Data Engineer
The Data Engineer will design, develop, and maintain data pipelines and quality systems to enhance RTV's analytics and machine learning capabilities, directly impacting programmatic reach.
As a Data Engineer, you will help build and maintain web-crawling solutions that collect high-quality data from websites. You'll work with modern web technologies, ethical web-scraping practices, and collaborate with teams across Research, Data Science, and Technology.
Requirements
For the Data Engineer level, you will also:
What We're Looking For
For the Data Engineer level, additional experience with Python, SQL, complex crawling solutions, and independent project delivery is preferred.
The role has a monthly gross salary of EUR 2000 - EUR 2666, dependent on experience.
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Benefits
Why work for Euromonitor?
Our Values:
We seek individuals who act with integrity
We look for candidates who are curious about the world
We feel that as a community, weβre stronger together
We seek to enable people to feel empowered
We welcome candidates who bring strength in diversity
International: We have a multinational workforce and communicate daily across our 16 global offices.
Hardworking and Sociable: Our staff balance hard work with enjoyment, offering flexible hours and regular social events, including after-work meetups, summer and Christmas parties.
Committed to Making a Difference: Our Corporate Social Responsibility Programme provides two volunteering days annually; donation amounts for new starters and supports local and international charities through various initiatives.
Excellent Benefits: We offer competitive salaries, private health insurance, and generous holiday allowances, amongst much more!
Opportunities to Grow: We provide extensive training and development, promoting from within and across departments, and rewarding talent.
Equal Employment Opportunity: Euromonitor International does not discriminate based on race, colour, religion, sex, national origin, political affiliation, sexual orientation, gender identity, marital status, disability, genetic information, age, membership in an employee organization, or other non-merit factors.
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