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About the Role
We are a high-velocity DTC brand seeking a technical powerhouse to build the orchestration layer that translates our data science, scoring models, and customer signaling deviations into automated, multi-channel journeys. This is a 100% hands-on role at the intersection of Data Engineering, MarTech Architecture, and Automation.
Responsibilities
- Act as the core bridge between data science and marketing, wiring custom models into real-time lifecycle journeys across Email, App/Push, Direct Mail, and Paid Channels.
- Build custom automated pipelines using n8n and advanced LLMs (Claude, Gemini) to eliminate manual campaign ops, automate trigger handling, and scale execution.
- Own the data pipes flowing into and out of our MarTech stack, mapping custom attributes, managing event-tracking, and ensuring flawless data ingestion.
- Write advanced SQL/Python scripts to clean fragmented data sources, build automated reporting structures, and analyze data to proactively spot lifecycle opportunities.
- Partner with commercial teams to design automated testing roadmaps, owning the technical setup, execution, and statistical validation of all CRM experiments.
Requirements
- 3-5 years of hands-on experience at the intersection of Data Automation, MarTech Architecture, or Analytics Engineering (ideally in E-Com/DTC).
- Strong SQL and Python coding skills specifically for data pipeline engineering, API integrations, and workflow automation.
- Proven experience building API integrations and middleware workflows (via n8n, Make, or custom scripts) utilizing Generative AI models.
- Highly autonomous and execution-focused mindset, thriving when building systems from scratch.
- Fluent in English.
- Hands-on experience with Bloomreach (or equivalent enterprise CDPs like Braze/Segment).
- Solid foundation in statistics for A/B test validation and data visualization (Tableau/Looker).
- Practical experience handling technical consent management and data compliance frameworks.
- German or French language skills are a plus.
Skills
- Data Engineering
- MarTech Architecture
- Automation
- SQL
- Python
- API Integrations
- Workflow Automation
- n8n
- LLMs
- Claude
- Gemini
- Bloomreach
- CDP
- Braze
- Segment
- Statistics
- A/B testing
- Data Visualization
- Tableau
- Looker
- Consent Management
- Data Compliance
Location
- Hybrid
Work Type
- Hybrid
- Full-time
Experience Level
- 3-5 years
Benefits
- Appealing discount on all products
- 28 days of paid time off per year
- Up to 5 days off between Christmas and New Year
- Urban Sports Club membership
- Swapfiets bike rental or subsidy for Deutschlandticket
- Various discounts of up to more than 50 percent on brands like Flaconi, Bosch, Apple or Expedia
- Real ownership and room for new initiatives
- Opportunity to contribute expertise and implement ideas
- Inviting office spaces with access to organic teas and superfoods
About the Company
- Sunday Natural emerged from a long-standing passion and research in the fields of health, healing, and personal growth.
- Founded in 2013 with the goal to produce natural, pure, additive-free products of the highest quality.
- In strategic partnership with CVC, Sunday Natural is one of Germany's most renowned quality manufacturers with its own R&D department in Berlin.
- Collaborates with research institutes, scientists, therapists, farmers, and professional associations for product improvement.
- Takes ecological responsibility seriously, with the majority of the product range being vegan.
- Uses glass packaging for most products, making them almost entirely recyclable.
- Has a diverse team in Berlin of over 350 employees from more than 45 nationalities.
- Aims to foster a collaborative, supportive, and inclusive work environment.
Equal Opportunity
- We highly value equality of opportunity and inclusivity.
- We would like to particularly encourage women and candidates from under-represented backgrounds to apply, even if you don’t match with 100% of the requirements.