Are you an experienced Data Engineer looking to work remotely from anywhere in the world? Hugo Technologies is hiring a Remote Data Engineer to help scale their data systems and drive key insights. This role is ideal for candidates who want flexibility, impact, and a global team experience.
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Job Overview
- Position: Data Engineer
- Company: Hugo Technologies
- Work Type: Remote (Global)
- Job Type: Full-time
Key Responsibilities
- Data Infrastructure & Ingestion: Architect and maintain robust, scalable data pipelines that automate ingestion from both structured and unstructured sources. Leverage Python and SQL to ensure reliable, secure, and traceable data flow across platforms.
- Pipeline Orchestration: Orchestrate and schedule data workflows using tools such as Airflow or Prefect, ensuring reliable, timely, and automated data delivery across systems.
- CI/CD for Data: Set up version control workflows for data transformations and metadata changes, integrating GitOps and CI/CD principles into the analytics engineering lifecycle.
- Transformation Layer Management: Implement and manage transformation workflows using dbt, ensuring data models are modular, version-controlled (via Git), and optimized for maintainability and performance.
- Collaborate with data scientists, product teams, and engineers to improve data accessibility
- Optimize ETL processes for performance and scalability
- Ensure data integrity and compliance
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Required Qualifications
- Proven experience in data engineering, preferably in a startup or agile environment
- 5 to 7 years of progressive experience in Data Engineering.
- Familiarity with Git, Git-based workflows, and CI/CD pipelines for analytics codebases.
- Strong knowledge of SQL, Python, and cloud-based data tools (e.g. AWS, GCP).
- Strong Project Management Skills: Demonstrated ability to lead complex projects, manage timelines, and deliver results.
- People Leader: Proven ability to lead, mentor, and develop associates, fostering knowledge transfer and skill growth within the team.
- Familiarity with orchestration tools like Airflow
- Experience working with modern data warehouses such as BigQuery or Snowflake
Who Should Apply?
- Candidates worldwide looking for a 100% remote role
- Tech-savvy professionals who are self-driven and adaptable
- Applicants from Nigeria and other regions seeking international remote work
Related: How to Boost Your Productivity While Working Remotely
How to Apply
Ready to take the next step in your data career? Submit your application via the official portal:
👉 Apply Here
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