TL;DR

Data Analyst Engineer (eMobility, SaaS): Building and managing ETL/ELT pipelines and data models to turn large datasets into sharp insights for fraud detection and high-stakes business decisions with an accent on data integration from scattered sources and quality monitoring. Focus on collaborating with product, operations, engineering, and finance teams to ensure data effectively drives business growth.

Location: Hybrid working in Europe, based in Arnhem or Berlin, with quarterly onsite team days in Arnhem, Berlin, or Sweden.

Salary: €70,000–€85,000 per year

Company

Deftpower is a rapidly scaling tech company shaping the future of electric charging with a SaaS platform that uses AI and intelligent software to make charging simpler, smarter, and more sustainable across Europe.

What you will do

  • Build and manage ETL/ELT pipelines.
  • Work with Azure SQL and other Microsoft Azure tools.
  • Combine data from many different internal and external sources.
  • Design scalable, reliable data models.
  • Support fraud detection and other critical use cases.
  • Create dashboards and actionable insights in Power BI.

Requirements

  • Professional experience in a data engineering or data analyst role and able to work independently.
  • Confident in SQL, data modeling, and building pipelines in Azure and Python.
  • Proficiency in creating clear dashboards and reports, especially in Power BI.
  • Structured, detail-oriented work approach.
  • Comfortable explaining data to different teams in plain language.
  • Strong interest in mobility, energy, or EV charging.

Culture & Benefits

  • Flexible hybrid working setup with short decision lines and high trust.
  • €2,000 annual training budget for continuous learning.
  • Choice of laptop up to €1,750.
  • Holiday allowance, vacation days, pension, and long-term benefits in line with local regulations.
  • Quarterly team events (Deftpower Days) in Arnhem, Berlin, or Sweden.
  • Ambitious, open, and energetic team committed to customer satisfaction.

Hiring process

  • Profile review by Team Lead Smart Charging, followed by an introductory call.
  • Short assessment to be presented to part of the team, including COO.
  • Opportunity to meet the wider team.
  • Offer if both sides are enthusiastic.