Level

HelloFresh

Engineering Manager, Consumer Alliance

AI in this role

Lead a backend engineering squad focused on data privacy, consent management, and PII discovery at HelloFresh.

kafka
people-managementmicroservicesdata-privacygdpr

About the role: What's in the Box

The Data Privacy team sits within the Order & Subscription Experience Tribe, part of the Consumer Alliance. The team is responsible for the systems and guardrails that let HelloFresh handle customer data responsibly at scale. Consent management, Data subject rights, Data retention and minimization, PII discovery and classification, and privacy-by-design tooling embedded into the Hellofresh flows that touch millions of customers globally.

As Engineering Manager, you'll lead a squad of product/backend engineers building and operating these systems, partner closely with a Product Manager & Stakeholders to translate regulatory and business requirements (GDPR, CCPA, and other regional privacy regulations) into a working roadmap, and stay technically engaged, reviewing architecture and code, joining incident & debugging sessions, without being the primary hands-on contributor.

What you’ll do: The Recipe

  • Manage and grow a squad of data privacy, including hiring, performance management, and career development.
  • Own the quarterly roadmap for data privacy in partnership with your Product Manager, balancing regulatory deadlines, risk reduction, and platform reliability.
  • Drive execution on core privacy capabilities: consent and preference management, automated data subject request (DSAR) handling, data retention/deletion pipelines, and PII discovery/classification across Hellofresh domains & systems.
  • Own operational health of privacy systems. SLAs, data deletion guarantees, audit trail completeness  and run postmortems when things go wrong
  • Partner with Legal, Security, Compliance, and other engineering tribes across the Hellofresh to ensure privacy requirements are embedded early in product and platform design, not bolted on afterward.
  • Represent data privacy engineering in cross-tribe forums, managing stakeholder expectations and pushing back on off-roadmap requests when needed.
  • Champion privacy-by-design practices and clear, accessible documentation across the org.
  • Actively contribute to hiring and capacity planning, conduct regular code reviews, and mentor engineers.
  • Drive a continuous improvement culture and promote the HelloFresh DNA.

What you’ll bring: The Ingredients 

  • Proven people-management experience: hiring, performance management, and developing engineers
  • Experience leading a distributed or multi-location engineering team
  • Deep experience building scalable microservices and event-driven systems (e.g., Kafka), especially where correctness, idempotency, and data consistency are critical.
  • Experience designing and operating high-throughput backend systems that other teams and customer-facing surfaces depend on.
  • Experience with DevOps practices and cloud platforms (e.g., AWS, Azure, Google Cloud), including observability and production ownership.
  • A collaborative mindset and comfort working cross-functionally with product, frontend, and data partners.
  • You are an empathetic, strong communicator and active listener.
  • You are a self-organized individual who can operate autonomously, solve complex problems, and remove roadblocks.
  • You are a humble leader who can motivate a team and drive them to their highest potential.

What we offer: The Toppings

  • Global collaboration at scale: Collaborate with experienced engineers and product partners across HelloFresh's international teams, in a culture of active knowledge sharing.
  • Technology with real-world impact: Build and operate modern systems at global scale, supporting 6+ millions of customers and complex supply chain operations.
  • Technical/Product/Design leadership: Drive best practices and influence architecture/design, quality, and ways of working in an autonomous, product-led setup.
  • End-to-end development/delivery: Drive decisions from problem definition to production, improving systems and enabling long-term scalability.
  • Access to workspace at Warsaw Centre Point. The hub offers modern facilities including showers, breakout zones, outdoor space, cycle parking, and refreshments (coffee, soft drinks, and fruit).

 

 

How we rate this

Engineering Manager, Consumer Alliance at HelloFresh rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

People ManagementMicroservicesData PrivacyGdprKafka

Questions you could be asked

  1. Tell me about a project where people management was part of your work. What did you do?
  2. Tell me about a project where microservices was part of your work. What did you do?
  3. Tell me about a project where data privacy was part of your work. What did you do?
  4. Tell me about a project where gdpr was part of your work. What did you do?
  5. Walk me through how you've used Kafka in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: People Management, Microservices, Data Privacy, Gdpr, and Kafka. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.

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