Staff Fullstack Data Engineer (Databricks/Azure)

Location: Rotterdam, Netherlands. Hybrid working: 40% office, 40% home, and 20% flexible; with manager approval, work abroad within approved countries for up to 3 weeks per year, with a maximum of 2 consecutive weeks.

Gross annual salary: €95,000–€153,000, including FlexBudget and 8% holiday allowance; a bonus or collective profit sharing may apply depending on the role.

Company

hirify.global is accelerating the energy transition through its One Planet strategy and is building technology for a climate-neutral energy system.

What you will do

• Lead complex, cross-domain data engineering and architecture initiatives across energy trading, forecasting, and long-term energy planning.
• Design, build, modernize, and operate data and ML platforms, pipelines, integrations, and user-facing product connections.
• Stabilize critical data systems, improve data quality and lineage, and modernize legacy workflows and metadata management.
• Build, deploy, and run AI agents and reusable workflows that automate and accelerate engineering work.
• Drive common patterns for ingestion, modeling, streaming and batch processing, feature engineering, experimentation, testing, and serving.
• Mentor engineers, advise Engineering Managers, lead design reviews, and align technical decisions across engineering and product teams.

Requirements

• 8+ years of experience in data engineering or software engineering, including at least 3 years in a senior or staff role driving multi-team technical decisions.
• Deep hands-on expertise with Databricks, Delta Lake/Unity Catalog, Airflow, Snowflake, dbt, and Azure cloud services.
• Experience designing, operating, and stabilizing mission-critical distributed data systems, including end-to-end pipelines, event-driven architectures, and platform integrations.
• Strong knowledge of data architecture, data modeling, streaming, data lineage, data quality frameworks, and metadata management.
• Knowledge of ML engineering, including feature engineering, model lifecycle management, experimentation, performance monitoring, and MLOps.
• Knowledge of software engineering and DevOps fundamentals, including CI/CD, infrastructure as code, observability, containerization, API design, and operational excellence.
• Hands-on experience building, deploying, and running AI agents, with the ability to scale their use through reusable workflows, AI-ready data models, and integration patterns.
• Experience with time-series analytics environments, including databases, analytics, processing, and modeling.
• Ability to align engineering and product teams in ambiguous or high-impact problem spaces and communicate technical topics to engineering and business stakeholders.

Nice to have

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

Culture & Benefits

• Hybrid work across home, office, and flexible locations, with limited approved work abroad.
• FlexBudget can be paid out, used for additional holiday days, or saved.
• 8% holiday allowance and a possible bonus or collective profit sharing.
• Personal and professional development support.

Hiring process

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