehensive medical cover
• Group life insurance
• Personal development and growth opportunities
• Office snacks and lunch
• Periodic team building and social events

Join CloudFactory to be part of a mission that matters, contributing to a global movement where meaningful work transforms lives.