Data Engineer I

Docebo; Bardi; Ibrido; EUR 29.000 - 39.000; Tempo pieno

Vantaggi offerti da questo lavoro

Employee Share Purchase Plan 15%

Health benefits

Paid vacation days

Company Docebo Days

Floating holidays

Birthday off

Meal voucher

Employee Resource Groups

Descrizione del lavoro

Docebo is hiring a Data Engineer I to build robust cloud data pipelines powering analytics, data science, and product teams. You will tackle architecture challenges, collaborate with top engineers, and shape how data-driven learning experiences reach millions of users worldwide.

The role requires 2–3 years in data/BI engineering, strong SQL across cloud platforms, and hands-on ETL/ELT with dbt and Airflow. Hybrid work and generous total rewards support your growth and impact.

Competenze

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical field (or equivalent practical experience).
• 2–3 years of hands-on experience in data engineering or BI engineering.
• Strong SQL skills across cloud platforms like Snowflake, BigQuery, or Databricks.
• Foundational ETL/ELT knowledge with dbt and Airflow under supervision.
• Familiarity with Python and Git-based workflows.

Mansioni

• Engineer high-performance ELT/ETL transformations using dbt per specs.
• Orchestrate data ingestion and transformation jobs with Airflow/Cloud Composer.
• Write tests and validate data quality with row counts and null checks.
• Monitor alerts and optimize system performance.
• Maintain lakehouse schemas across Snowflake, BigQuery, or Databricks.
• Document pipelines, schemas, and caveats for the team.
• Collaborate with Analytics and Data Science teams to meet query needs.

Conoscenze

SQL Mastery

ETL/ELT Aptitude

Python

Code & Version Control Literacy

Formazione

Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical field

Strumenti

dbt

Airflow

Snowflake

BigQuery

Databricks

Descrizione del lavoro

Artificial Intelligence. Actual Impact.At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses.We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive.So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops.

The Adventure Ahead

As our Data Engineer I, you will build and fine-tune the robust cloud data pipelines that power our analytics, data science, and product teams. You’ll tackle real-world architecture challenges, collaborate with world-class engineers, and directly shape how intelligent learning experiences reach millions of users worldwide. We are seeking engineers who bring deep analytical rigor to data modeling and relentless dedication to data quality.

The Day-to-Day

• Engineer the Flow: Implement high-performance ELT/ETL transformations using tools like dbt based on innovative specs from senior engineers and architects.
• Orchestrate Data Jobs: Build, deploy, and maintain seamless data ingestion and transformation jobs powered by Airflow and Cloud Composer.
• Guard Data Quality: Write and execute vital data tests—including row counts, null checks, and reference validations to keep our datasets clean and trusted.
• Monitor & Resolve: Proactively investigate automated alerts, ensuring peak system performance and escalating deeper architectural changes when needed.
• Shape Lakehouse Architecture: Maintain pristine schemas and naming conventions across Snowflake, BigQuery, or Databricks while implementing table and view enhancements.
• Document & Empower: Create clear documentation for pipelines, schemas, and caveats so the entire engineering team can safely build on your foundation.
• Partner & Collaborate: Work closely alongside Analytics and Data Science teams to deeply understand their query needs and deliver optimized data structures.

Your Superpowers

• Solid Academic & Technical Foundation: Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical field (or equivalent practical experience).
• Early Career Momentum: 2-3 years of hands‑on experience in data engineering, BI engineering, or equivalent project‑driven environments.
• SQL Mastery: Exceptional ability to write clean SQL (joins, filters, aggregations) and query across cloud data platforms like Snowflake, BigQuery, or Databricks.
• ETL/ELT Aptitude: Strong foundational understanding of data transformation concepts and comfort navigating tools like dbt and Airflow under guided supervision.
• Code & Version Control Literacy: Familiarity with Python (or similar languages) and Git‑based collaborative workflows to ship clean code efficiently.

Our Hybrid Work Philosophy

Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday‑Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing.

Our Total Rewards Philosophy

• Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success.
• Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well‑being.
• Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul.

Our Promise to You

• Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package.
• Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it.
• Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company‑wide Docebo Days, floating holidays for cultural celebrations, and your birthday off!
• Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025!
• Fuel for Your Day: Receive a meal voucher for every working day, so you can focus on doing your best work while enjoying a meal that keeps you energized.
• Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company‑wide events that keep the fun rolling all year long.

Compensation 29.3K – 39.1K Offers BonusThis range represents our target hiring range for this position in Italy. In addition to base pay: This position is eligible for a discretionary bonus incentive. Payouts are based on individual and company performance and are not guaranteed. The final compensation, including the specific National Collective Bargaining Agreement (CCNL) level, will be determined during the interview process based on the candidate’s background and qualifications.

Location Milan, Italy; Biassono, Italy

Address Milan

Employment Type Full time

Location Type Hybrid

Department Engineering

Data Engineer I • Cisliano, Lombardy, Italy