Data Engineer

ABOUT HUGO

Hugo Technologies Inc. (Hugo) is committed to nurturing the best of Africas young talent. We build and manage remote teams across Africa for some of the worlds largest technology and media companies. We specialize in omnichannel customer support digital and AI operations and trust and safety solutions.

Our Why is simple. Outsourcing generates billions in income and opportunities globally but less than 2% reaches African communities. Were changing that. By winning a share of the multi-billion dollar global BPO market for Africa we are investing in a brighter future for the continent.

As a company were obsessed with excellence. We ask smart questions to build a thorough understanding of our clients needs; then pour ourselves into delivering not just great work but also a perfect user experience so that we stand out in what is a very crowded market.

The only commitment greater than the one we have to our clients is the one we have to our community. We are dedicated to carving out a place in the digital economy for young Africans and we work tirelessly to equip them with the skills needed to build meaningful careers.

WHAT YOULL BE DOING

Key Responsibilities:

• Data Pipeline Execution: Build and maintain reliable data pipelines that automate ingestion from both structured and unstructured sources. Leverage Python and SQL to ensure data flows are secure and traceable.

• Transformation Layer: Develop and manage transformation workflows using dbt ensuring data models are modular tested and version-controlled via Git.

• Orchestration & Scheduling: Schedule data workflows using tools such as Airflow Prefect or GCP Workflows ensuring automated and timely data delivery across our systems.

• Cloud Warehouse Support: Maintain the data warehouse environment (BigQuery) focusing on query performance cost monitoring and schema organization.

• Observability & Quality: Implement data validation tests and lineage tracking using frameworks like Elementary to ensure high levels of data integrity and trust.

• Infrastructure as Code (IaC): Assist in managing and deploying cloud resources (BigQuery datasets IAM roles GCS buckets) using Terraform to ensure a reproducible and documented environment.

• Version Control & CI/CD: Maintain the integrity of our codebase using GitHub. Ensure that every dbt change or Python script follows our CI/CD patterns (GitHub Actions) for automated testing and deployment.

• Analytics Support: Collaborate with BI analysts and product teams to provide clean optimized data sets for reporting and internal tools.

• Operational Documentation: Maintain clear documentation (dbt docs/SOPs) for pipelines and models to support team-wide data discovery and self-service BI.

WHAT QUALIFICATIONS YOULL NEED

Competencies:

• Proficiency in SQL and Python for data manipulation and automation.

• Practical experience with dbt for building and maintaining modular data models.

• Familiarity with Git/GitHub workflows and CI/CD principles for managing code.

• Hands-on experience with BigQuery (or similar cloud DWH like Snowflake).

• Practical experience with GCP (preferred) or AWS/Azure. Understanding of IAM permissions and cloud storage.

• Familiarity with Terraform or a strong desire to learn how to manage infrastructure through code rather than manual console clicks.

• Solid understanding of Data Modeling knowledge of star schemas and how to structure data for efficient reporting.

• Ability to troubleshoot broken pipelines and optimize slow-running queries.

• Strong communication skills and a desire to work collaboratively under the guidance of the Lead Data Engineer.

• Proactive about catching data issues and suggesting improvements to existing workflows.

Experiences:

• 2 to 3 years of progressive experience in Data Engineering or Analytics Engineering.

• Prior experience in a scale-up product-led or data-centric organization.

• Familiarity with BI tools is a plus (Tableau PowerBI Looker) though not a core requirement.

• Proven track record of building and managing dbt models in a production environment.

• Experience with API-based ingestion (using Airbyte dlt and/or custom scripts) is a plus.

• Ability to work effectively with people at all levels in an organization.

• Excellent written and oral communication skills with the ability to present to various audiences and distill key messages in order to effectively inform.

• Skills to communicate complex ideas effectively.

WHAT WE PROVIDE

Hugo offers a hybrid work environment that balances employee flexibility with a collegial fun office culture. We pride ourselves on offering a dynamic environment where ambitious professionals can make a measurable impact and accelerate their career. Our compensation and benefits are highly competitive.

PRIVACY STATEMENT

Any information you submit to Hugo as part of your application will be processed in accordance with Hugos Privacy Policy.

EQUAL OPPORTUNITY STATEMENT

Diversity equity and inclusion are part of our DNA. Promoting and where possible improving diversity equity and inclusion are a value-based and commercial necessity. We are an equal opportunity employer and welcome applications from all qualified individuals regardless of race sex gender identity sexual orientation neurodiversity disability or any other legally protected status.