Data Analytics Engineer
Data Analytics Engineer.
Data Analytics Engineer
Amsterdam
|€80000.00 - €130000.00 per annum
|Permanent
|Data Analytics
Apply Now
Are you a visionary that enjoys rolling up their sleeves and getting things done? Are you a Senior Data Analyst that has an affinity for data engineering? Do you have experience with GCP and Looker?
Our client, one of the fastest growing scaleups in electric driving is looking for a Senior Data Analytics Engineer to help them build and shape their Data department and create methodologies for bringing data informed insights that drive financially sound business decisions. In this position you need to be hands-on and autonomous, approaching work with an agile DevOps mindset.
What are the expectations:
- 5+ years of experience in Data Analytics, Engineering and Data Mesh
- Expert in GCP and Google Analytics
- Data Warehousing, pipelines, ETL processes and testing
- Python and Go languages
- Build analytics models, dashboarding, forecasting
- Worked with Looker or Qlik, Tableau, PowerBI
- Excellent communication in English
The benefits are on par with your responsibilities:
- Based on seniority, annual salary can reach up to 130k incl. holiday allowance.
- Unlimited holidays.
- Excellent pension scheme.
- Travel allowance, lunch and drinks at the office
- Outstanding growth and development opportunities
- A young, dynamic and ambitious team to bounce ideas off each other
Do you think you have what it takes, or do you know someone who fits this profile?
Reach out to me at Andreea.Albu@darwinrecruitment.com or call me at 020 305 8540
Darwin Recruitment is acting as an Employment Agency in relation to this vacancy.

Apply Now
Andreea AlbuSUBMIT YOUR CV
SIMILAR JOBS IN Data Analytics.

MARKET INSIGHTS.
USE OUR ONLINE PLATFORM TO ACCESS ALL THE INSIGHTS THAT YOU NEED...
• Salaries; split by technology and seniority level.
• Time to hire; how long it takes to secure and start a new role, or source and hire talent.
• The average tenure of professionals per tech specialism.
• Gender split per location and tech specialism.
• Fastest growing skills per tech specialism.