N26

We're looking for an experienced Data Engineer to join the Data Experience Team within Platform Engineering. This role focuses on architecting and operating scalable, secure, and compliant infrastructure solutions that power core database and data storage capabilities.

🎯 Responsibilities

1. Build and maintain platform solutions to enhance reliability, security, and scalability of database platform infrastructure.
2. Apply best practices in cloud infrastructure, networking, and CI/CD to support operational data storage solutions.
3. Collaborate with product and analytics teams to enable seamless orchestration, access, and metadata management.
4. Participate in technical discussions, documentation, and knowledge sharing to foster continuous learning.
5. Contribute high-quality code and infrastructure improvements aligned with the team’s roadmap.
6. Participate in on-call rotations for incident response and troubleshooting to ensure platform stability.
7. Maintain and enhance observability solutions (metrics, logging, tracing) to meet service level objectives and availability targets.

🛠️ Requirements

1. Hands-on experience maintaining cloud-based infrastructure, especially AWS.
2. Practical experience with container technologies (Docker) and orchestration tools (Kubernetes/EKS).
3. Proficient with infrastructure as code (Terraform, CloudFormation, or similar).
4. Competence in at least one programming language (Python preferred).
5. Experience with CI/CD pipelines (e.g., GitHub Actions, ArgoCD, Jenkins).
6. Skilled in modern data transformation tools, especially dbt (Data Build Tool).
7. Expertise in workflow orchestration using Apache Airflow.
8. Familiar with networking and security best practices in cloud environments.
9. Experience with observability tools (DataDog, Prometheus, Grafana, OpenTelemetry).

➕ Nice to have

1. Knowledge of database internals, including performance tuning, high-availability architecture (replication/failover), and sharding/clustering.
2. Experience as a Backend Engineer.
3. Familiarity with metadata platforms (OpenMetadata).

🌟 Desired Traits

1. Strong collaboration and communication skills for cross-team work.
2. Proactive ownership mindset and focus on continuous improvement.
3. Passion for building high-quality, scalable, and secure infrastructure.
4. Eagerness to learn and a drive to contribute to platform product development.

🤗 We offer

1. Opportunities to accelerate your career growth in a dynamic environment.
2. Comprehensive employee benefits, including personal development and work-from-home budgets, discounts on fitness and wellness memberships, language apps, and public transportation.
3. Hybrid work model with dedicated in-office team days and flexibility for remote work.
4. Additional perks such as premium banking subscriptions for you and your family.
5. Additional annual leave day for each year of service.
6. High degree of autonomy and access to cutting-edge technologies.
7. Relocation package with visa support available if required.

We're looking for a motivated Product Manager – AI Products to drive the development of AI solutions, including Machine Learning and Generative AI, that enhance business operations and customer experiences across multiple business functions.

🎯 Responsibilities

1. Collaborate closely with senior product leadership and other Product Managers to ensure alignment with company-wide AI strategies while maintaining ownership of specific workstreams.
2. Focus on delivering business impact in areas such as operational efficiency, fraud detection, and personalized marketing.
3. Lead the end-to-end lifecycle of AI initiatives, from concept to full-scale production deployment.
4. Act as a bridge between Data Science, ML Engineering teams, and business stakeholders to ensure AI models address real user problems.
5. Oversee day-to-day delivery of AI products, balancing the launch of new features with maintaining high security and reliability standards.
6. Develop and share toolkits and best practices to enable other product teams to integrate AI into their own offerings safely and effectively.

🛠️ Requirements

1. 2+ years of experience as a Product Manager in a technology-driven environment, with proven experience shipping AI or Machine Learning-powered products.
2. Strong understanding of AI fundamentals, including the ability to differentiate use cases for Large Language Models versus traditional ML approaches.
3. Comfort working with complex data sets and the ability to define and track KPIs to measure both model performance and business value.
4. Proven experience working in Agile environments and managing multiple stakeholders across departments.
5. Excellent communication skills, capable of translating technical concepts for non-technical audiences.
6. Experience in the financial services industry and awareness of compliance and security requirements is a strong plus.

💡 Key Traits

1. Innovative mindset with a passion for applying the latest AI trends to improve processes and products.
2. Pragmatic approach with a bias for action and the ability to prioritize impactful work.
3. Committed to delivering high-quality, resilient solutions suitable for critical environments.
4. Collaborative, team-oriented attitude with a willingness to both learn from and support others.

🤗 We offer

1. Accelerated career growth within a fast-moving, innovative organization.
2. Personal development budget and work-from-home allowances.
3. Discounts for fitness and wellness memberships, language apps, and public transportation.
4. Premium subscription to a digital banking platform, plus subscriptions for friends and family.
5. Additional annual leave for each year of service.
6. High degree of autonomy and access to cutting-edge technologies.
7. A diverse team with varied nationalities and backgrounds.
8. Relocation package with visa support, if required.