Takeaway.com

Security Engineer

• Define the technical 'North Star' for security at JET
• Build secure solutions alongside data teams
• Identify recurring issue patterns and collaborate to fix vulnerabilities
• Design and maintain automated workflows to detect and fix data security risks
• Deploy continuous monitoring and auto-remediation scripts
• Secure LLM and AI pipelines against prompt injection
• Document tools to enable a 'Security-as-Code' mindset

Lead Data Security Engineer

DevOps Engineer

• Planning and developing new engineer-facing products and features
• Building robust and scalable software components and services using Python
• Designing and managing cloud infrastructure and automation for high availability
• Optimizing applications to maximize speed and scalability
• Creating and maintaining technical documentation, including runbooks
• Collaborating with global team members and stakeholders
• Taking a flexible, proactive approach and participating in Agile teams
• Supporting and maintaining high availability within a SaaS environment

Data Scientist

• Own end-to-end ML projects from problem framing through to production deployment, defining approaches, managing trade-offs, and communicating findings to stakeholders
• Produce technical design documents that guide modelling choices, weighing data availability, serving latency, interpretability, and long-term maintainability
• Design and own LLM-based solutions for customer or partner representations, content personalisation, or recommendation, including training data curation and evaluation methodology
• Build evaluation frameworks that link to business metrics, run well-powered online experiments, and investigate offline-to-online performance gaps
• Close the gap between offline model performance and online business impact through rigorous experimentation and measurement
• Act as primary technical reviewer for junior colleagues, providing substantive, teaching-oriented feedback that raises the team's overall standard
• Collaborate with ML Engineers and Data Engineers to ensure models reach meaningful commercial scale across multiple markets
• Shape technical direction across the AI stack, spanning search ranking, homepage personalisation, promotions intelligence, and foundation model applications

Senior Data Scientist

Account Manager

• This role will travel across Germany to work with several national grocery chains.
• You support and advise locally to increase Lieferando’s in-store awareness and promote the partner.
• You collaborate remotely with internal teams and report from partner locations.
• Coordinate with partners on-site and find creative solutions to increase orders and ensure smooth in-store operations.
• You drive store-specific awareness of Lieferando compared to competitors.
• You report to internal sales and marketing teams to ensure alignment and next steps.
• Where needed, you coordinate and work with agencies and internal Lieferando teams in the stores.
• Travel across Germany to predefined locations, subject to prior assessment of needs.

Account Manager – Field Sales

Manager

• Develop and communicate network best practices in collaboration with your partners and internal team.
• Lead employees using a performance management and development process that provides an overall context to encourage employee contribution.
• Develop strong working relationships with a variety of internal stakeholders in a proactive and professional manner, advocating for cross-team collaboration to deliver on growth strategies.
• Lead employees to meet the organization’s expectations for productivity, quality, continuous improvement, and goal accomplishment.
• Analyze insights to monitor the success of partnerships and optimize tactics based on data-driven findings.
• Create data visualization and present findings to our partners.
• Track partnership performance and deliver accurate results to internal stakeholders.
• Build and maintain strong and lasting partnerships with Restaurant partners.
• Communicate job expectations; planning, monitoring, appraising and reviewing job contributions.

Regional Manager

• Be accountable for achieving network KPI & budget targets for the regions responsible for.
• Investigate the root cause of issues & trends to identify, and ultimately implement, opportunities for improvement and optimization.
• Influence stakeholders across the business to achieve desired outcomes, supported by functional SMEs.
• Propose, analyse and lead experiments to improve outcomes and occasionally support logistics projects.
• Use large data sets to draw conclusions.
• Make swift decisions with a bias for taking action.
• Communicate implications to stakeholders, influencing as needed.
• Leverage analytical tools to identify segmented, zone-level network trends and insights.
• Propose and support network experiments in partnership with tech & data science teams.
• Assess experiment outcomes and own/approve changes for assigned regions.

Regional Delivery Manager

Engineering Manager

• Lead, grow and develop a high-performing organisation of Technology Managers, Platform Engineers and Data Engineers
• Own the strategy, delivery and operational excellence of Mobius
• Champion a Platform as a Product mindset
• Partner with Engineering, Product and Domain leaders
• Build strong relationships across Product & Technology
• Define organisational structures, delivery roadmaps and engineering priorities
• Coach, mentor and develop Technology Managers
• Drive continuous improvements in platform reliability, scalability, performance and operational efficiency

Head of Engineering – Data Platforms

Analyst

• Analyze the effectiveness of courier pay & incentives
• Design experiments and evaluate what's working
• Deploy incentive packages and run post-analysis
• Collaborate with scheduling and insights teams to anticipate network needs
• Translate complex data into clear recommendations for market teams and senior leadership

Courier Pay Analyst

Engineer

• Design and implement governance processes for global IAM systems
• Develop and enhance Identity Governance automation using Okta Identity Governance
• Manage project delivery in two-week agile sprints, mentoring engineers
• Resolve 3rd line technical issues and participate in on-call rotation
• Communicate technical updates clearly to stakeholders across Global Technology Platforms
• Ensure audit compliance through process walkthroughs and internal reviews
• Proactively identify and address platform issues before business impact occurs

Senior Identity Management Engineer

Product Analyst

• Design and implement comprehensive measurement plans for our front-end courier experience using tools like Snowplow or Google Analytics 4.
• Partner with engineers to define event schemas and ensure front-end tracking is robust, scalable, and accurately reflects the courier’s real-world journey.
• Perform deep-dive analyses by merging app-tracking data with backend operational data sources (e.g., dispatch logs, routing efficiency, payment systems) to identify friction points.
• Leverage Airflow to orchestrate data pipelines and maintain version-controlled workflows via GitHub, ensuring data reliability and reproducible research.
• Own the end-to-end experimentation such as A/B testing, etc. You’ll design experiments, calculate sample sizes, and perform causal inference to determine what truly moves the needle.
• Explore and implement Agentic AI workflows to automate routine analysis, anomaly detection, or courier feedback categorization, keeping the team focused on high-impact strategy.
• Build and maintain sophisticated, executive-level dashboards in Tableau that track the health of the courier experience and logistics performance.
• Act as the analytical advocate for our couriers, using data to highlight pain points in their daily workflow, ensuring the 'Courier Voice' is a primary driver of the product roadmap.
• Ensure all tracking and data collection methods are strictly compliant with GDPR and local privacy regulations.

Senior Product Analyst – 12 Month FTC

• Mentor and manage a high-performing Data Science team
• Own the data science strategy for real-time courier pay systems
• Drive critical business outcomes by taking ownership of key courier supply metrics
• Diagnose structural and behavioral supply issues
• Design the conceptual framework for real-time incentive engines
• Oversee the development of predictive models
• Act as the senior technical guide to ensure pay models are rigorous
• Partner closely with Machine Learning Engineers
• Lead the design and execution of complex marketplace experiments
• Direct the modeling of courier behavior and build frameworks to maximize ROI

Data Science Team Leader

Data Engineer

• Lead the design and development of gold-tier DBT models and BigQuery resources
• Act as the senior technical authority on the team
• Serve as the primary liaison between local and global engineering teams
• Design, build, and optimize scalable ELT pipelines using Airflow, DBT, and BigQuery
• Establish robust data quality frameworks and observability practices
• Mentor data and analytics engineers