Urwah Admin

Delivery Hero

<div>Company Description 
Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers. talabat&rsquo;s local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region. 
We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants and local shops, and provide our riders with reliable earning opportunities daily. 
Here at talabat, we are building a high performance culture through engaged workforce and growing talent density. We're all about keeping it real and making a difference. Our 6,000+ strong talabaty are on an awesome mission to spread positive vibes. We are proud to be a multi great place to work award winner. 
Job Description 
As the leading delivery company in the region, we have a great responsibility and opportunity to impact the lives of millions of customers, restaurant partners, and riders. To realize our potential, we need to advance our platform to become much more intelligent in how it understands and serves our users.
As a Sr. Data Scientist (AI &amp; ML) on the global AI hub, your mission will be to design, build, and ship the machine learning and generative AI systems that power decisions across product and business. You will own a particular domain end to end, working closely with product and business managers as part of a talented team of data scientists and machine learning engineers. You will own the full ML lifecycle, from problem framing, data modeling, and feature engineering through model training, deployment, serving, and monitoring in production. Many of our initiatives will focus on leveraging Generative AI and LLMs for tasks such as data enrichment, smart content understanding, and automated decision-making to enhance user experiences and business operations at scale.
Responsibilities<ul><li>
Framing ambiguous business problems as well-defined machine learning and data science problems, with clear, objective success criteria.</li><li>
Providing high-quality, impactful insights and data-driven recommendations through rigorous analysis and automated reporting to drive strategic organizational choices.</li><li>
Designing, building, and shipping end-to-end machine learning and generative AI systems in production &mdash; spanning data pipelines, feature engineering, model training, serving, and monitoring.</li><li>
Taking on engineering-heavy work end to end: architecting robust ML-based systems, writing clean and scalable production code, and training, deploying, and maintaining reliable ML models that solve real business problems at scale.</li><li>
Training, evaluating, and iterating on models &mdash; selecting the simplest, most appropriate algorithms and architectures to deliver measurable business value.</li><li>
Leveraging LLMs and generative AI for data enrichment, smart content understanding, and automated decision-making within production systems.</li><li>
Building and maintaining the data models, features, and pipelines that power model training and allow us to measure performance and its drivers for your area of focus.</li><li>
Designing, planning, and analyzing experiments (A/B and multivariate tests) to rigorously measure model and product impact.</li><li>
Developing deep familiarity with source data and its generating systems through documentation, collaboration with engineering teams, and systematic data profiling.</li><li>
Partnering with product and business teams to identify high-impact opportunities and translate them into ML solutions and actionable, data-driven recommendations.</li><li>
Mentoring other data scientists in their growth journeys.</li><li>
Elevating engineering and ML best practices &mdash; improving our ways of working, tooling, MLOps, and internal training programs.</li></ul> 
Qualifications 
Technical Experience<ul><li>
Deep expertise in machine learning, generative AI, deep learning, recommendation systems, NLP, pattern recognition, data mining.</li><li>
Deep hands-on knowledge of ML and GenAI frameworks (e.g. Scikit-learn, XGBoost, LightGBM, CatBoost, SVMs, Keras, TensorFlow, PyTorch, Transformers, LLM fine-tuning).</li><li>
Strong software engineering fundamentals: excellent coding skills, a solid grasp of data structures and algorithms, and proven ability in both general system design and ML system design.</li><li>
Proven experience building, deploying, serving, and monitoring ML models in production, with a strong grasp of MLOps practices.</li><li>
Strong data and ML engineering skills, including building and orchestrating data and training pipelines (e.g. via Airflow) and robust feature engineering.</li><li>
Excellent SQL and competence with reproducible analysis and modeling in Python.</li><li>
Solid statistical foundations, including experiment design and analysis (A/B and multivariate) and inferential, causal, and predictive methods.</li><li>
Familiarity with data modeling and dimensional design.</li><li>
Strong command over the entire ML lifecycle, from problem formulation and data auditing through modeling, deployment, interpretation, and presentation.</li><li>
Familiarity with product data (impressions, events, etc.) and product health measurement (conversion, engagement, retention, etc.).</li><li>
Experience with LLMs and NLP-based solutions for data enrichment and smart automation is a plus.</li><li>
Familiarity with BigQuery and the Google Cloud Platform is a plus.</li></ul>
Qualifications<ul><li>
Bachelor's degree in engineering, computer science, technology, or similar fields. A postgraduate degree is a plus but not required.</li><li>
5+ years of experience across data science, machine learning engineering, and generative AI, including shipping ML models to production.</li><li>
Experience building ML systems in an online consumer product setting is a plus.</li><li>
A good problem solver with a 'figure it out' growth mindset.</li><li>
An excellent collaborator.</li><li>
An excellent communicator.</li><li>
A strong sense of ownership and accountability.</li><li>
A 'keep it simple' approach to #makeithappen.</li></ul></div>

Sr. Data Scientist (AI & ML)

<div>Company Description 
instashop, headquartered in Dubai, is the leading online local marketplace in the UAE and Egypt . Since joining the Delivery Hero family in 2020, the global leader in online food delivery and q-commerce, instashop has been setting the standard for excellence and convenience in the region.
With a dynamic and motivated team fueled by passion and innovation, every day at instashop is an opportunity for growth and success. We champion inclusivity, diversity and collaboration, creating an environment where everyone&rsquo;s achievements are celebrated and where success is the only way forward. As we continue to grow, our team keeps expanding across the UAE, Egypt and Greece, and we&rsquo;re always on the lookout for new talents to join us on our success journey. 
Job Description 
We are looking for a curious and analytical Business Analyst who can work with large datasets, translate business questions into structured analyses, and turn insights into actionable recommendations.
The role will work closely with Commercial, Marketing, Operations, Product, and other teams to evaluate performance, identify opportunities, and support data-driven decisions.
Strong hands-on SQL skills are essential, along with an interest in using AI to make analytics faster and more scalable.<ul><li>
Analyse business performance across growth, customer behaviour, revenue, profitability, marketing, and operations.</li><li>
Independently write and optimise SQL queries to extract and analyse large datasets.</li><li>
Conduct deep dives to identify trends, performance gaps, growth opportunities, and key business drivers.</li><li>
Analyse customer behaviour across acquisition, retention, churn, frequency, cohorts, and segmentation.</li><li>
Support business cases, forecasting, scenario modelling, and impact estimation for new initiatives.</li><li>
Build dashboards and recurring reports using BI and visualisation tools.</li><li>
Partner with cross-functional teams to define KPIs and provide clear, commercially relevant recommendations.</li><li>
Ensure accuracy and reliability of analytical outputs.</li></ul>
AI in Analytics<ul><li>
The candidate should actively use AI as part of the analytics workflow, including:</li><li>
Accelerating SQL development, debugging, and analysis.</li><li>
Structuring analytical approaches and generating hypotheses.</li><li>
Automating repetitive reporting and analytical tasks.</li><li>
Improving insight generation, documentation, and stakeholder communication.</li></ul>
AI should enhance analytical thinking, not replace it. 
Qualifications 
<ul><li>
3-5 years of experience in Business Analytics, Data Analytics, Strategy Analytics, Growth Analytics, or a related field.</li><li>
Strong hands-on SQL skills.</li><li>
Strong Excel / Google Sheets skills.</li><li>
Experience with BI tools such as Tableau, Power BI, Looker, Metabase, or similar.</li><li>
Strong analytical, problem-solving, and structured thinking skills.</li><li>
Ability to translate data into clear business recommendations.</li><li>
Comfortable working with multiple stakeholders in a fast-paced environment.</li><li>
Practical exposure to generative AI tools in analytical workflows.</li></ul>
Nice to Have<ul><li>
Experience in e-commerce, marketplaces, quick commerce, retail, fintech, or consumer technology.</li><li>
Exposure to Python.</li><li>
Understanding of A/B testing and experimentation.</li><li>
Experience with customer lifecycle, marketing, pricing, retention, churn, or unit economics.</li></ul></div>

Business Analyst - instashop

<div>Company Description 
As the world&rsquo;s pioneering local delivery platform, our mission is to deliver an amazing experience, fast, easy, and to your door. We operate in around 65 countries worldwide powered by tech, designed by people. As one of Europe&rsquo;s largest tech platforms, 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. We enable creative minds to deliver solutions that create impact within our ecosystem. We move fast, take action and adapt. No matter where you're from or what you believe in, we build, we deliver, we lead. We are Delivery Hero. 
Job Description 
We are looking for a Staff Security Engineer, Global SOC (all genders) to join the Security Engineering domain on our journey to always deliver amazing experiences. 
As a Staff Security Engineer within our Global SOC, you will be the technical anchor for our Security Monitoring and Threat Detection capabilities across a high-transaction food delivery and quick-commerce platform handling millions of daily orders. As a business spanning logistics, e-commerce, and FinTech, our environment is highly regulated, in this role you will build and govern the systems that ensure rapid, high-fidelity threat detection in compliance with global frameworks. 
You will operate at the intersection of a hands-on technical practitioner and a strategic engineering leader. We are looking for someone with a strong 'builder mindset' who views threat detection as a software engineering discipline. Instead of staring at dashboards, you will architect and define our log pipelines, SIEM &amp; SOAR infrastructure, and implement Detection Engineering methodologies as code. You will develop threat detection use cases, integrate Cyber Threat Intelligence, and build the automated triage workflows that seamlessly escalate validated, high-severity incidents to our CSIRT team for final containment. Ultimately, you will provide a robust, scalable detection platform globally.
Your mission:<ul><li>
Detection &amp; Platform Architecture: Architect, implement, strengthen and scale the Security Log Management (on AWS), SIEM and SOAR (Google SecOps) infrastructure. You will own the log ingestion pipelines, ensuring high availability, performance, and optimal retention based on business requirements.</li><li>
Engineering-Led Detection &amp; Automation: Architect, build, and maintain log ingestion pipelines, detection rules (e.g., YARA-L), API integrations, and SOAR workflows &amp; Plugins. You will lead the charge in treating &quot;Detection as Code&quot;, ensuring all alerts and automated enrichments are version-controlled, tested, and deployed through CI/CD pipelines.</li><li>
Cyber Threat Intelligence: Establish and integrate CTI capabilities to drive an intelligence-led detection strategy. You will map detections to the MITRE ATT&amp;CK framework and proactively hunt for threats specific to Delivery Hero and its entities.</li><li>
Triage &amp; Escalation Engineering: Design high-fidelity alert workflows. For all security events, you will ensure our automated systems gather, enrich, and seamlessly conduct the right response and containment workflow.</li><li>
Stakeholder Communication: Serve as the primary interface between the Global SOC and Engineering teams, CISOs, and the CSIRT team, translating complex detection &amp; response architectures, log ingestion pipeline requirements into clear technical and business terms.</li><li>
Mentorship &amp; Leadership: Act as a hands-on technical leader and role model, actively mentoring detection engineers and regional security teams to raise the overall technical bar and promote a collective security mindset.</li><li>
Metrics &amp; Strategic Visibility: Maintain a Data-Driven Strategic mindset to define, track, and improve core operational metrics (Log Pipeline Health, Alert Fidelity, True Positive Rates, MTTD) to identify systemic gaps and propose strategic security investments.</li><li>
On-Call: Participate in an on-call rotation focused on maintaining critical SIEM/SOAR infrastructure health, handling high-severity alert triage, and executing emergency escalations to CSIRT.</li></ul> 
Qualifications 
What you need to be successful:<ul><li>
7+ years of broad cybersecurity experience with a deep understanding of core security fundamentals, coupled with 5+ years of dedicated experience in a SOC or Threat Detection Engineering environment.</li><li>
Security Tool Mastery: Deep operational and architectural expertise with modern SIEM &amp; SOAR platforms (specifically Google SecOps / Chronicle), EDR and Cloud infrastructure (AWS/GCP),</li><li>
Engineering Skills: Proven experience utilizing Git/GitHub, CI/CD pipelines, to deploy rules, manage infrastructure and automation as code.</li><li>
CTI &amp; Triage Workflows: Strong background in operationalizing Cyber Threat Intelligence and building scalable alert triage processes that reduce false positives and prevent alert fatigue.</li><li>
Strategic Leadership: An exceptional communicator with the ability to influence cross-functional stakeholders (Regional Security Teams, Platform Engineering) and simplify complex systems across domains without requiring formal authority.</li><li>
Advanced Threat Detection (Cloud, Identity &amp; EDR): Proven deep operational experience triaging alerts and building high fidelity detections across public cloud environments (AWS/GCP), modern Identity Providers (e.g., Okta, Entra ID, Google Workspace), and EDR platforms (e.g., CrowdStrike, SentinelOne, Defender).</li><li>
AI &amp; Next-Gen Tooling: Experience integrating AI/LLM capabilities and MCP (Model Context Protocol) usage into Threat Detection and SOAR for automated alert triage, payload analysis, or data enrichment (highly regarded skill).</li></ul>
Nice to have:<ul><li>
Advanced Cyber Threat Intelligence: Experience building threat intel programs, managing intelligence platforms (e.g., MISP), and translating raw IOCs/TTPs into high-fidelity detection logic.</li><li>
Regulated Environment Expertise: Deep operational understanding of global cybersecurity and privacy frameworks (e.g., PCI-DSS, GDPR, NIS2, DORA, MAS TRM). You know how to implement logging, retention, and audit capabilities that meet strict regulatory compliance requirements.</li><li>
Relevant Technical Certifications: Active or in-progress industry-recognized technical certifications focused on security engineering, cloud architecture, or threat detection (e.g., AWS Certified Security/Solutions Architect, GCIA/GCDA/GMON, CISSP).</li></ul> 
Additional Information 
Ensuring you and all our Heroes are looked after, happy, and healthy is always on the menu. Because if you&rsquo;re in good shape, then we&rsquo;re in good shape.<ul><li>
Make the most of our hybrid working model and join the team for face-to-face connection and collaboration in our beautiful Berlin campus 2 days a week</li><li>
We offer 27 days holiday with an extra day on 2nd and 3rd year of service</li><li>
We will support you in developing yourself and your career growth opportunities: 1.000 &euro; Educational Budget, Language Courses, Parental Support and access to the Udemy Business platform to explore a variety of online courses.</li><li>
Get moving and release those wonderful, mind-boosting endorphins: Health Checkups, Meditation, Gym &amp; Bicycle Subsidy</li><li>
Cash. Dough. Cheddar. Whatever you call it, we&rsquo;ll help you with it: Employee Share Purchase Plan, Sabbatical Bank, Public Transportation Ticket Discount, Life &amp; Accident Insurance, Corporate Pension Plan</li><li>
The power of getting together over some food is unrivaled. Here are a few ways to help you do that. All the yum: Digital Meal Vouchers, Food Vouchers, Corporate Discounts. Courses.</li><li>
Wondering what relocating to Berlin is like? In this article, we&rsquo;ve put together 10 things you should know about moving to Berlin and how Delivery Hero can support you. You can also visit our relocation hub and check out more information about moving to Berlin.</li><li>
Ready to prepare for your interview? Check out the list of the 5 most common interview questions and answers created in collaboration with our recruiters.</li></ul>
Ready to join our team? If you&rsquo;re excited to grow, collaborate and be part of the world&rsquo;s leading delivery platform, we&rsquo;d love to hear from you. Apply today! 
We believe diversity and inclusion are key to creating not only an exciting product, but also an amazing customer and employee experience. Fostering this starts with hiring - therefore we do not discriminate on the basis of racial identities, religious beliefs, color, national origin, gender identities or expressions, sexual orientations, age, marital or disability statuses, or any other aspect that makes you, you. 
 
We encourage you to let us know if you need any accommodations or specific accessibility support to ensure a smooth interview experience&mdash;just let us know with an email to our Inclusion Officer at inclusion@deliveryhero.cominclude it in your application. 
 
Severely disabled applicants with equal qualifications will be given preferential consideration. 
 
You're welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.
We believe diversity and inclusion are key to creating not only an exciting product, but also an amazing customer and employee experience. Fostering this starts with hiring - therefore we do not discriminate on the basis of racial identities, religious beliefs, color, national origin, gender identities or expressions, sexual orientations, age, marital or disability statuses, or any other aspect that makes you, you. 
 
We encourage you to let us know if you need any accommodations or specific accessibility support to ensure a smooth interview experience&mdash;just let us know with an email to our Inclusion Officer at inclusion@deliveryhero.com. 
 
Severely disabled applicants with equal qualifications will be given preferential consideration. 
 
You're welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.<div></div>
We believe diversity and inclusion are key to creating not only an exciting product, but also an amazing customer and employee experience. Fostering this starts with hiring - therefore we do not discriminate on the basis of racial identities, religious beliefs, color, national origin, gender identities or expressions, sexual orientations, age, marital or disability statuses, or any other aspect that makes you, you. 
 
We encourage you to let us know if you need any accommodations or specific accessibility support to ensure a smooth interview experience&mdash;just let us know with an email to our Inclusion Officer at inclusion@deliveryhero.com. 
 
Severely disabled applicants with equal qualifications will be given preferential consideration. 
 
You're welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.</div>

Staff Security Engineer, GSOC

<div>Company Description 
Since launching in Kuwait in 2004, talabat has become the region&rsquo;s leading on-demand delivery app, serving millions of customers across eight countries. Our Quick Commerce (QC) Hub powers the grocery and convenience delivery experience &mdash; getting everyday essentials to customers&rsquo; doors in minutes, not hours.
Behind every delivery is data. Our QC data team works at a scale most data scientists only read about: millions of daily transactions, thousands of partners, and decisions that directly shape how people across the Middle East get their groceries delivered. We&rsquo;re building an analytics-first culture where every product and business decision is grounded in evidence. 
Job Description 
Why This Role
As a Data Scientist on the QC Hub team, you&rsquo;ll be the analytical brain behind one of talabat&rsquo;s fastest-growing verticals. You won&rsquo;t just crunch numbers &mdash; you&rsquo;ll partner directly with product and business leaders to shape strategy, design experiments that affect millions of users, and build the data foundations that power smarter decisions.
This is a role for someone who loves turning messy, ambiguous business questions into clean, actionable analysis &mdash; and who gets energy from seeing their insights change how a team operates.
What Success Looks Like<ul><li>
First 90 days: You&rsquo;ve ramped up on your domain, built relationships with your product and business partners, understood the data landscape, and delivered your first actionable analysis.</li><li>
By 6 months: You&rsquo;re the go-to analytical partner for your domain. You&rsquo;re independently designing and running experiments, and stakeholders regularly act on your recommendations.</li><li>
By 12 months: Your work has measurably improved decision quality in your domain. You&rsquo;ve built or refined data models that the team relies on daily, and you&rsquo;re mentoring newer team members on analytical best practices.</li></ul>
What You&rsquo;ll Actually Do
You&rsquo;ll spend roughly:<ul><li>
40% on deep analysis and experimentation &mdash; designing A/B tests, running multivariate experiments, doing deep dives into performance drivers, and turning findings into clear recommendations.</li><li>
30% on data modelling and quality &mdash; building and maintaining the data models that let us measure what matters, profiling source data, and ensuring data reliability.</li><li>
30% working with stakeholders &mdash; partnering with product and business managers to frame the right questions, set meaningful KPIs, and present insights that drive action.</li></ul>
Day-to-day, you&rsquo;ll:<ul><li>
Turn ambiguous business questions into structured analytical problems</li><li>
Build and maintain dimensional data models in BigQuery</li><li>
Design, execute, and interpret experiments (A/B and multivariate)</li><li>
Create automated dashboards and reports that stakeholders actually use</li><li>
Challenge assumptions with data &mdash; including your own</li><li>
Collaborate with data engineers on logging and data pipeline quality</li></ul>
You&rsquo;ll Thrive Here If You&hellip;<ul><li>
Love being embedded with business teams, not siloed in a data team</li><li>
Get satisfaction from changing how decisions are made, not just producing reports</li><li>
Are comfortable with ambiguity &mdash; many of your best projects will start as vague questions</li><li>
Care deeply about data quality and are willing to dig into source systems to understand what the data actually means</li><li>
Communicate clearly with non-technical stakeholders</li></ul>
This Might Not Be For You If You&hellip;<ul><li>
Want to build ML models full-time (this role is analytics and experimentation focused)</li><li>
Prefer working independently without regular stakeholder interaction</li><li>
Need clearly defined problems handed to you</li><li>
Are more interested in tools and techniques than business impact</li></ul> 

Qualifications 
What You Bring 
Education
Degree in a quantitative field (statistics, mathematics, economics, computer science, engineering, or similar) &mdash; or equivalent practical experience. A postgraduate degree is a plus but not required.
Must-Haves:<ul><li>
Strong SQL skills &mdash; you can write complex queries with window functions, CTEs, and optimise for performance on large datasets</li><li>
Reproducible analysis in Python or R &mdash; you write clean, well-structured analytical code, not one-off scripts</li><li>
Experiment design expertise &mdash; you understand when to use A/B vs. multivariate tests, can calculate sample sizes, and know the pitfalls of statistical testing</li><li>
Full analysis lifecycle experience &mdash; from problem framing through data auditing, analysis, interpretation, and presenting recommendations</li><li>
Data modelling knowledge &mdash; you understand dimensional design and can build models that serve both ad-hoc analysis and automated reporting</li><li>
Product analytics intuition &mdash; you&rsquo;re familiar with metrics like conversion, engagement, and retention, and know how to measure product health</li><li>
3+ years in data science, analytics, or a related quantitative field</li></ul>
Nice-to-Haves:<ul><li>
Experience with BigQuery and Google Cloud Platform</li><li>
Data engineering skills (Airflow, dbt, or similar pipeline tools)</li><li>
Experience with ML frameworks (Scikit-learn, XGBoost, LightGBM)</li><li>
Familiarity with modern data tools and AI-assisted analysis workflows</li><li>
Experience in an online consumer product or marketplace environment</li></ul> 

Additional Information 
What We Offer<ul><li>
Impact at scale &mdash; your work directly affects how millions of people get their daily essentials</li><li>
An analytics-first culture &mdash; a data team that&rsquo;s genuinely invested in analytical excellence, not just dashboarding</li><li>
Modern tooling &mdash; BigQuery, GCP ecosystem, and the freedom to experiment with new approaches including AI-assisted workflows</li><li>
Career growth &mdash; past data scientists on the team have grown into senior individual contributor roles and analytics leads</li><li>
Great Place to Work &mdash; talabat is a certified Great Place to Work across multiple countries in the region</li></ul></div>

Data Scientist II - Analysis, QC

<div>Company Description 
As the world&rsquo;s pioneering local delivery platform, our mission is to deliver an amazing experience, fast, easy, and to your door. We operate in around 65 countries worldwide powered by tech, designed by people. As one of Europe&rsquo;s largest tech platforms, 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. We enable creative minds to deliver solutions that create impact within our ecosystem. We move fast, take action and adapt. No matter where you're from or what you believe in, we build, we deliver, we lead. We are Delivery Hero. 
Job Description 
We are looking for a Staff Security Engineer (all genders) to join our Product Security team on our journey to always deliver amazing experiences.
We are looking for a pragmatic, high-impact individual contributor to join our Product Security team as a Staff Product Security Engineer (IC4). In this pivotal role, you will drive the overarching technical strategy for application security, ensuring we reduce real-world risk across our entire product landscape without slowing down engineering velocity.
You will champion a &quot;Secure by Design&quot; philosophy, moving away from reactive auditing and security gatekeeping. Instead, you will treat security as a collaborative engineering challenge, designing the automated guardrails, developer tooling, and technical frameworks that enable our engineering teams to scale rapidly and securely by default. As a Staff-level individual contributor, your leadership will extend beyond the immediate product boundaries and you will achieve domain-wide impact by seamlessly bridging the gap between Application Security, AI/ML security, Infrastructure Security, and Security Operations.
Your mission:<ul><li>
Drive Product Security Maturity: Drive the strategic technical roadmap for the Product Security team, ensuring threat-modeling methodologies and secure coding practices scale efficiently across our global web and mobile application ecosystem.</li><li>
Lead Threat Modeling &amp; Security Architecture Reviews: Apply your expertise to identify complex security design flaws early in the Software Development Life Cycle (SDLC) using frameworks and automation tools, co-authoring architectural blueprints that are secure by default.</li><li>
Scale Vulnerability Management &amp; Governance: Architect and run our vulnerability management program at scale. You will ingest inputs from internal testing, automated tooling, and external Bug Bounty / Vulnerability Disclosure Programs, systematically validating and ranking vulnerabilities based on actual business risk.</li><li>
Master Stakeholder Management: Translate complex software and AI-related vulnerabilities into clear, actionable business risks, partnering closely with engineering leadership and product verticals to drive timely remediation without friction. systematically tracking and optimizing metrics such as Mean Time to Remediate (MTTR) and SLA Adherence % to elevate our overall security posture.</li><li>
Automate DevSecOps &amp; CI/CD Pipelines: Replace manual gates with seamless DevSecOps workflows, embedding automated security testing tools (SAST, DAST, SCA) directly into developer pipelines to catch high-risk flaws early.</li><li>
Pioneer AI-Driven Security Automation: Champion the adoption of artificial intelligence and LLMs to revolutionize our security workflows. You will design and implement cutting-edge AI-powered code security automation, leverage AI for automated vulnerability triage, and build smart security automation guardrails that scale engineering productivity.</li><li>
Cross-Domain Collaboration &amp; CSPM Management: Drive domain-wide impact by collaborating with Infrastructure Security to leverage Cloud Security Posture Management (CSPM) platforms, ensuring that application vulnerabilities are contextualized with cloud risk. Partner with Security Operations (Detection &amp; Response) to ensure proper application logging, alerting, and incident readiness.</li><li>
Mentor and Inspire: Act as a technical beacon within the security and engineering organizations. Define key security metrics, drive a strong security culture, and mentor junior and senior engineers to foster a world-class community of Security Champions</li></ul> 
Qualifications<ul><li> 
Proven Engineering Leadership: A strong track record of driving complex application security and DevSecOps initiatives as a staff-level individual contributor in massive, global software environments.</li><li>
Comprehensive Web &amp; Mobile Security: Deep, fundamental understanding of modern web and mobile application security topics, including hands-on experience managing external Bug Bounty and vulnerability disclosure programs.</li><li>
AI Security Expertise: Strong working knowledge of industry-standard security frameworks for artificial intelligence, such as the OWASP Top 10 for LLM Applications, MITRE ATLAS, and the NIST AI RMF.</li><li>
AI &amp; Security Automation Hands-on Experience: Practical understanding of utilizing artificial intelligence (including LLMs/Generative AI) for security engineering use cases, such as automated vulnerability analysis, script generation, triage optimization, and code security remediation.</li><li>
Privacy, Ethics &amp; Regulations: A solid understanding of global data privacy laws (e.g., GDPR), ethical AI considerations, and the regulatory impacts of the EU AI Act on application architecture.</li><li>
Risk-Based Vulnerability Management: Strong expertise in vulnerability validation and triage, with the ability to look past raw CVSS scores to calculate actual business impact, coupled with excellent stakeholder management skills to align engineering teams on remediation.</li><li>
Secure Coding &amp; Remediation Proficiency: Deep hands-on proficiency in multiple modern programming languages (e.g., Java, Python, Go) and the ability to confidently code, review, and remediate complex vulnerabilities (such as the OWASP Top 10) directly within application repositories.</li><li>
Cloud &amp; CSPM Familiarity: Strong working knowledge of cloud security (AWS, GCP, or Azure) and containerized ecosystems (Kubernetes, Docker), alongside an understanding of how to align application security signals with Cloud Security Posture Management (CSPM) platforms.</li><li>
Identity &amp; Access Management (IAM): Deep understanding of modern authentication and authorization protocols (OAuth, OIDC, SAML) and how to design and enforce Zero Trust architectures at scale.</li><li>
Cross-Functional Security Ops Alignment: Basic working knowledge of security operations, threat detection, and incident response, ensuring that product architectures are built to be auditable, observable, and resilient against live attacks.</li></ul>
Nice to have:<ul><li>
Experience securing highly distributed, event-driven microservices architectures at global scale.</li><li>
History of public security research, CVE discovery, or active contributions to open-source security or AI safety tooling.</li><li>
Advanced application security or cloud certifications (e.g., CSSLP, CASE, AWS Security Specialty, Google Professional Cloud Security Engineer, or CISSP).</li></ul> 
Additional Information 
Ensuring you and all our Heroes are looked after, happy, and healthy is always on the menu. Because if you&rsquo;re in good shape, then we&rsquo;re in good shape.<ul><li>
Make the most of our hybrid working model and join the team for face-to-face connection and collaboration in our beautiful Berlin campus 2 days a week</li><li>
We offer 27 days holiday with an extra day on 2nd and 3rd year of service</li><li>
We will support you in developing yourself and your career growth opportunities: 1.000 &euro; Educational Budget, Language Courses, Parental Support and access to the Udemy Business platform to explore a variety of online courses.</li><li>
Get moving and release those wonderful, mind-boosting endorphins: Health Checkups, Meditation, Yoga, Gym &amp; Bicycle Subsidy</li><li>
Cash. Dough. Cheddar. Whatever you call it, we&rsquo;ll help you with it: Employee Share Purchase Plan, Sabbatical Bank, Public Transportation Ticket Discount, Life &amp; Accident Insurance, Corporate Pension Plan</li><li>
The power of getting together over some food is unrivaled. Here are a few ways to help you do that. All the yum: Digital Meal Vouchers, Food Vouchers, Corporate Discounts. Courses.</li></ul> 
We believe diversity and inclusion are key to creating not only an exciting product, but also an amazing customer and employee experience. Fostering this starts with hiring - therefore we do not discriminate on the basis of racial identities, religious beliefs, color, national origin, gender identities or expressions, sexual orientations, age, marital or disability statuses, or any other aspect that makes you, you. 
 
We encourage you to let us know if you need any accommodations or specific accessibility support to ensure a smooth interview experience&mdash;just let us know with an email to our Inclusion Officer at inclusion@deliveryhero.cominclude it in your application. 
 
Severely disabled applicants with equal qualifications will be given preferential consideration. 
 
You're welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.<div></div>
We believe diversity and inclusion are key to creating not only an exciting product, but also an amazing customer and employee experience. Fostering this starts with hiring - therefore we do not discriminate on the basis of racial identities, religious beliefs, color, national origin, gender identities or expressions, sexual orientations, age, marital or disability statuses, or any other aspect that makes you, you. 
 
We encourage you to let us know if you need any accommodations or specific accessibility support to ensure a smooth interview experience&mdash;just let us know with an email to our Inclusion Officer at inclusion@deliveryhero.com. 
 
Severely disabled applicants with equal qualifications will be given preferential consideration. 
 
You're welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.</div>

Staff Security Engineer, Product Security team

<div>Company Description 
As the world&rsquo;s pioneering local delivery platform, our mission is to deliver an amazing experience, fast, easy, and to your door. We operate in around 65 countries worldwide powered by tech, designed by people. As one of Europe&rsquo;s largest tech platforms, 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. We enable creative minds to deliver solutions that create impact within our ecosystem. We move fast, take action and adapt. No matter where you're from or what you believe in, we build, we deliver, we lead. We are Delivery Hero. 
Job Description 
As a Staff Security Engineer within our CSIRT Team, you will be accountable for leading our most critical, complex, and high-impact security incidents end-to-end across a global, high-transaction food delivery and quick-commerce platform handling millions of daily orders. As a business spanning logistics, e-commerce, and FinTech, our environment is highly regulated, in this role you will navigate the complexities of global compliance frameworks while ensuring rapid, effective incident mitigation.
You will operate at the intersection of a hands-on technical practitioner and a strategic leader, making high-consequence decisions during times of ambiguity. We are looking for someone with a strong 'builder mindset'. You don't just respond to security incidents; you approach operational bottlenecks as engineering problems. You will build systems, develop custom tooling, and architect automated workflows to relentlessly eliminate manual toil and scale our response capabilities, ultimately setting the standard for engineering excellence and fostering a security mindset across the organization. 
Your mission:<ul><li>
Incident Commander: Serve as the single accountable leader during active responses for high-severity incidents, directing investigative focus from detection through recovery while maintaining a calm and decisive demeanor under pressure. You will ensure our response strategies and forensic evidence gathering align with strict reporting requirements for GDPR, PCI-DSS, NIS2, DORA, MAS TRM, and other regional mandates.</li><li>
Post-Incident Reviews &amp; Remediation: Lead blameless post-incident reviews to ensure continuous improvement, durable engineering solutions, and systemic resilience.</li><li>
Stakeholder Communication: Serve as the primary interface to stakeholders during critical security incidents, translating complex technical realities into clear risk, impact, and decision frameworks.</li><li>
Engineering-Led Response &amp; Automation: Design and develop in-house solutions, automated workflows, and scalable systems to eliminate repetitive processes, reduce triage time, and continuously improve the overall quality and efficiency of our security incident response operations.</li><li>
Mentorship &amp; Leadership: Act as a hands-on technical leader and role model, actively mentoring teams and individuals within your domain to raise the overall technical bar and share your experience.</li><li>
Metrics &amp; Strategic Visibility: Have a Data-Driven Strategic mindset to define, track, and improve core operational metrics (MTTD, MTTR) to identify systemic gaps and propose strategic, long-term security investments.</li><li>
Organizational Readiness &amp; Tabletop Exercises: Proactively design and facilitate complex, realistic tabletop simulations and purple team engagements to stress-test our playbooks, uncover detection blind spots, and train the wider security and engineering organizations.</li><li>
On-Call: Participate in a predictable on-call rotation as an Incident Responder, leading the charge on high-severity, out-of-hours escalations.</li></ul> 
Qualifications<ul><li> 
7+ years of broad cybersecurity experience with a deep understanding of core security fundamentals, coupled with 5+ years of dedicated experience in a SOC or CSIRT environment.</li><li>
Incident Commander Experience: Proven track record acting as a Security Incident Commander, confidently managing incident timelines, decisions, and cross-functional communications during complex security events.</li><li>
Deep Security Incident Response Expertise: Mastery of the full incident lifecycle and hands-on playbook creation for complex, high-availability hybrid-cloud environments, distributed microservices, and platforms processing vast amounts of PII and payment data.</li><li>
Security Tooling Mastery: Operational expertise with SIEM, EDR, Cloud Security platforms, SOAR, and WAF/DDoS protection solutions.</li><li>
Software Engineering &amp; Tooling (Builder Mindset): Advanced proficiency in writing production-quality code (e.g., Python, Go, Rust) to build scalable in-house solutions.</li><li>
Cloud-Native Security: Hands-on experience securing and responding to incidents across public cloud platforms (AWS, GCP) and cloud-native technologies like Kubernetes, Docker, and Infrastructure-as-Code (e.g., Terraform).</li><li>
Source Control &amp; CI/CD: Familiarity with Git/GitHub usage, CI/CD systems, and modern SecOps workflows.</li><li>
Strategic Leadership: An exceptional communicator with the ability to influence cross-functional stakeholders and simplify complex systems across domains without requiring formal authority.</li></ul>
Nice to have:<ul><li>
Investigative Depth: Digital forensics skills and hands-on experience integrating Threat Intelligence to anticipate attacks and proactively hunt for threats.</li><li>
Malware Analysis &amp; Reverse Engineering: Proven skills in static and dynamic (runtime) malware analysis, reverse engineering, and analyzing malicious payloads within isolated sandbox environments.</li><li>
Web/Mobile Security: Strong background in Web and Mobile application security, understanding complex API architectures, modern authentication frameworks, and defending against high-volume automated attacks (e.g., credential stuffing, scraping).</li><li>
AI &amp; Next-Gen Tooling: Experience integrating AI/LLM capabilities and MCP (Model Context Protocol) usage into Incident Response for automated evidence summarization, data enrichment, or investigation.</li><li>
Regulated Environment Expertise: Deep operational understanding of global cybersecurity and privacy frameworks (e.g., PCI-DSS, GDPR, NIS2, DORA, MAS TRM). You know how to balance aggressive incident containment with the legal and forensic requirements necessary for regulatory compliance and breach notification.</li><li>
Relevant Technical Certifications: Active or in-progress industry-recognized technical certifications focused on incident handling, forensics, or offensive security (e.g., GIAC GCIH/GCFA/GCIA, CISSP, OSCP).</li></ul> 
Additional Information 
Ensuring you and all our Heroes are looked after, happy, and healthy is always on the menu. Because if you&rsquo;re in good shape, then we&rsquo;re in good shape.<ul><li>
Make the most of our hybrid working model and join the team for face-to-face connection and collaboration in our beautiful Berlin campus 2 days a week</li><li>
We offer 27 days holiday</li><li>
We will support you in developing yourself and your career growth opportunities: 1.000 &euro; Educational Budget, Language Courses, Parental Support, access to the Udemy Business platform to explore a variety of online courses</li><li>
Get moving and release those wonderful, mind-boosting endorphins: Health Checkups, Mindfulness and Gym &amp; Bicycle Subsidy</li><li>
The power of getting together over some food is unrivalled. Here are a few ways to help you do that. All the yum: Digital Meal Vouchers, Food Vouchers, Corporate Discounts. Courses and access to Internal Housing Hub</li></ul> 
Ready to join our team? If you&rsquo;re excited to grow, collaborate and be part of the world&rsquo;s leading delivery platform, we&rsquo;d love to hear from you. Apply today!
We believe diversity and inclusion are key to creating not only an exciting product, but also an amazing customer and employee experience. Fostering this starts with hiring - therefore we do not discriminate on the basis of racial identities, religious beliefs, color, national origin, gender identities or expressions, sexual orientations, age, marital or disability statuses, or any other aspect that makes you, you. 
 
We encourage you to let us know if you need any accommodations or specific accessibility support to ensure a smooth interview experience&mdash;just let us know with an email to our Inclusion Officer at inclusion@deliveryhero.com. 
 
Severely disabled applicants with equal qualifications will be given preferential consideration. 
 
You're welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.<div></div>
We believe diversity and inclusion are key to creating not only an exciting product, but also an amazing customer and employee experience. Fostering this starts with hiring - therefore we do not discriminate on the basis of racial identities, religious beliefs, color, national origin, gender identities or expressions, sexual orientations, age, marital or disability statuses, or any other aspect that makes you, you. 
 
We encourage you to let us know if you need any accommodations or specific accessibility support to ensure a smooth interview experience&mdash;just let us know with an email to our Inclusion Officer at inclusion@deliveryhero.com. 
 
Severely disabled applicants with equal qualifications will be given preferential consideration. 
 
You're welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.</div>

Staff Security Engineer, CSIRT

<div>Company Description 
Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers. talabat&rsquo;s local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region.
We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants and local shops, and provide our riders with reliable earning opportunities daily.
Here at talabat, we are building a high performance culture through engaged workforce and growing talent density. We're all about keeping it real and making a difference. Our 6,000+ strong talabaty are on an awesome mission to spread positive vibes. We are proud to be a multi great place to work award winner. 
Job Description 
As the leading delivery company in the region, we have a great responsibility and opportunity to impact the lives of millions of customers, restaurant partners, and riders. To realize our potential, we need to advance our platform to become much more intelligent in how it understands and serves our users. 
 
As a Senior Analytics Engineer, you will be responsible for transforming raw data into well-structured, reliable, and accessible data models that enable analysts, data scientists, and business stakeholders to make informed decisions. You will work closely with data engineers to build scalable data pipelines and collaborate with analysts to ensure data is actionable and insightful.<ul><li>
Design, build, and maintain clean, efficient, and scalable data models in SQL and dbt. Optimize query performance and data processing efficiency.</li><li>
Ensure data is structured to support self-service analytics and business intelligence.</li><li>
Work closely with data engineers to define data requirements and enhance ETL pipelines.</li><li>
Partner with product analysts, data scientists, and business teams to ensure data meets analytical and reporting needs.</li><li>
Implement and enforce data quality best practices to ensure accuracy and consistency.</li><li>
Develop and maintain data transformation workflows using dbt, SQL, and cloud-based data platforms. Automate data validation and reporting processes.</li><li>
Monitor data integrity and troubleshoot data issues proactively. Advocate for best practices in documentation, testing, and version control.</li></ul> 
Qualifications<ul><li> 
Bachelor's degree in engineering, computer science, technology, or similar fields. A postgraduate degree is a plus but not required.</li><li>
Strong proficiency in Python, SQL and experience with dbt for data modeling.</li><li>
Experience working with cloud-based data warehouses (e.g., Snowflake, BigQuery, GCP, Redshift).</li><li>
Familiarity with version control (Git) and CI/CD practices for data workflows.</li><li>
Understanding of data engineering principles, including ETL/ELT processes.</li></ul></div>

Senior Analytics Engineer

Join Delivery Hero and explore 44   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.