Principal, Data Engineering (Data Ops)
Hut 8 is an energy infrastructure platform that develops and operates power, digital infrastructure, and compute assets. Its platform supports energy-intensive technologies, including AI and Bitcoin mining.
Funding history
About Hut 8
Hut 8 develops, commercializes, and operates an integrated portfolio of power, digital infrastructure, and compute assets. It manages energy assets such as powered land, interconnects, substations, and switchyards; operates purpose-built facilities for energy-intensive applications; and deploys specialized hardware for technologies including AI and Bitcoin mining.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will build and operate the systems that move business and operational data into reliable, secure, analytics-ready data products. This includes API and SFTP ingestion, Airflow orchestration, transformation, warehousing, cloud infrastructure, monitoring, data quality, and production support. This is an individual-contributor role.
Requirements
- 5+ years in data engineering, software engineering, or DataOps
- Bachelor's degree in a related field or equivalent experience
- Strong Python and SQL
- Experience operating production data pipelines
- Experience with Airflow or Google Cloud Composer
- Experience with BigQuery, Google Cloud Storage, and Snowflake
- Familiarity with Git, GitHub, CI/CD
- Linux and Bash familiarity
- Experience integrating REST APIs, SFTP, files, or databases
- Understanding of data quality and monitoring
- Strong communication skills
Responsibilities
- Translate business requirements into reliable, documented data pipelines
- Build and maintain ingestion from APIs, SFTP, files, databases, and cloud services
- Develop and operate Airflow and Google Cloud Composer workflows
- Model and deliver data across BigQuery, Snowflake, Cloud SQL/PostgreSQL, and GCS using dbt
- Support cloud infrastructure including Cloud Run, Artifact Registry, IAM, and Secret Manager
- Design pipelines for idempotency, recoverability, and data quality checks
- Improve observability with logs, dashboards, alerts, and runbooks
- Own production support and root-cause analysis
- Apply least-privilege access and sensitive-data controls
- Work within GitHub PR, testing, CI/CD, and change-management practices