Marketing Data Engineer all genders

OUTFITTERY is the biggest personal shopping service in Europe. Were for those who want a little more substance from style more guidance and expertise less rules and less routine. Because we believe that style is an unfolding story. We aim to inspire and empower not dictate what to wear. We understand that style is a journey and were here to guide the way. Every customer gets a personal selection of clothes which our stylists create out of more than 100 brands always considering their wishes and budget. Our customers only pay for what they keep. Our mission is to empower anyone to unlock their true style.

Would you like to take over responsibilities and gain strong insights into an ECommerce company all of this in a diverse and international team You could be part of it as a Marketing Data Engineer (all genders)!

Your Tasks

• Develope maintain and optimize integrations with leading ad platforms
• Shape the future of our datadriven marketing stack including campaign automations API endpoint implementations data pipelines and data quality processes.
• Implement and manage Google Tag Manager (GTM) and GA4 setups for Outfitterys website and marketing campaigns tracking user behavior campaign performance and ensuring data security.
• Bridge the gap between marketing and data platforms translating technical concepts to marketing teams and vice versa.
• Collaborate effectively with marketing analytics campaign management data science and data engineering teams to support datadriven decision making A/B testing and marketing attribution.
• Communicate complex marketing data insights in a clear and concise manner to stakeholders across different departments.

Your Profile

• 3 years experience: of developing maintaining and optimizing integrations with leading ad platforms (Meta Google Ads TikTok Ads). Building and managing data pipelines for marketing data ingestion and transformation.
• Proficiency in SQL modern data processing tools (APIs data pipelines) indepth knowledge of GTM and GA4 for website and campaign tracking.
• Exceptional communication skills translating technical concepts for nontechnical audiences and vice versa.
• Working knowledge of performance marketing channels their tracking capabilities and limitations. Ability to identify and troubleshoot issues within the marketing data stack.
• Strong analytical mind with a passion for using data to inform strategic decisions A/B testing and marketing attribution.
• Genuine interest in the fashion industry and a desire to contribute to Outfitterys growth.

We offer:

• Flexible Working Flexible working hours in the home office or in the office you decide! As a remote company we leave it up to you where you want to work from. Of course we will provide you with the necessary equipment to get you started.

• Workation Wouldnt it be nice to enjoy the view of the sea snowcovered mountains or a lively city while working No problem for us! Combine travelling with your work and spend up to 6 months a year abroad.

• Mental Health Our friends at Likeminded offer individual psychological counseling to all of our employees. Challenges at work conflicts in your team personal problems at home or you just feel overwhelmed by a situation Likemindeds team of psychologists is here for us every day!

• Team Events Since many of our colleagues work remotely our teams dont often meet in person to just have fun and get to know each other better. Thats why we try to organize regular and fun team events. On or offline always depends on the current situation.

• Employee Discounts All employees receive a 40% discount on all OUTFITTERY products. Family and friends also benefit with a 20% discount. In addition we propose other discounted offers through our cooperation with the Corporate Benefits Platform. Happy Shopping!

• Lunch Vouchers No good day at work without a good lunch break! With our service from HRmony you receive up to 50 monthly on top of your salary for your welldeserved lunch break as a taxfree benefit. Enjoy your lunch!

Intrigued Then send us your application in English with your salary expectations and possible starting date. Your contact person is Pascal.