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At FREE NOW we are at an exciting point in our history - we are building a world-class product that is being used daily by more than a million people. We are a part of one of the most dynamic spaces for innovation in today's world: shaping mobility. Our daily business is solving large-scale, complex problems – and we love it!We are keen on hiring a&nbsp;Senior Machine Learning Engineer&nbsp;(m/f/d) to productionise machine-learning models, implement services, and help grow our data science infrastructure. By being part of the Marketplace department, you will work closely with our Product Managers, Data Analysts, Data Scientists, Software Engineers and other Machine Learning Engineers to enable our business to make even smarter and more efficient pricing decisions.With us, you will stretch, learn and grow in a creative, diverse, and collaborative environment that encompasses more than 70 nationalities and 11 markets across Europe. Don’t join FREE NOW because of our perks or great office locations, join us if you can’t wait to disrupt the mobility industry with us!YOUR DAILY ADVENTURES WILL INCLUDE:<ul><li>Designing and developing high-performance, data-driven systems in a distributed infrastructure to determine the best pricing offers to our passengers and drivers and achieve a balanced marketplace.</li><li>Working with large, interesting data sets including historical, real-time and third-party data streams.</li><li>Exposing machine learning models and data pipelines via resilient and performant APIs.</li><li>Implementing and optimising solutions to some of our most business critical problems as part of a cross functional team consisting of Data and Software Engineering professionals.</li><li>Enhancing the Data Science Software infrastructure in close collaboration with a diverse group of Data experts.</li><li>Maintaining, improving and monitoring mature CI/CD pipelines in our testing and production environments.</li><li>Championing best practices across the organisation and fostering an environment of growth and technical excellence</li></ul>Our Tech Stack: SQL| Python | Airflow | Java | Kubernetes | Kafka Streams| AWS &amp;<a target="_blank" rel="noopener noreferrer nofollow" href="https://stackshare.io/free-now">&nbsp;more</a>TO BE SUCCESSFUL IN THIS ROLE:<ul><li>You are experienced training, deploying, serving and monitoring Statistical/Machine Learning models on large-scale datasets in production.</li><li>You have experience with streaming technologies and real-time data processing</li><li>You excel as an effective communicator, a team player, and an avid learner, with a proven capacity to collaborate seamlessly with diverse teams, including those in data, tech, and product, as well as other stakeholders.</li><li>Experience with data manipulation and machine learning libraries</li><li>You have experience developing and maintaining microservices in a production environment</li><li>You can communicate in English. We are a very diverse team with people from all over the world and English is our language of communication, besides Python.</li><li>You are passionate about harnessing data science and have the will to play an essential role in the future of urban transportation.</li></ul>BENEFITS &amp; PERKS IN A NUTSHELL:<ul><li>Flexible working arrangements</li></ul><ul><li>LinkedIn Learning</li></ul><ul><li>Sabbatical &amp; special leave policies</li></ul><ul><li>WeRoad partnership</li></ul><ul><li>Birthday, 24th + 31st December off</li></ul><ul><li>Short term EU work policy</li></ul><ul><li>Mobility Credit</li></ul><ul><li>Health Insurance</li></ul><ul><li>Employee assistance program</li></ul>&nbsp;Plus more local benefits depending on your work location!&nbsp;DIVERSITY, EQUITY &amp; INCLUSION:FREE NOW is an equal opportunity employer and we consider qualified applicants regardless of race, religion, national origin, gender, gender identity, sexual orientation, disability or age. We want you to grow and evolve,&nbsp;<a target="_blank" rel="noopener noreferrer nofollow" href="https://www.youtube.com/watch?v=dOUL_n8pSGQ">bring your true self to work</a>.&nbsp;

Senior Machine Learning Engineer

The Senior GRC Data and Technical Lead will drive the implementation and enhancement of a Governance Risk and Compliance platform, help manage and structure enterprise risk data and develop AI-enabled dashboards and reporting to strengthen our enterprise risk intelligence. The Senior Enterprise Risk Analyst will play a vital role in operationalizing a data driven and future-ready risk program for the organisation.This role blends expertise in enterprise risk with hands-on experience in governance and risk technology, AI tools, and data visualization to improve how risk is monitored, communicated, and acted upon.&nbsp;OPPORTUNITIES<ul><li>Drive the deployment and scaling of the enterprise GRC platform, ensuring alignment with the organization’s risk framework and operational needs. </li><li>Configure platform workflows, risk libraries, and reporting hierarchies to enable automation, traceability, and audit-readiness. </li><li>Collaborate with IT and vendor teams to integrate risk data from multiple sources and ensure seamless platform functionality.</li><li>Maintain accurate, consistent, and well-structured risk data within the GRC platform, including risk registers, control libraries, incidents, and mitigation plans. </li><li>Establish and document data governance practices and support data clean-up, normalization, and classification efforts. </li><li>Help prepare the risk data infrastructure for future automation and advanced analytics use cases, including AI applications.</li><li>Stay current on how AI is being used in risk management, governance, and compliance functions across the industry. </li><li>Collaborate with data, tech, and risk teams to explore practical use cases for AI in areas such as risk identification, issue tracking, or document analysis. </li><li>Help define requirements, governance principles, and controls to guide future AI adoption within the enterprise risk function.</li><li>Develop and maintain dashboards and reports tailored to different stakeholder groups (e.g., operational, functional, executive levels). </li><li>Use BI tools (e.g., Power BI, Tableau, or GRC-native dashboards) to visualize key risks, trends, and open issues. </li><li>Partner with the rest of the team to evolve toward more dynamic, data-driven reporting that supports predictive insights over time. </li></ul>&nbsp;SKILLS<ul><li>Bachelor’s degree in Business, Risk Management, Information Systems, or a related field; Master’s degree or GRC certifications (e.g., CRMA, CGEIT, GRCP) a plus.</li></ul><ul><li>&nbsp;4–7 years of experience in enterprise risk management, internal audit, GRC platform support, or data/reporting roles—ideally in a technology-driven organization.</li><li>Hands-on experience implementing or managing GRC systems (e.g., Archer, LogicGate, Logic Manager, Riskonnect, OneTrust, ServiceNow GRC, etc.). </li><li>Proficiency in building dashboards and reports using BI tools such as Power BI, Tableau, or advanced Excel. </li><li>Experience in the tech industry is a plus. </li><li>Fluency in English required.</li><li>Excellent attention to detail and ability to manage and structure complex data sets to support high-quality reporting </li><li>Can translate technical or data-heavy content into clear, business-relevant language </li><li>Strong communication skills and ability to work cross-functionally with risk, compliance, IT, and business teams. </li><li>Skilled at tailoring risk messages to different audiences (operational teams vs. executives) </li><li>Builds trust and rapport, especially during change initiatives like GRC implementation </li><li>Ability to work autonomously and be hands on / ‘can do’ attitude person</li></ul>&nbsp;&nbsp;VALUES<ul><li>Care&nbsp;about the organization’s enterprise risk management framework.</li><li>Commit to&nbsp;updating risk registers and databases.</li><li>Collaborate with&nbsp;senior management and the Board of Directors, highlighting key risk exposures.</li><li>Challenge risks associated with new business initiatives.</li></ul> &nbsp;SOME OF OUR BENEFITS include:<ul><li>Maternity leave:&nbsp;Transition back with 3 days per week in the first month and 4 days per week in the second month </li><li>Civil Partnership:&nbsp;1 week of paid leave if you're getting married. This covers marriages and civil partnerships, including same sex/civil partnership </li><li>Family care:&nbsp;4 weeks of paid family care leave </li><li>Recharge days:&nbsp;4 days per year to use when you need to physically or mentally needed to recharge </li><li>Study leave:&nbsp;2 weeks of paid leave each year for study or personal development&nbsp;</li></ul>

Senior GRC Data and Technical Lead

We are currently in search of a Senior Data Engineer who will be responsible for designing, building and maintaining our data architecture and flows, and optimizing data warehouse and pipeline. In this role, you will be working with agile methodologies and your contributions will have immediate impact on the scalability, efficiency, and reliability of our data infrastructure, influencing day-to-day decisions at efood.&nbsp; What you’ll do:&nbsp;<ul><li>Design, deploy and manage infrastructure components and systems of the data platform</li><li>Design and maintain data warehouse (data preparation, data warehousing, reporting, analytics &amp; data exploration and information delivery)</li><li>Support and maintain the data foundation that the reporting layer and dashboards rely on</li><li>Build, maintain, and deploy data products for analytics and data science teams on cloud platforms</li><li>Prepare high-level ETL mapping specifications</li><li>Develop complex code data scripts (usually in Python or &nbsp;SQL) to extract and manipulate data from multiple sources.</li><li>Act across all development levels - from data acquisition and manipulations to the solution deployment and ongoing support</li><li>Ensure data accuracy, integrity, privacy, security and compliance</li><li>Resolve end user reporting problems through collaboration with stakeholders</li><li>Troubleshoot technical issues and provide administrative support for the Business Intelligence toolbox</li></ul>&nbsp;Nice to have:<ul><li>Experience with Columnar Databases (e.g. BigQuery, Redshift)</li><li>Experience with Infrastructure as Code tooling (e.g. Terraform)</li><li>Experience with Git and implementation of CI/CD pipelines</li><li>Familiarity in working with REST APIs</li><li>Basic knowledge of analytics concepts</li></ul>&nbsp;&nbsp; Life @efood: At efood, no day is the same as the day before! efooders know that working and having a good time aren't the opposite and that’s why every day at efood is a new adventure! We always aim higher and we thrive in finding solutions to push our limits further! We care about our customers, our employees, and our society. We seize every opportunity to celebrate achievements and milestones, but we also celebrate small things (like Fridays!) Every efooder is part of a fast-growing multinational company, with endless opportunities for professional growth and acquisition of new skills! We have an established, yet super creative and fun working environment, with talented and ambitious people whose ultimate goal is to maintain efood as the ideal workplace! What you need to be successful <ul><li>University/Bachelor’s Degree in Computer Science</li><li>At least 6 years of experience in a relevant position</li><li>Understanding and implementation experience with both relational and data warehousing models</li><li>Strong knowledge of data analysis, data transformation, conceptual data modeling, meta-data management, data mart schemas for optimal performance of business intelligence solutions</li><li>Strong programming experience with Python&nbsp;</li><li>Advanced SQL skills</li><li>Experience with at least one cloud provider (Google Cloud, AWS, Azure)</li><li>Experience with docker and container orchestration technologies (Kubernetes)</li><li>Experience with workflow scheduling tools (e.g. Apache Airflow, Argo workflows, Dagster, Luigi)</li><li>Analytical acumen with a strong sense of urgency and ownership in your work</li><li>Excellent communication and collaboration skills&nbsp;</li><li>Proven ability to work independently and as part of multidisciplinary team</li><li>Proficiency in Greek and English (verbal and written)</li></ul> Who we are efood is part of the Delivery Hero Group, the world’s pioneering local delivery platform, our mission is to deliver an amazing experience—fast, easy, and to your door. We operate in over 70+ countries worldwide. Headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index. What's in it for you <ul><li>If you are happy, we are happy! That’s why we offer an attractive remuneration package for what you bring in!</li><li>We share a passion for food, so you will certainly appreciate the ticket restaurant card 💳 to spend in restaurants and/or food supplies. We are efooders after all!</li><li>We take care of you with Private Medical &amp; Life Insurance from day #1 to keep you healthy and happy!</li><li>We prioritize your mental health 🧠 and offer round-the-clock access to an online mental health platform. You can schedule unlimited therapy sessions with certified psychologists and coaching sessions with experienced coaches.</li><li>We want you to grow with us🚀! And to help you keep improving, we provide you access to our online training platform where you can study 📖 topics for your personal and professional growth!</li><li>Are you a cappuccino lover ☕? Do you desperately want a cookie? Our cafeteria got you covered!</li><li>If you want to stay in shape 🏋️, our in-house gym awaits you fully equipped!</li><li>We are passionate about exploring, growing &amp; learning and our Global Mobility plan is created to help our people find their purpose &nbsp;around the world 🌎!</li><li>Saving for the future? We’ve got your back! Our Pension Plan helps you invest in tomorrow while you enjoy today!</li></ul>

Senior Data Engineer

We are looking for a Technical Product Analyst to join our Product team with the mission to make efood product better through data insights. We bake challenges by using agile methodologies, top line tools and of course always working with the best of teams.Being part of a multi-functional team you will work closely with Product teams and will be responsible for developing a deep understanding of product health and the customer experience and advance data collection and quality.This is a chance to be part of a rapidly growing team in a company that is changing the online delivery landscape, and be able to influence, execute and see the impact of your work at the end of the day.We drive value by helping businesses, systems, and people make better decisions faster at scale. If you're a creative problem solver who is eager to deliver solutions and hungry for a new adventure, then challenge yourself by joining our #product team and make an impact!What you’ll do:<ul><li>Determine what needs to be tracked and measured, maintaining the Tracking Plan and working on the Tag Management System.</li><li>Understand how to improve our data collection strategy, helping other data departments to leverage the collected data but also work with developers to communicate what an implementation is designed to accomplish.</li><li>Specify the data needs, so the data engineers enrich the central data solutions.</li><li>Diagnose issues with existing platform configurations and tags, and provide recommendations for improvement.</li><li>Develop dashboards and define metrics that inform success for the Product Team.</li><li>Get involved in the design, execution and evaluation of A/B tests to improve the user journey.</li></ul>Life @efood:At efood, no day is the same as the day before!efooders know that working and having a good time aren't the opposite and that’s why every day at efood is a new adventure!We always aim higher and we thrive in finding solutions to push our limits further! We care about our customers, our employees, and our society.We seize every opportunity to celebrate achievements and milestones, but we also celebrate small things (like Fridays!)Every efooder is part of a fast-growing multinational company, with endless opportunities for professional growth and acquisition of new skills! We have an established, yet super creative and fun working environment, with talented and ambitious people whose ultimate goal is to maintain efood as the ideal workplace!Hungry enough to join us? What you need to be successful <ul><li>University Degree in a Quantitative field (Statistics, Math, Physics etc).</li><li>At least 2 years of experience with advertising, ecommerce and behavioral tracking tools (e.g. Google Analytics, Mixpanel, Firebase, Google Ads, Facebook Ads).</li><li>1+ years of experience focused on feature and usage metrics, A/B testing, conversion and retention, segmentation, and developing user personas and their usage patterns.</li><li>Experience using Business Intelligence/Data Visualization tools (eg Looker Studio, Microsoft Power BI, Tableau).</li><li>Solid Experience with tag management platforms and dataLayer (Google Tag Manager or other TMS system).</li><li>Comfort working in a highly agile, intensely iterative software development process (Git, Cloud services, Python/R/SQL notebooks scripting).</li><li>Team player who loves to collaborate and work with stakeholders with diverse backgrounds.</li><li>Excellent eye for detail and a self-motivated problem solver.</li><li>Superior analytical skills and a strong sense of urgency and ownership in your work.</li><li>Strong communication and collaboration skills (English is a must)</li></ul>Nice to have (optional):<ul><li>Solid knowledge of JavaScript.</li><li>Familiar with agile methodologies (Scrum/Kanban/XP).</li></ul> Who we are efood is part of the Delivery Hero Group, the world’s pioneering local delivery platform, our mission is to deliver an amazing experience—fast, easy, and to your door. We operate in over 70+ countries worldwide. Headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index. What's in it for you If you are happy, we are happy! That’s why we offer an attractive remuneration package for what you bring in!We share a passion for food, so you will certainly appreciate the ticket restaurant card 💳 to spend in restaurants and/or food supplies. We are efooders after all!We take care of you with Private Medical &amp; Life Insurance from day #1 to keep you healthy and happy!We want you to grow with us 🚀 ! And to help you keep improving, we provide you access to our online training platform where you can study 📖 topics for your personal and professional growth!Are you a cappuccino lover ☕? Do you desperately want a cookie? Our cafeteria got you covered!If you want to stay in shape 🏋️ , our in-house gym awaits you fully equipped! You can also join our remote fitness sessions and classes from the safety of your home!

Technical Product Analyst

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