Smartly Launchpad Data Engineer
@ Smartly

Helsinki, Uusimaa, Finland
€38,400
On Site
Full Time
Posted 23 days ago

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Job Details

About the Smartly Launchpad Data Engineer Role

Launch your career in data engineering with Smartly’s Launchpad Program. This is a six-month, full-time program designed for recent graduates in Computer Science, Data Engineering, Information Systems, or related fields. As a participant, you will gain hands-on experience and work with cutting-edge data technologies.

Your Responsibilities

  • Build and maintain ETL/ELT data pipelines
  • Work with mentors in data engineering, analytics, and product teams
  • Gain experience using SQL, Python, Airflow, BigQuery, dbt, Snowflake, Kafka, Terraform, and Kubernetes
  • Support data-driven decision making across Smartly

What We’re Looking For

Recent graduates or those about to graduate, with hands-on exposure to SQL and Python through internships, coursework, or projects. A learning mindset, software engineering fundamentals, and full-time commitment for a 6-month program are essential.

Program Details

  • Apply by: 30.10.2025
  • Process: Recruiter call, technical task (Python), final interview
  • Start Date: January 2026
  • Duration: 6 months with potential for a permanent role
  • Hybrid work arrangement: Based in Helsinki at least 3 days per week

Key Skills/Competency

  • ETL
  • Python
  • SQL
  • Airflow
  • BigQuery
  • dbt
  • Kafka
  • Kubernetes
  • Terraform
  • Data Pipelines
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How to Get Hired at Smartly

🎯 Tips for Getting Hired

  • Customize your resume: Highlight data engineering and project experience.
  • Showcase technical skills: Emphasize SQL, Python, and ETL experience.
  • Prepare for interviews: Practice technical tasks and problem-solving.
  • Research Smartly culture: Understand their global digital advertising impact.

📝 Interview Preparation Advice

Technical Preparation

Review SQL and Python coding challenges.
Study ETL principles and data pipeline design.
Practice Airflow and dbt configurations.
Familiarize with cloud data platforms like BigQuery.

Behavioral Questions

Explain project challenges and learning experiences.
Discuss teamwork in challenging technical projects.
Describe adapting to new technologies quickly.
Share a time you solved a complex problem.

Frequently Asked Questions