Principal Fullstack Data Engineer (AI)

TL;DR

Principal Fullstack Data Engineer (AI): Leading the design, building, and optimization of mission-critical data and ML platforms for hirify.global’s energy balancing chain with an accent on modernizing high-stakes, time-series-driven data systems, ensuring reliability, governance, and performance. Focus on unblocking complex, cross-team systems, setting technical standards across data, ML, and platform engineering, and re-architecting critical data infrastructure for the energy transition.

Location: Hybrid in Rotterdam, Netherlands, with a policy allowing 40% office, 40% home, and 20% flexible work. Occasional work abroad (up to 3 weeks/year) is permitted with manager approval.

Salary: €93.000–€150.000 Gross annual salary

Company

hirify.global is an energy company dedicated to accelerating the energy transition, aiming to become climate neutral by 2035 by focusing on smarter, cleaner, and more resilient energy systems.

What you will do

• Drive large-scale system and architecture initiatives for energy planning and trading, including data flows and integrations.
• Lead and unblock complex engineering efforts such as redesigning data lineage and fixing systemic data quality issues across teams.
• Shape and review technical designs to ensure robustness, scalability, and alignment with enterprise architecture.
• Lead the design and implementation of data and ML platforms using Databricks, Delta/Unity Catalog, Airflow, dbt, Snowflake, and Azure.
• Modernize and refactor legacy data and ML workflows to enhance reliability, transparency, and maintainability.
• Promote common patterns for data ingestion, modeling, processing, and ML model development across teams.

Requirements

• 8+ years of experience in data engineering or software engineering, with at least 3 years in a senior, staff, or principal role driving multi-team technical decisions.
• Deep hands-on expertise with Databricks, Delta Lake/Unity Catalog, Airflow, Snowflake, dbt, and Azure cloud services.
• Demonstrable experience designing, operating, and stabilizing mission-critical, distributed data systems.
• Strong understanding of data architecture, data modeling, streaming, data lineage, and data quality frameworks.
• Solid knowledge across ML engineering, including feature engineering, model lifecycle management, and MLOps.
• Good knowledge of software engineering and DevOps fundamentals, including CI/CD, infrastructure as code, and API design.

Nice to have

• Experience in energy markets, commodity trading, or near-real-time operational systems.
• Experience with forecasting platforms and integrating data & ML systems into production.
• Familiarity with high-frequency or low-latency data processing patterns.

Culture & Benefits

• Competitive gross annual salary between €93.000 and €150.000, including FlexBudget and 8% holiday allowance.
• Opportunities for personal and professional growth and development.
• Flexible work environment: 40% office, 40% home, and 20% flexible.
• Ability to work abroad for up to 3 weeks per year (max 2 consecutively) with manager approval.
• Direct impact on the energy transition by working on sustainable energy systems.

Hiring process

• Contact the recruiter at venetia.dewit@hirify.global.com.