SHOP APOTHEKE EUROPE

Account Manager

• Lead and further develop an Account Management team with a focus on performance, customer orientation and continuous improvement
• Develop and implement the account management strategy to increase customer retention, account growth and long-term partner success
• Take overall responsibility for the performance of the account management portfolio and for achieving key KPIs such as revenue growth, customer retention and customer satisfaction
• Support and develop team members through regular feedback, performance management and individual development plans
• Build, optimize and standardize processes, playbooks and best practices to make account management efficient and scalable
• Work closely with Sales, Onboarding, Retail Media, Operations and Country Heads to ensure excellent partner support
• Manage the entire customer lifecycle with the goal of identifying growth opportunities, reducing churn and maximizing long-term value for our partners
• Analyze market and competitor developments to identify optimization opportunities and promote sustainable growth

Team Lead Key Account Manager – Marketplace

Financial Planning and Analysis

• Design and develop scalable Microsoft Dynamics 365 Finance solutions that support our core finance processes, including General Ledger, Accounts Payable, Accounts Receivable, Fixed Assets and Cash & Bank Management.
• Build custom integrations, services, Data Entities, workflows and business events, enabling seamless connectivity across our enterprise systems and supporting business growth.
• Drive continuous improvement by developing high-quality reports, Electronic Reporting (ER) solutions and automated financial processes while optimising system performance.
• Champion engineering excellence through code reviews, mentoring, CI/CD, release management and the application of Microsoft development best practices.
• Partner with Functional Consultants, Solution Architects, Business Analysts, QA Engineers and business stakeholders throughout the full software development lifecycle, from solution design through to production deployment.

Senior ERP Engineer – Microsoft Dynamics 365 Finance

Student

• Support the IT Transformation department in planning, executing, and monitoring IT transformation projects, ensuring alignment with project objectives and timelines.
• Coordinate project activities, resources, and information to facilitate smooth operations and communication among team members.
• Maintain comprehensive project documentation, including project plans, status reports, meeting minutes, and risk registers.
• Track project progress and performance, providing regular updates and reports to Transformation Managers and other relevant stakeholders.

Working Student – IT Transformation

Recruitment

• Own end-to-end recruitment for Tech roles, including Engineering, Product, Data & AI, and IT Services, across multiple European locations.
• Build and nurture strong talent pipelines through active sourcing (e.g. LinkedIn) and innovative sourcing strategies
• Act as a trusted sparring partner to hiring managers , providing guidance, running interview trainings , and ensuring an excellent candidate experience
• Use data-driven recruiting approaches to continuously improve hiring strategies and actively shape processes, ways of working and recruiting culture
• Explore and apply AI-driven recruiting tools and approaches , proactively testing new solutions , optimizing workflows, and making recommendations to elevate the team’s capabilities
• Contribute to strategic recruiting initiatives , participate in key business meetings , and bring your expertise into broader organizational discussions

Senior Recruiter – Tech, 1 Year Contract

DevOps Engineer

• Build and maintain secure CI/CD pipelines (Azure DevOps or GitHub Actions): secrets hygiene, signed artifacts/SBOMs, SAST/DAST/container scanning, least-privilege service connections, and supply-chain hardening.
• Automate security in infrastructure with Terraform: enforce guardrails using policy-as-code (Azure Policy, OPA/Conftest) and continuous IaC scanning (Checkov/tfsec).
• Harden Kubernetes : implement RBAC, NetworkPolicies, Pod Security Standards, secret management, image signing/scanning, and admission policies (Gatekeeper/Kyverno).
• Protect cloud identities & data : manage Entra ID roles/Managed Identities, Key Vault, Private Link/NSGs, encryption at rest/in transit, and just-in-time/least-privilege access.
• Secure ML/MLOps : lock down Databricks (Unity Catalog permissions, secret scopes), MLflow/model registry, feature stores; add model artifact signing, provenance, and runtime isolation for training/serving.
• Monitoring, logging & response : wire platform and security telemetry to Microsoft Sentinel/Defender, define alerts/runbooks, and support incident response and tabletop exercises.
• CVE & vulnerability management : maintain and publish SBOMs; continuously scan for vulnerabilities; triage CVEs (e.g., CVSS scoring + exploitability context), coordinate mitigations/patches, track exposure windows and SLAs, verify remediation, and report metrics to SecOps/GRC.
• Concepts & architecture : draft and maintain reference architectures, trust-boundary diagrams, data-classification schemes, environment isolation patterns, secure secret/key management patterns, and network segmentation for AI services.
• Compliance & assurance : contribute to risk assessments and threat modeling (incl. AI-specific risks: prompt injection, data exfiltration, model theft), support DPIAs, vendor/third-party risk reviews, penetration tests, control testing, evidence collection, and audit readiness for ISO 27001 , GDPR , and EU AI Act/NIS2 where applicable.
• Governance : maintain security baselines and exceptions, own platform security KPIs, ensure retention policies, access reviews, and end-to-end audit trails (code → data → model → deployment).

Senior DevSecOps Engineer

Manager

• Plan, implement, and own Google Shopping & Search and Bing campaigns end-to-end. From strategy and structure to day-to-day optimisation.
• Strategically develop and scale the paid search advertising channel, shaping its long-term direction.
• Take full responsibility for significant advertising budgets, spending them as if they were your own.
• Optimise the search & shopping campaign portfolio end-to-end: structure, bidding, audiences, feeds, and copy.
• Analyse performance data, surface insights, and translate them into concrete optimisation actions.
• Own the annual budget plan and KPI framework; present results and strategy to senior stakeholders.
• Lead A/B and multivariate testing initiatives and turn learnings into lasting improvements.
• Collaborate closely with Analytics, Data, Pricing, and Country Management teams to ensure campaign relevance and measurement accuracy.
• AI & Automation: We actively encourage using AI tools, scripts, and automation to multiply your impact. If you've built smart workflows or experimented with LLMs in a marketing context - bring those ideas. We want to hear them!

Senior SEA Manager

• Take full ownership of our Google Shopping & Search and Bing campaigns — from strategy to execution.
• Design and optimize campaigns, monitor KPIs, and identify hidden efficiency levers.

Product Manager

• Own and evolve the end-to-end search experience – from query input and autocomplete to results pages, filters, and zero-results states across all platforms
• Shape search relevance and ranking strategies, working closely with data science and ML teams to continuously improve how results are understood and delivered
• Drive discovery and navigation, enabling customers to move seamlessly between browsing and searching, especially in complex health-related journeys
• Define and refine the measurement framework for search, including advanced metrics like query reformulation rate, zero-results rate, and time to first relevant result
• Build and prioritise a high-impact roadmap, balancing quick wins with long-term investments in search infrastructure, UX quality, and experimentation

Senior/Product Manager – Search Experience

QA Engineer

• Lead, develop and enable an interdisciplinary QA team.
• Own the strategic direction and continuous development of Quality Assurance in the ePrescription (eRx) & Telematics Infrastructure (TI) environment.
• Define and implement comprehensive test strategies, including an end-to-end approach across complex system landscapes.
• Manage and advance test automation for our end-to-end ePrescription journeys.
• Analyze quality metrics and derive and implement sustainable improvement measures.
• Provide QA guidance and consulting for the design of new products, features and architectures.

Senior Manager Quality Assurance

• Own and evolve the end-to-end search experience – from query input and autocomplete to results pages, filters, and zero-results states across all platforms
• Shape search relevance and ranking strategies , working closely with data science and ML teams to continuously improve how results are understood and delivered
• Drive discovery and navigation , enabling customers to move seamlessly between browsing and searching, especially in complex health-related journeys
• Define and refine the measurement framework for search , including advanced metrics like query reformulation rate, zero-results rate, and time to first relevant result
• Build and prioritise a high-impact roadmap , balancing quick wins with long-term investments in search infrastructure, UX quality, and experimentation

Senior Product Manager – Search Experience

Senior/Principal Product Manager – Search Experience

Machine Learning Engineer

• Work with colleagues from our Data & AI department and collaborate closely with product managers, engineers, and commercial stakeholders.
• Design, build, and operate machine learning systems for retail media use cases such as sponsored product ranking, audience segmentation, campaign optimization, attribution, and performance measurement.
• Translate business and product requirements into scalable ML solutions, balancing model quality, latency, reliability, scalability, and maintainability.
• Develop robust ML pipelines for feature engineering, training, evaluation, deployment, monitoring, and continuous model improvement.
• Bring models into production using our cloud-based stack and ensure they are reliable, observable, and maintainable over time.
• Communicate technical decisions, assumptions, limitations, and uncertainty clearly to product, engineering, and business stakeholders.
• Contribute to ML engineering standards, best practices, and knowledge sharing within the team.

Team Lead Key Account Manager – Marketplace

Senior ERP Engineer – Microsoft Dynamics 365 Finance

Working Student – IT Transformation

Senior Recruiter – Tech, 1 Year Contract

Senior DevSecOps Engineer

Senior SEA Manager

Senior SEA Manager

Senior/Product Manager – Search Experience

Senior Manager Quality Assurance

Senior Product Manager – Search Experience

Senior/Principal Product Manager – Search Experience

Senior ML Engineer