Data Engineer
Data Engineer
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Job Description
ABOUT HUGO
WHAT YOULL BE DOING
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.
- 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.
- Pipeline Orchestration: Orchestrate and schedule data workflows using tools such as Airflow or Prefect ensuring reliable timely and automated data delivery across systems.
- Cloud Warehouse Architecture: Design and oversee the data warehouse environment in platforms such as BigQuery or Snowflake with a focus on security cost optimization and high performance.
- Performance Optimization: Continuously monitor query performance and data pipeline throughput identifying and resolving bottlenecks or inefficiencies in real-time.
- Quality & Governance: Enforce best practices for data validation lineage tracking testing frameworks and schema evolution to maintain high levels of data integrity and trust.
- 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.
- Cross-functional Partnership: Collaborate deeply with analysts business users and product teams to understand evolving data needs and proactively adjust architecture and pipelines.
- Strategic Foundation for Growth: Lay the groundwork for a modern data platform that is scalable cost-efficient and primed for future team expansion. This role is expected to evolve into a leadership position as the team grows.
WHAT QUALIFICATIONS YOULL NEED
- Deep expertise in SQL and Python for data engineering and analytics tasks.
- Advanced experience with dbt for modular data modeling and transformation.
- Familiarity with Git Git-based workflows and CI/CD pipelines for analytics codebases.
- Proven hands-on experience with cloud data warehouses (BigQuery Snowflake strongly preferred).
- Hands-on experience with orchestration tools such as Airflow or Prefect for managing complex data workflows.
- Strong understanding of data warehousing concepts star/snowflake schemas and performance tuning.
- Knowledge of data security access control and cost monitoring within a cloud DWH environment.
- 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.
- Communication: Excellent verbal and written communication skills with the ability to articulate ideas and influence stakeholders across diverse functions.
- Drive to Action: Demonstrated ability to translate fuzzy problems into structured outputs using data and qualitative inputs to drive decisions.
- Working Style: Strong ownership mindset proactive and self-directed; operates well in environments that require initiative and continuous iteration.
Experiences:
- 5 to 7 years of progressive experience in Data 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.
- A proven track record of implementing end-to-end data infrastructure projects that are still in production.
- Proven record of high performance and substantial achievements in your past positions.
- Demonstrated leadership ability in a team environment.
- Initiative taker eager to break new grounds create opportunities for others.
- Willingness to take personal risks - as seen through leadership roles - in work environment and extracurricular activities.
- 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 and persuade.
- 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 identify sexual orientation neurodiversity disability or any other legally protected status
Employment Type
Full Time
