Your Impact

We are looking for a Staff DataOps Engineer to join the Data and ML Platform team.

Your mission will be to shape our data platform strategy and architecture, driving enterprise-scale solutions that accelerate machine learning initiatives, enable engineering excellence, and unlock business insights. You will work in a team at the heart of Doctolib's data-driven transformation, enabling innovation through robust, scalable data infrastructure that empowers engineers, AI teams, and business stakeholders across the organization.

Working in the tech team at Doctolib means building innovative products and features to improve the daily lives of care teams and patients.

What you'll build

Your responsibilities include but are not limited to:

• Design and implement enterprise-scale data infrastructure strategies, conducting thorough impact and cost analysis for major technical decisions, and establishing architectural standards across the organization
• Build and optimize complex, multi-region data pipelines handling petabyte-scale datasets, ensuring 99.9% reliability and implementing advanced monitoring and alerting systems
• Lead cost analysis initiatives, identify optimization opportunities across our data stack, and implement solutions that reduce infrastructure spend while improving performance and reliability
• Provide technical guidance to data engineers and cross-functional teams, conduct architecture reviews, and drive adoption of best practices in DataOps, security, and governance
• Evaluate emerging technologies, conduct proof-of-concepts for new data tools and platforms, and lead the technical roadmap for data infrastructure modernization

What you'll bring

Before you read on: if you don't have the exact profile described below, but you feel this job description matches your skill set, we still encourage you to apply.

You'll be a great fit if you:

• You have 7+ years of experience after graduation as a Staff Data Platform Engineer, Staff DataOps, Staff Site Reliability Engineer, or in a similar role, with a history of architecting and scaling robust data platforms
• You have extensive experience with Google Cloud Platform and a command of Kubernetes & Terraform for automated deployments, and you are an authority on implementing network and IAM security best practices
• You have deep technical proficiency in orchestrating data pipelines using Airflow or Dagster, deploying applications to the cloud, and leveraging modern data warehouses such as BigQuery
• You are highly skilled in programming with Python, and have a solid understanding of software development principles
• You are an excellent troubleshooter who excels at diagnosing and fixing data infrastructure and identifying performance bottlenecks, and a strong communicator who can articulate complex technical concepts to both technical and non-technical audiences

It would be fantastic if you:

• Have hands-on experience building and deploying APIs, with a strong preference for frameworks like FastAPI, and are skilled at designing APIs that provide reliable and efficient access to data
• Have actively applied data governance principles to manage data quality, security, and compliance, and understand how to implement controls that protect sensitive information
• Are experienced with CI/CD tools and methodologies for data-related projects, and can build automated pipelines that streamline development, testing, and deployment
• Have practical experience with cloud cost optimization and FinOps principles, actively experimenting with cost-reduction strategies, and are comfortable analyzing infrastructure spending and optimizing resource allocation

Life at Doctolib Tech

• Our solutions are built on a single fully cloud-native platform that supports web and mobile app interfaces, multiple languages, and is adapted to country and healthcare specialty requirements.
• Our stack is composed of Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native.
• We leverage AI ethically across our products to empower patients and health professionals. Discover our AI vision here.

Want to learn more about our tech culture and environment? Visit the Doctolib Tech site.

What we offer

• Free comprehensive health insurance for you and your children
• 25 days of paid vacation per year, plus up to 14 days of RTT
• Free mental health and coaching services through our partner Moka.care
• Work from abroad for up to 10 days per year thanks to our flexibility days policy
• Lunch vouchers (Swile card) worth €8.50 per working day, with €4.50 covered by Doctolib
• A subsidy from the work council to refund part of the membership to a sport club or a creative class
• 50% reimbursement of your public transport subscription
• Parent Care Program: receive one additional month of leave on top of the legal parental leave
• For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
• Relocation support in case of international mobility
• Access to the best AI tools for coding, development and dedicated training

Our interview process

• Recruiter Interview
• Case Study
• System Design Interview
• Behavioral interview with Hiring Manager
• At least one reference check

We want your experience to be clear, respectful, and transparent. Learn more about our hiring process on our candidate experience page.

Job details

• Permanent position
• Tech stack: Google Cloud Platform, Kubernetes, Terraform, Dagster, BigQuery, dbt
• Full-time
• Paris
• Start date: as soon as possible

We welcome everyone

At Doctolib, we are committed to improving access to healthcare for everyone. This translates into our recruitment process. We evaluate candidates based solely on qualifications and motivation, without any form of discrimination.

The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply to Doctolib, regardless of your gender, religion, age, sexual orientation, ethnicity, or disability.

To ensure equal opportunities, we invite you to exclude personal information (e.g., pictures, age) from your applications. If you require any accommodation, please let us know for support during the hiring process.

Join us in building the healthcare we all dream of!

Your data privacy

All information provided is processed by Doctolib for application management. For data processing details, click here: France. Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights.

Required:

• 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
• Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
• Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
• Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
• Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
• Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
• Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
• A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.

Preferred / Bonus:

• Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
• Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
• Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
• Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
• Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
• Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.

What we offer

• A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
• A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker.
• Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
• Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
• A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people.                  

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 
Refer them! 

Speechify is committed to a diverse and inclusive workplace. 
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Required:

• 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
• Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
• Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
• Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
• Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
• Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
• Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
• A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.

Preferred / Bonus:

• Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
• Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
• Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
• Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
• Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
• Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.

What we offer

• A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
• A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker.
• Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
• Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
• A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people.                  

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 
Refer them! 

Speechify is committed to a diverse and inclusive workplace. 
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

About the job

Design, build, and scale internal AI agents that integrate with company systems, automate workflows, and deliver measurable operational impact.

This is a permanent position (CDI) based in Paris or Bordeaux, with 4 days on-site per week.

Why Now, Why Mirakl

The rise of agentic AI has fundamentally changed what's possible in our team automation. For the first time, AI agents can handle complex, multi-step workflows with minimal human intervention.

Mirakl is uniquely positioned to lead this shift. As an Operating system for intelligent commerce, technology is in our DNA. We've already deployed some AI agents using Dust, n8n, Claude Code and Langchain, and the early results are compelling. Now we need someone to take this from experimentation to internal agent industrialization — designing the system that will power the company of tomorrow.

You won't be joining a company that's thinking about AI. You'll be joining one that's already building it — and you'll be at the center of what comes next.

Who are we looking for?

• Backend Engineer with AI exposure – solid on APIs, reliability, and scalable integrations, with growing experience in LLMs
• Data / Analytics Engineer – strong on data structuring and business use cases, relevant for analytics-driven agents
• ML / Applied AI Engineer – good understanding of LLMs, RAG, and evaluation, with potential to grow on productization

What You’ll Do

1. Design & Build AI Agents

• Create workflow-driven AI agents (e.g., BDR, Contract, Accounting agents)
• Architect multi-step agent systems including prompts, tools, memory, and guardrails
• Rapidly prototype solutions and evolve them into production-grade products

2. Integrate Across the Stack

• Connect agents to internal systems (CRM, data platforms, Drive, Jira, etc.)
• Enable agents to perform real actions (e.g., update CRM, generate reports, create tickets)
• Ensure reliable orchestration between APIs, tools, and data sources

3. Iterate for Impact

• Run pilots with end users and gather qualitative and quantitative feedback
• Analyze usage, errors, and performance metrics
• Continuously improve accuracy, reliability, and user experience

4. Ensure Security & Quality

• Implement robust guardrails, validation layers, and access controls
• Ensure compliance with data security and governance standards
• Clearly document each agent (scope, capabilities, limitations, KPIs, roadmap)

5. Drive Adoption & Enablement

• Build a clean, scalable agent ecosystem for internal users
• Support and educate teams on adopting agents in their workflows
• Contribute to internal best practices and agent-building standards
• Act as a champion for AI-driven ways of working

Collaborative: you work hand-in-hand with our process owners, the Solution architect and the Data team.     

Our stack and tools:

• GenAI APIs: OpenAI, Anthropic, Mistral, Gemini
• Agent & Automation Tools: n8n, Dust, Claude
• Cloud: AWS or GCP

What Makes You Successful

• Strong product mindset: able to identify friction and design practical solutions
• Ability to turn ambiguous problems into structured, automated workflows
• Focus on measurable impact, not just technical output

Success Metrics

• Adoption: number of agents actively used and delivering value
• Automation rate: % of tasks completed without human intervention
• Performance: accuracy, reliability, and user satisfaction
• Business impact: time saved, quality improvements, operational efficiency

You'll Love This Job If you have 

• 3 to 5 years of experience as a Data Scientist, ML Engineer, or Software Engineer, with a background in backend/full-stack development, data, or automation workflows
• Proven experience building AI agents using LLMs, RAG, MCP and related technologies, including architectural design of multi-step agentic workflows
• Proficient in Python and data fundamentals (SQL, JSON, data modeling)
• Production deployment expertise, you've shipped AI solutions in production
• Experience with API integrations, MCP, webhooks, and connectors
• Experience with low-code/no-code automation platforms (n8n, Make, Zapier or equivalent)
• Curiosity and continuous learning, you stay current with AI/ML trends and love exploring new technologies
• Strong communication skills in both English and French

Feel free to add a link to your GitHub in your CV so we can understand what you have worked on!

Want to join us? Here is our process 

• A 40-minute phone conversation with one of our Tech recruiters. This will be an opportunity to discuss your background, expectations, and discover what Mirakl can offer you in return.
• An initial 1 hour technical discussion with a member of the Data Science team and Engineering Team, which will allow you to delve into the more specific aspects of your expertise and discover how your skills can be integrated into our projects.
• 2 x 45-minute "STAR" interviews with future Mirakl colleagues to discuss our values and company culture.

 Our Engineering team lies at the core of the value we offer to our customers. We solve complex problems not only within our squads but also by working collaboratively with other teams across the organization.

We’re reshaping the way data drives decision-making by building powerful, scalable software and data platforms. Whether you're passionate about distributed systems, building APIs, or enabling data-driven insights, you'll find exciting opportunities here.

Our tech stack includes .NET Core (C#), Python, MS SQL Server, ElasticSearch, Spark, Azure Data Factory (ADF), GoodData, Terraform and more. We are also progressing towards distributed data systems on cloud platforms, with exciting challenges in both bulk and real-time processing.

WHAT YOU'LL DO

• Your technical expertise and autonomy will allow you to design and implement scalable, intuitive features across our platform.
• Build and maintain high-performance data pipelines, contributing to a robust data and application architecture.
• Collaborate closely with cross-functional teams including Data Scientists, Engineers, and Product Managers to deliver impactful solutions.
• Operate and enhance our data infrastructure, ensuring seamless data movement across platforms.
• Support the evaluation and integration of tools that empower engineering and data science teams.

WHAT YOU BRING

• 5+ years of experience in software development or data engineering in cloud-based environments.
• Strong programming skills in Python, with a solid grasp of OOP principles - C# programming experience would be nice to have
• Very good grasp of Infra-as-Code (IaC) and Terraform
• Proficiency in data transformation and processing tools (e.g. PySpark, dbt).
• Experience designing scalable and robust data platforms.
• Familiarity with data modeling techniques (e.g., star schema, data vault).
• Experience with distributed data systems and Database optimization
• Comfortable working with NoSQL data stores and SQL Server.
• Experience in ETL processes and orchestration tools like Apache Airflow etc
• A passion for continuous learning, mentoring, and solving complex problems.
• Excellent communication skills in English.

HIRING PROCESS

• HR Screening
• Hiring manager Screening
• Technical Screening with an Architect
• Second Technical Screening with a Tech Lead or Data Engineer
• Final Round with Hiring Manager

#LI-RH1 #LI-HYBRID 

Required:

• 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
• Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
• Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
• Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
• Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
• Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
• Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
• A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.

Preferred / Bonus:

• Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
• Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
• Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
• Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
• Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
• Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.

What we offer

• A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
• A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker.
• Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
• Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
• A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people.                  

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 
Refer them! 

Speechify is committed to a diverse and inclusive workplace. 
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Required:

• 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
• Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
• Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
• Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
• Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
• Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
• Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
• A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.

Preferred / Bonus:

• Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
• Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
• Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
• Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
• Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
• Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.

What we offer

• A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
• A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker.
• Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
• Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
• A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people.                  

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 
Refer them! 

Speechify is committed to a diverse and inclusive workplace. 
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Required:

• 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
• Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
• Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
• Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
• Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
• Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
• Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
• A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.

Preferred / Bonus:

• Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
• Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
• Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
• Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
• Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
• Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.

What we offer

• A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
• A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker.
• Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
• Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
• A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people.                  

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 
Refer them! 

Speechify is committed to a diverse and inclusive workplace. 
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

SUMMARY

WHAT YOU’LL DO

• Lead threat modeling and security review exercises across Wiz’s production and CI/CD environments – identifying and mitigating risks in our products and the cloud services that support them 
• Drive vulnerability management and remediation efforts – prioritizing issues, implementing mitigations, and designing strategic preventative controls 
• Extend our detection and response capabilities – building scalable solutions to identify malicious activity, triage alerts, and investigate and remediate incidents  
• Build deep functional partnerships with Wiz’s engineering and operations teams – helping them deliver secure-by-design solutions 

WHAT YOU’LL BRING

• 5+ years of experience in security engineering or security operations work in cloud environments, with a focus on a combination of the below: 
• AWS platforms and services (we will also consider equivalent experience in Azure and GCP) 
• Kubernetes (AWS EKS) and container infrastructure 
• IAM and managing cloud identities at-scale 
• Secure development and application of IAC solutions (Terraform, Helm) 
• Cloud-native observability and management tools 
• Development experience in Go, Python and Rust

PREFERRED QUALIFICATIONS

• Bachelor's degree in computer science or a related field and / or candidates with equivalent job experience in lieu of a degree 
• Experience working with remote, globally distributed teams  
• Experience working in organizations that develop software and / or operate managed infrastructure and technology services for their own customers   
• Experience with CNAPP, CSPM, or CIEM solutions

#LI-Remote

Purpose of position
At Awin, data is central to everything we do, and protecting it is mission‑critical. As a Senior Data Security Engineer (f/m/d) you will be responsible for building and operating Awin’s data security capability as a dedicated discipline. In this senior, implementation-led role, you will lead the implementation of Awin's data loss prevention controls and data security posture management across a complex hybrid environment spanning AWS, Azure, and third‑party SaaS platforms.

In this position, you will own data security tooling and controls within the Information Security function, working in close partnership with the Security Architect to engineer solutions that align with Awin frameworks and reference architectures, while engaging directly with technical and data governance teams to ensure that security requirements integrate coherently with the broader data strategy.

Your location: Berlin, Munich, Madrid, Warsaw, London, Milan, Iași, Stockholm, or Paris

Key Tasks

• Architect and implement Awin's data security framework in partnership with the Security Architect. Build and operationalise the classification taxonomy, sensitivity tiers, and data handling standards that will underpin all downstream DLP, DSPM, and AI governance controls.
• Support the implementation of Awin's data classification programme —labelling policies, and classification coverage across all data environment where sensitive data is processed or stored.
• Own the implementation of DLP policies that prevent sensitive data from being shared, exported, or transmitted in breach of Awin's confidentiality risk appetite. Define policy architecture, alert thresholds, and enforcement logic. Work with Internal IT on deployment and tuning, and maintain audit-ready records of DLP events and enforcement actions.
• Operationalise data security posture management tooling to provide visibility and control over how sensitive data flows to AI tools and third-party services. Ensure that AI data governance controls are technically enforceable, supporting Awin's AI risk appetite statements and the requirements of the AI governance framework.
• Act as the data security domain expert for the Security Architecture function. Work closely with the Security Architect to provide specialist input into architecture reviews, product designs, and technology assessments where data security considerations are material.
• Engage directly with stakeholders to understand how sensitive data flows across the organisation, and to ensure that data security requirements integrate coherently with the broader data governance framework.

Skills & Expertise

• Demonstrable experience in a dedicated, senior data security role, with a proven track record of designing and implementing data classification frameworks and DLP programmes in complex, multi-cloud or hybrid environments
• Hands-on experience with DLP policy architecture, implementation, and tuning across endpoint, network, and cloud channels, including data classification tooling (sensitivity label schema, sensitive information types, auto-labelling policies)
• Solid understanding of cloud data environments — AWS, Azure, M365 — including where sensitive data resides and how it moves, and working knowledge of CASB concepts and how they complement DLP controls
• Experience engaging with data engineering, data architecture, or data governance teams, with sufficient breadth across data cataloguing, lineage, and access governance to position data security as an enabler rather than a constraint
• Exposure to security architecture processes — architecture reviews, reference architecture development, and architectural decision-making — and an understanding of how AI services handle and retain data, with awareness of AI governance and DSPM as an emerging area of responsibility
• Working knowledge of GDPR obligations and how regulatory requirements translate into technical controls
• Able to operate with a high degree of autonomy in ambiguous, evolving environments — this role is building a capability from a fragmented baseline and requires someone who can design, iterate, and adapt without waiting for direction
• Strong credibility with senior technical stakeholders and clear communication across audiences — able to engage as a peer with the Security Architect and data professionals, and translate complex requirements into practical guidance for non-technical stakeholders
• Some familiarity with Microsoft Purview DataShield policy orchestration across hybrid environments would be helpful

Our Offer

• Flexi-Week and Work-Life Balance: We prioritise your mental health and well-being, offering you a flexible four-day Flexi-Week at full pay and with no reduction to your annual holiday allowance. We also offer a variety of different paid special leaves as well as volunteer days.
• Remote Working Allowance: You will receive a monthly allowance to cover part of your running costs. In addition, we will support you in setting up your remote workspace appropriately.
• Pension: Awin offers access to an additional pension insurance to all employees in Germany.
• Flexi-Office: We offer an international culture and flexibility through our Flexi-Office and hybrid/remote work possibilities to work across Awin regions
• Development: We’ve built our extensive training suite Awin Academy to cover a wide range of skills that nurture you professionally and personally, with trainings conveniently packaged together to support your overall development.
• Appreciation: Thank and reward colleagues by sending them a voucher through our peer-to-peer program

Established in 2000, Awin is proud of our dynamic, social and inclusive culture.

Like all businesses, we’ve had to adapt and nurture our culture in a virtual environment. Our virtual ‘Life @ Awin’ hub brings our colleagues from across the globe together for various social activities.

Diversity & Inclusion are paramount to us, and we proudly pursue and hire diverse team members. We champion uniqueness and authenticity; this is who we are at our core. Our network of affiliate partnerships are diverse and transparent, as are the employees powering our vision to build the world’s leading open partner ecosystem. We welcome all backgrounds, identities, and experiences. If you need support at any point in the application or interview process, please let us know.

Awin is part of the Axel Springer group. Learn more at axelspringer.com/en/, and explore the Axel Springer Essentials here: axelspriger.com/en/inside/the-essentials-what-we-have-adapted-and-why  

Apply now to begin the next stage of your career at a progressive company that supports both your professional and personal development.

#LI-AM1

Purpose of position
At Awin, data is central to everything we do, and protecting it is mission‑critical. As a Senior Data Security Engineer (f/m/d) you will be responsible for building and operating Awin’s data security capability as a dedicated discipline. In this senior, implementation-led role, you will lead the implementation of Awin's data loss prevention controls and data security posture management across a complex hybrid environment spanning AWS, Azure, and third‑party SaaS platforms.

In this position, you will own data security tooling and controls within the Information Security function, working in close partnership with the Security Architect to engineer solutions that align with Awin frameworks and reference architectures, while engaging directly with technical and data governance teams to ensure that security requirements integrate coherently with the broader data strategy.

Your location: Berlin, Munich, Madrid, Warsaw, London, Milan, Iași, Stockholm, or Paris

Key Tasks

• Architect and implement Awin's data security framework in partnership with the Security Architect. Build and operationalise the classification taxonomy, sensitivity tiers, and data handling standards that will underpin all downstream DLP, DSPM, and AI governance controls.
• Support the implementation of Awin's data classification programme —labelling policies, and classification coverage across all data environment where sensitive data is processed or stored.
• Own the implementation of DLP policies that prevent sensitive data from being shared, exported, or transmitted in breach of Awin's confidentiality risk appetite. Define policy architecture, alert thresholds, and enforcement logic. Work with Internal IT on deployment and tuning, and maintain audit-ready records of DLP events and enforcement actions.
• Operationalise data security posture management tooling to provide visibility and control over how sensitive data flows to AI tools and third-party services. Ensure that AI data governance controls are technically enforceable, supporting Awin's AI risk appetite statements and the requirements of the AI governance framework.
• Act as the data security domain expert for the Security Architecture function. Work closely with the Security Architect to provide specialist input into architecture reviews, product designs, and technology assessments where data security considerations are material.
• Engage directly with stakeholders to understand how sensitive data flows across the organisation, and to ensure that data security requirements integrate coherently with the broader data governance framework.

Skills & Expertise

• Demonstrable experience in a dedicated, senior data security role, with a proven track record of designing and implementing data classification frameworks and DLP programmes in complex, multi-cloud or hybrid environments
• Hands-on experience with DLP policy architecture, implementation, and tuning across endpoint, network, and cloud channels, including data classification tooling (sensitivity label schema, sensitive information types, auto-labelling policies)
• Solid understanding of cloud data environments — AWS, Azure, M365 — including where sensitive data resides and how it moves, and working knowledge of CASB concepts and how they complement DLP controls
• Experience engaging with data engineering, data architecture, or data governance teams, with sufficient breadth across data cataloguing, lineage, and access governance to position data security as an enabler rather than a constraint
• Exposure to security architecture processes — architecture reviews, reference architecture development, and architectural decision-making — and an understanding of how AI services handle and retain data, with awareness of AI governance and DSPM as an emerging area of responsibility
• Working knowledge of GDPR obligations and how regulatory requirements translate into technical controls
• Able to operate with a high degree of autonomy in ambiguous, evolving environments — this role is building a capability from a fragmented baseline and requires someone who can design, iterate, and adapt without waiting for direction
• Strong credibility with senior technical stakeholders and clear communication across audiences — able to engage as a peer with the Security Architect and data professionals, and translate complex requirements into practical guidance for non-technical stakeholders
• Some familiarity with Microsoft Purview DataShield policy orchestration across hybrid environments would be helpful

Our Offer

• Flexi-Week and Work-Life Balance: We prioritise your mental health and well-being, offering you a flexible four-day Flexi-Week at full pay and with no reduction to your annual holiday allowance. We also offer a variety of different paid special leaves as well as volunteer days.
• Remote Working Allowance: You will receive a monthly allowance to cover part of your running costs. In addition, we will support you in setting up your remote workspace appropriately.
• Pension: Awin offers access to an additional pension insurance to all employees in Germany.
• Flexi-Office: We offer an international culture and flexibility through our Flexi-Office and hybrid/remote work possibilities to work across Awin regions
• Development: We’ve built our extensive training suite Awin Academy to cover a wide range of skills that nurture you professionally and personally, with trainings conveniently packaged together to support your overall development.
• Appreciation: Thank and reward colleagues by sending them a voucher through our peer-to-peer program

Established in 2000, Awin is proud of our dynamic, social and inclusive culture.

Like all businesses, we’ve had to adapt and nurture our culture in a virtual environment. Our virtual ‘Life @ Awin’ hub brings our colleagues from across the globe together for various social activities.

Diversity & Inclusion are paramount to us, and we proudly pursue and hire diverse team members. We champion uniqueness and authenticity; this is who we are at our core. Our network of affiliate partnerships are diverse and transparent, as are the employees powering our vision to build the world’s leading open partner ecosystem. We welcome all backgrounds, identities, and experiences. If you need support at any point in the application or interview process, please let us know.

Awin is part of the Axel Springer group. Learn more at axelspringer.com/en/, and explore the Axel Springer Essentials here: axelspriger.com/en/inside/the-essentials-what-we-have-adapted-and-why  

Apply now to begin the next stage of your career at a progressive company that supports both your professional and personal development.

#LI-AM1

As a Fullstack Engineer, you will join our core Engineering team to build complete designs for applications and features that deliver direct value to our customers. You will solve complex technical challenges by working within your squad and collaborating across the organization with Data Scientists, QA, and Product Managers. Your focus will be on delivering high-performance, scalable, and quality solutions that modernize our platform. This role is essential for driving the technical migrations and architectural improvements that power Shift’s mission.

What Your Impact Looks Like

At Shift, we value ownership from day one. In this role, you will:

• Jump In & Own It: 
• Take full ownership of technical tasks and resolve delivery blockers promptly without waiting for direction.
• Design and implement intuitive user interfaces to collect and review information.
• Build and maintain robust APIs that automate decision-making processes.
• Simplify the Complex: Design, write and test (from unit to end-to-end) clear, clean, well-structured C# and React code that is easy for others to maintain. 
• Test, Learn, Scale: 
• Contribute to technical migrations, modernization efforts, and architectural improvements as our platforms evolve.
• Experiment with new frameworks and use retrospectives to identify opportunities to improve delivery speed and quality.
• Communicate with Impact: Share progress and technical trade-offs clearly during stand-ups, adapting the detail for both peers and stakeholders.
• Solve Without Drama: Address production incidents and bugs calmly and methodically, focusing on root causes and long-term solutions.
• Finish what you start: Demonstrate reliability by validating that all code meets user needs and is fully documented before moving to new work.

We work with modern technologies and always encourage our team to explore what’s new in the market. Our main tools are:

• Frontend: React/Redux/TS/Vanilla Extract/LESS/Dev Container with Vite
• Backend: ASP.NET, C#, MSSQL, Elasticsearch
• IDE: your choice - Rider, VS Code, or Visual Studio + Resharper
• Cloud: Microsoft Azure
• Foundational toolchain: GitHub Enterprise, GHAS, GH Copilot + coding agent
• CI/CD: GitHub Actions / TeamCity, Cypress, GH Packages (npm, NuGet), Octopus
• Collaboration: Slack, Jira, Confluence

What You'll Need to Succeed

We are looking for a Shifter who is:

• C# Expert: You have 2 to 6 years of experience in software development with a deep, production-level mastery of C# and .NET.
• Fullstack-Capable: You are comfortable across the stack and have hands-on experience with React or modern JavaScript frameworks.
• Architecturally Minded: You don’t just write code; you design scalable, maintainable systems and write clean, testable logic.
• Growth-Oriented: You have a test-and-learn mindset, actively exploring new tools and frameworks to improve performance and quality.
• Impact-Driven: You focus on outcomes over output, taking full ownership of your tasks from initial design to production monitoring.
• Collaborative & Clear: You are a fluent English speaker who can explain technical trade-offs simply and partner effectively with cross-functional squads.

• 30-minute video interview with our Talent Acquisition Specialist
• 2x 1-hour technical interviews, one with a Backend dev and one with a Frontend dev
• 1-hour final interview with the Hiring Manager

#LI-RH1 #LI-HYBRID 

About the job

Design, build, and scale internal AI agents that integrate with company systems, automate workflows, and deliver measurable operational impact.

This is a Freelance position based in Paris or Bordeaux, with 4 days on-site per week.

Why Now, Why Mirakl

The rise of agentic AI has fundamentally changed what's possible in our team automation. For the first time, AI agents can handle complex, multi-step workflows with minimal human intervention.

Mirakl is uniquely positioned to lead this shift. As an Operating system for intelligent commerce, technology is in our DNA. We've already deployed some AI agents using Dust, n8n, Claude Code and Langchain, and the early results are compelling. Now we need someone to take this from experimentation to internal agent industrialization — designing the system that will power the company of tomorrow.

You won't be joining a company that's thinking about AI. You'll be joining one that's already building it — and you'll be at the center of what comes next.

Who are we looking for?

Backend Engineer with AI exposure – solid on APIs, reliability, and scalable integrations, with growing experience in LLMs
Data / Analytics Engineer – strong on data structuring and business use cases, relevant for analytics-driven agents
ML / Applied AI Engineer – good understanding of LLMs, RAG, and evaluation, with potential to grow on productization

What You’ll Do

1. Design & Build AI Agents

• Create workflow-driven AI agents (e.g., BDR, Contract, Accounting agents)
• Architect multi-step agent systems including prompts, tools, memory, and guardrails
• Rapidly prototype solutions and evolve them into production-grade products

2. Integrate Across the Stack

• Connect agents to internal systems (CRM, data platforms, Drive, Jira, etc.)
• Enable agents to perform real actions (e.g., update CRM, generate reports, create tickets)
• Ensure reliable orchestration between APIs, tools, and data sources

3. Iterate for Impact

• Run pilots with end users and gather qualitative and quantitative feedback
• Analyze usage, errors, and performance metrics
• Continuously improve accuracy, reliability, and user experience

4. Ensure Security & Quality

• Implement robust guardrails, validation layers, and access controls
• Ensure compliance with data security and governance standards
• Clearly document each agent (scope, capabilities, limitations, KPIs, roadmap)

5. Drive Adoption & Enablement

• Build a clean, scalable agent ecosystem for internal users
• Support and educate teams on adopting agents in their workflows
• Contribute to internal best practices and agent-building standards
• Act as a champion for AI-driven ways of working

Collaborative: you work hand-in-hand with our process owners, the Solution architect and the Data team.     

Our stack and tools:

• GenAI APIs: OpenAI, Anthropic, Mistral, Gemini
• Agent & Automation Tools: n8n, Dust, Claude
• Cloud: AWS or GCP

What Makes You Successful

• Strong product mindset: able to identify friction and design practical solutions
• Ability to turn ambiguous problems into structured, automated workflows
• Focus on measurable impact, not just technical output

Success Metrics

• Adoption: number of agents actively used and delivering value
• Automation rate: % of tasks completed without human intervention
• Performance: accuracy, reliability, and user satisfaction
• Business impact: time saved, quality improvements, operational efficiency

You'll Love This Job If you have 

• 3 to 5 years of experience as a Data Scientist, ML Engineer, or Software Engineer, with a background in backend/full-stack development, data, or automation workflows
• Proven experience building AI agents using LLMs, RAG, MCP and related technologies, including architectural design of multi-step agentic workflows
• Proficient in Python and data fundamentals (SQL, JSON, data modeling)
• Production deployment expertise, you've shipped AI solutions in production
• Experience with API integrations, MCP, webhooks, and connectors
• Experience with low-code/no-code automation platforms (n8n, Make, Zapier or equivalent)
• Curiosity and continuous learning, you stay current with AI/ML trends and love exploring new technologies
• Strong communication skills in both English and French

Feel free to add a link to your GitHub in your CV so we can understand what you have worked on!

Want to join us? Here is our process 

• A 30-minute phone conversation with one of our Tech recruiters. This will be an opportunity to discuss your background, expectations, and discover what Mirakl can offer you in return.
• An initial 1 hour technical discussion with a member of the Data Science team and Engineering Team, which will allow you to delve into the more specific aspects of your expertise and discover how your skills can be integrated into our projects.
• 2 x 45-minute "STAR" interviews with future Mirakl colleagues to discuss our values and company culture.

About the job

Design, build, and scale internal AI agents that integrate with company systems, automate workflows, and deliver measurable operational impact.

This is a permanent position (Freelance) based in Paris or Bordeaux, with 4 days on-site per week.

Why Now, Why Mirakl

The rise of agentic AI has fundamentally changed what's possible in our team automation. For the first time, AI agents can handle complex, multi-step workflows with minimal human intervention.

Mirakl is uniquely positioned to lead this shift. As an Operating system for intelligent commerce, technology is in our DNA. We've already deployed some AI agents using Dust, n8n, Claude Code and Langchain, and the early results are compelling. Now we need someone to take this from experimentation to internal agent industrialization — designing the system that will power the company of tomorrow.

You won't be joining a company that's thinking about AI. You'll be joining one that's already building it — and you'll be at the center of what comes next.

Who are we looking for?

Backend Engineer with AI exposure – solid on APIs, reliability, and scalable integrations, with growing experience in LLMs
Data / Analytics Engineer – strong on data structuring and business use cases, relevant for analytics-driven agents
ML / Applied AI Engineer – good understanding of LLMs, RAG, and evaluation, with potential to grow on productization

What You’ll Do

1. Design & Build AI Agents

• Create workflow-driven AI agents (e.g., BDR, Contract, Accounting agents)
• Architect multi-step agent systems including prompts, tools, memory, and guardrails
• Rapidly prototype solutions and evolve them into production-grade products

2. Integrate Across the Stack

• Connect agents to internal systems (CRM, data platforms, Drive, Jira, etc.)
• Enable agents to perform real actions (e.g., update CRM, generate reports, create tickets)
• Ensure reliable orchestration between APIs, tools, and data sources

3. Iterate for Impact

• Run pilots with end users and gather qualitative and quantitative feedback
• Analyze usage, errors, and performance metrics
• Continuously improve accuracy, reliability, and user experience

4. Ensure Security & Quality

• Implement robust guardrails, validation layers, and access controls
• Ensure compliance with data security and governance standards
• Clearly document each agent (scope, capabilities, limitations, KPIs, roadmap)

5. Drive Adoption & Enablement

• Build a clean, scalable agent ecosystem for internal users
• Support and educate teams on adopting agents in their workflows
• Contribute to internal best practices and agent-building standards
• Act as a champion for AI-driven ways of working

Collaborative: you work hand-in-hand with our process owners, the Solution architect and the Data team.     

Our stack and tools:

• GenAI APIs: OpenAI, Anthropic, Mistral, Gemini
• Agent & Automation Tools: n8n, Dust, Claude
• Cloud: AWS or GCP
• (Optional): LangChain, LlamaIndex
  
  

What Makes You Successful

• Strong product mindset: able to identify friction and design practical solutions
• Ability to turn ambiguous problems into structured, automated workflows
• Focus on measurable impact, not just technical output

Success Metrics

• Adoption: number of agents actively used and delivering value
• Automation rate: % of tasks completed without human intervention
• Performance: accuracy, reliability, and user satisfaction
• Business impact: time saved, quality improvements, operational efficiency

You'll Love This Job If you have 

• 3 to 5 years of experience as a Data Scientist, ML Engineer, or Software Engineer, with a background in backend/full-stack development, data, or automation workflows
• Proven experience building AI agents using LLMs, RAG, MCP and related technologies, including architectural design of multi-step agentic workflows
• Proficient in Python and data fundamentals (SQL, JSON, data modeling)
• Production deployment expertise, you've shipped AI solutions in production
• Experience with API integrations, MCP, webhooks, and connectors
• Experience with low-code/no-code automation platforms (n8n, Make, Zapier or equivalent)
• Curiosity and continuous learning, you stay current with AI/ML trends and love exploring new technologies
• Strong communication skills in both English and French

Feel free to add a link to your GitHub in your CV so we can understand what you have worked on!

Want to join us? Here is our process 

• A 40-minute phone conversation with one of our Tech recruiters. This will be an opportunity to discuss your background, expectations, and discover what Mirakl can offer you in return.
• An initial 1 hour technical discussion with a member of the Data Science team and Engineering Team, which will allow you to delve into the more specific aspects of your expertise and discover how your skills can be integrated into our projects.
• 2 x 45-minute "STAR" interviews with future Mirakl colleagues to discuss our values and company culture.

About the job

Design, build, and scale internal AI agents that integrate with company systems, automate workflows, and deliver measurable operational impact.

This is a permanent position (CDI) based in Paris or Bordeaux, with 4 days on-site per week.

Why Now, Why Mirakl

The rise of agentic AI has fundamentally changed what's possible in our team automation. For the first time, AI agents can handle complex, multi-step workflows with minimal human intervention.

Mirakl is uniquely positioned to lead this shift. As an Operating system for intelligent commerce, technology is in our DNA. We've already deployed some AI agents using Dust, n8n, Claude Code and Langchain, and the early results are compelling. Now we need someone to take this from experimentation to internal agent industrialization — designing the system that will power the company of tomorrow.

You won't be joining a company that's thinking about AI. You'll be joining one that's already building it — and you'll be at the center of what comes next.

Who are we looking for?

Backend Engineer with AI exposure – solid on APIs, reliability, and scalable integrations, with growing experience in LLMs

Data / Analytics Engineer – strong on data structuring and business use cases, relevant for analytics-driven agents

ML / Applied AI Engineer – good understanding of LLMs, RAG, and evaluation, with potential to grow on productization

What You’ll Do

1. Design & Build AI Agents

• Create workflow-driven AI agents (e.g., BDR, Contract, Accounting agents)
• Architect multi-step agent systems including prompts, tools, memory, and guardrails
• Rapidly prototype solutions and evolve them into production-grade products

2. Integrate Across the Stack

• Connect agents to internal systems (CRM, data platforms, Drive, Jira, etc.)
• Enable agents to perform real actions (e.g., update CRM, generate reports, create tickets)
• Ensure reliable orchestration between APIs, tools, and data sources

3. Iterate for Impact

• Run pilots with end users and gather qualitative and quantitative feedback
• Analyze usage, errors, and performance metrics
• Continuously improve accuracy, reliability, and user experience

4. Ensure Security & Quality

• Implement robust guardrails, validation layers, and access controls
• Ensure compliance with data security and governance standards
• Clearly document each agent (scope, capabilities, limitations, KPIs, roadmap)

5. Drive Adoption & Enablement

• Build a clean, scalable agent ecosystem for internal users
• Support and educate teams on adopting agents in their workflows
• Contribute to internal best practices and agent-building standards
• Act as a champion for AI-driven ways of working

Collaborative: you work hand-in-hand with our process owners, the Solution architect and the Data team.     

Our stack and tools:

• GenAI APIs: OpenAI, Anthropic, Mistral, Gemini
• Agent & Automation Tools: n8n, Dust, Claude
• Cloud: AWS or GCP

What Makes You Successful

• Strong product mindset: able to identify friction and design practical solutions
• Ability to turn ambiguous problems into structured, automated workflows
• Focus on measurable impact, not just technical output
  
  

Success Metrics

• Adoption: number of agents actively used and delivering value
• Automation rate: % of tasks completed without human intervention
• Performance: accuracy, reliability, and user satisfaction
• Business impact: time saved, quality improvements, operational efficiency

You'll Love This Job If you have 

• 3 to 5 years of experience as a Data Scientist, ML Engineer, or Software Engineer, with a background in backend/full-stack development, data, or automation workflows
• Proven experience building AI agents using LLMs, RAG, MCP and related technologies, including architectural design of multi-step agentic workflows
• Proficient in Python and data fundamentals (SQL, JSON, data modeling)
• Production deployment expertise, you've shipped AI solutions in production
• Experience with API integrations, MCP, webhooks, and connectors
• Experience with low-code/no-code automation platforms (n8n, Make, Zapier or equivalent)
• Curiosity and continuous learning, you stay current with AI/ML trends and love exploring new technologies
• Strong communication skills in both English and French

Feel free to add a link to your GitHub in your CV so we can understand what you have worked on!

Want to join us? Here is our process 

• A 40-minute phone conversation with one of our Tech recruiters. This will be an opportunity to discuss your background, expectations, and discover what Mirakl can offer you in return.
• An initial 1 hour technical discussion with a member of the Data Science team and Engineering Team, which will allow you to delve into the more specific aspects of your expertise and discover how your skills can be integrated into our projects.
• 2 x 45-minute "STAR" interviews with future Mirakl colleagues to discuss our values and company culture.

ABOUT THE ENGINEERING TEAM

Our Engineering team lies at the core of the value we offer to our customers. We solve complex problems by working not only within our squads, but also by working collaboratively with other teams across the organization. 

Our tech stack includes .Net core (C#), Python, Cosmos DB, Service Bus, and more. If you are excited by solving complex technical challenges, this is the right place for you!

WHAT YOUR TEAM DOES...

You would join an internal squad in charge of building the foundations to help other squads to develop / deploy / monitor / secure their services. The team also develops transversal services such as the config service, uploads documents and monitors the Software Development Kit (SDK).

WHAT YOU'LL DO...

• As a .NET C# Software Developer, your technical knowledge and autonomy will let you build complete designs for our applications and features.
• You'll design and implement intuitive, scalable components that drive efficiency across our platform.

WHAT YOU BRING...

• You have a first experience in software development.
• You have used an OOP language, and ideally C# .Net 
• You have a good understanding of Microsoft Azure
• You are able to build and modify high-performance APIs and program
• Bonus: 
• Knowledge of Cosmos DB and Service Bus
• Knowledge and understanding of AI/ML Fundamentals

RECRUITMENT PROCESS

• HR Screening
• Technical Screening with a Back-end engineer
• Final Round with Hiring Manager 

#LI-RH1 #LI-REMOTE

As a member of Shift Technology’s QA team, part of the greater Tech team, you will be working on the whole QA process implementation on the Shift Technical platform (the core of all our products!).

We are looking for 2 different profiles here:

• One junior freshly graduated QA Engineer
• One mid-level QA Engineer with 3 to 5 years of experience

More specifically in this role you will:

• Understand our clients need and establish the relevant test strategy to ensure that the product will fit
• Be ready to follow-up and test new Features with development is split between different Teams
• Identify and implement automated tests with development teams in Agile cycle
• Identify and implement automated tests in the QA validation phase
• Create and lead comprehensive test campaigns on your product
• Communicate with different teams (Developers, Data Scientists, Product Owners)
• Participate to comprehensive test campaigns on different products
• Drive and help to establish best practices and testing processes by promoting the “test culture” inside the company

WHAT WE ARE LOOKING FOR

• Min. Bachelor of Science Degree in Electrical Engineering or Computer Science; or equivalent experience is required
• You have about 1-5 years of experience in QA and test automation
• You are ISTQB foundation certified, or about to
• Programming or Scripting experience (ie: Web UI, API, Data Pipelines) 
• Familiarity with QA tools and techniques, bug tracking systems, test design and execution, test case management tools
• Ability to identify and clearly document issues for resolution
• Nice to have experience with at least one of UI tests, backend tests, API tests, performance tests, stress tests and Automation
• Ability to work collaboratively within a team environment of engineers to meet aggressive goals and high quality standard
• Must be team focused, excellent communicator and collaborative demonstrated experience working with cross functional teams
• Demonstrated ability to have completed multiple, complex technical projects
• Excellent communication and working proficiency in English and in French

RECRUITMENT PROCESS

• Phone Screening ( 30 min.)
• Interview with QA Engineer (1 hour)
• Interview with  Dev Team Lead (30-45min)
• Interview with Hiring Manager (1 Hour)

#LI-RH1 #LI-HYBRID 

As a member of Shift Technology’s QA team, part of the greater tech team, you will be working on the whole QA process implementation on the Shift Technical platform (the core of all our products!).

WHAT YOU'LL DO

• Understand our clients need and establish the relevant test strategy to ensure that the product will fit
• Be part of a developers team in Agile cycle to test new features and ensure the quality of the product: Analyse test results and coordinate with development teams for bug fixes.
• Organize and plan integration tests between different components and services
• Identify and implement automated tests with development teams in Agile cycle
• Identify and implement automated tests in the QA validation phase
• Identify and setup automation frameworks for new type of tests
• Create and lead comprehensive test campaigns on your product
• Communicate with different teams (Developers, Data Scientists, Product Owners, Project managers)
• Organize and participate to comprehensive test campaigns on different products
• Drive and help to establish best practices and testing processes by promoting the “test culture” inside the company

WHAT YOU BRING

• Min. Bachelor of Science Degree in Electrical Engineering or Computer Science; or equivalent experience is required
• You have about 3 to 4 years of experience in QA and test automation
• You are ISTQB foundation certified
• Experience with at least one of backend tests, API tests, performance tests, stress tests and Automation
• Experience with micro-services testing is a big plus
• Programming experience (ie: Web UI, API, Data Pipelines), in any language, is a big plus
• Familiarity with QA tools and techniques, bug tracking systems, test design and execution, test case management tools
• Ability to identify and clearly document issues for resolution
• Ability to work collaboratively within a team environment of engineers to meet aggressive goals and high quality standard
• Must be team focused, excellent communicator and collaborative demonstrated experience working with cross functional teams
• Demonstrated ability to have completed multiple, complex technical projects
• Excellent communication and working proficiency in English and in French.

RECRUITMENT PROCESS

• Phone Screening ( 30 min.)
• Interview with QA Engineer (1 hour)
• Interview with  Dev Team Lead (30-45min)
• Interview with Hiring QA Manager (1 Hour)

Our Engineering team lies at the core of the value we offer to our customers. We solve complex problems not only within our squads but also by working collaboratively with other teams across the organization.

We’re reshaping the way data drives decision-making by building powerful, scalable software and data platforms. Whether you're passionate about distributed systems, building APIs, or enabling data-driven insights, you'll find exciting opportunities here.

Our tech stack includes .NET Core (C#), Python, MS SQL Server, Spark, Azure Data Factory (ADF), Databricks, GoodData , Terraform and more. We are also progressing towards distributed data systems on cloud platforms, with exciting challenges in both batch and real-time processing.

WHAT YOU'LL DO

• Develop and maintain scalable data models and data access layer frameworks that serve as the foundation for centralized databases and downstream applications.
• Build and optimize ETL pipelines to ingest, transform, and integrate various data sources, ensuring data consistency, quality, and availability, leveraging Apache Spark, .NET libraries, Azure Data Factory, DBT.
• Contribute to Agile development processes by participating in sprint planning, stand-ups, and retrospectives to ensure continuous delivery and alignment with team goals.
• Collaborate closely with the product team to translate roadmap priorities into technical designs and deliverables that meet business and customer needs.
• Work hand-in-hand with Data Scientists ,Engineers to create and enhance frameworks that simplify customer data integration and support advanced analytics 
• Participate in code reviews, deployment processes, and monitoring to ensure high-quality production releases and smooth operation of data pipelines and frameworks.

WHO YOU ARE

You are someone who is a code-savvy and data-oriented professional, capable of writing optimized, production-quality code with strong object-oriented design knowledge, possessing a good practical spirit for troubleshooting, and demonstrating excellent teamwork and communication skills.

WHAT YOU BRING

• 3+ years of experience in software development or data engineering in cloud-based environments.
• Strong programming skills in C# and Python, with a solid grasp of OOP principles.
• Proficiency in data transformation and processing tools (e.g. PySpark, dbt).
• Previous experience with reporting tools (e.g. Power BI)
• Knowledge of Azure Data Factory (ADF)
• Experience designing scalable and robust data platforms.
• Familiarity with data modeling techniques (e.g. star schema, data vault).
• Experience with distributed data systems and Database optimization.
• Comfortable working with distributed  data stores and SQL Server.
• Experience in ETL processes and orchestration tools.
• A passion for continuous learning, mentoring, and solving complex problems.
• Excellent communication skills in English.

HIRING PROCESS

• Talent Acquisition interview - 30 minutes
• Hiring Manager interview - 45 minutes
• Technical Screening with an Architect - 45 to 60 minutes
• Second Technical Screening with a Tech Lead or Data Engineer - 45 to 60 minutes
• Final Round with Hiring Manager - 60 minutes

#LI-RH1 #LI-HYBRID 

• Between 2 and 5 years of experience in software development
• Backend wise, you have solid C# skills - it's a MUST!
• You have some Frontend experience as well - any JS framework works; we work with ReactJS!
• You are a true Fullstack: Frontend is part of your job, as much as Backend!
• Your projects are beautifully designed and cleanly written
• You are dynamic, curious and eager to learn, always looking to expand your fields of expertise
• You are proactive and take ownership of your work
• You want your work to have an impact: rather than a cog, you see yourself as the engine
• Fluency in English

• 30-minute video interview with our Talent Acquisition Specialist
• 2x 1-hour technical interviews, one with a Backend dev and one with a Frontend dev
• 1-hour final interview with the Hiring Manager

#LI-RH1 #LI-HYBRID 

Join our Movement and Champion Restaurant Culture! 💚

At TheFork we believe that the best things in life happen around the table.
As the leading restaurant booking platform in Europe, we connect the broadest community of loyal diners with the world’s favorite restaurants. Powered by innovation and a deep passion for the restaurant industry, we create unique dining experiences across 11 countries.

We’re part of the Tripadvisor Group and proud to be building a diverse, people-first culture where “respect”, “ownership”, “growth” and “better together” values thrive.
If you’re passionate about food, technology, and making a real impact, your seat at the table is ready.

👉 Discover life at TheFork

What you will do: 

We are looking for a Senior Data Engineer to join our Core Data team and play a key role in transforming TheFork’s data capabilities through the implementation of a modern, self-service Data Platform (DPaaS).

In this role, you will not only build scalable, production-grade data pipelines, but also contribute to designing and evolving the platform that enables domain teams to autonomously produce and consume trusted data products.

You will apply strong software engineering principles to data engineering, help define governance standards, and actively contribute to shifting our organisation from a centralised BI model to a federated, domain-oriented data ecosystem.

You will report directly to the Senior Data Engineering Manager and work in close collaboration with:

• DataOps team: who own the Data Platform infrastructure
• Architects: to ensure technical decisions align with enterprise architecture
• BI teams, Engineering teams and Data Science teams: who are the main consumers of the platform

Key Responsibilities

Technical Leadership & Delivery

• Design and implement scalable, production-grade data pipelines following strong software engineering practices (version control, CI/CD, automated testing, observability).
• Lead the evolution of orchestration patterns in Airflow to improve scalability, reliability, and maintainability.
• Drive technical POCs to evaluate new tools, architectural patterns, and performance improvements aligned with the platform roadmap.
• Contribute to shaping and validating the target data architecture in collaboration with Architects, Staff Engineers, and DataOps.
• Proactively identify system weaknesses and design for failure, defining mitigation strategies and resilience patterns.

Data Governance & Quality

• Implement and enforce data contracts and quality controls aligned with defined SLOs.
• Apply data modeling best practices including medallion architecture to create trusted, reusable data assets
• Contribute to establishing domain ownership principles and clear single sources of truth.
• Ensure lineage, metadata, and observability mechanisms are embedded by design in all pipelines.

Enablement & Collaboration

• Drive technical alignment across teams through clear documentation, standards, and mentoring.
• Partner with DataOps to ensure infrastructure, CI/CD, and platform automation at scale.
• Actively support product and engineering teams in adopting the platform, with a strong focus on developer experience.
• Build cross-functional relationships to accelerate adoption and drive platform impact.

Technical Expertise

You Must Meet These Critical Qualifications 

Minimum 6 years of data engineering experience, including significant exposure to production-grade data platforms and cross-team leadership.

Data Platform & Architecture

• Deep hands-on experience with a modern cloud lakehouse in production-grade environments (e.g. Snowflake, Databricks, …).
• Strong expertise in analytical data modeling (including medallion architecture) and safe schema evolution.
• Proven experience designing scalable, incremental ELT pipelines.
• Strong understanding of MPP systems and distributed data processing principles.

Performance & Cost Optimization

• Experience optimizing query performance and compute cost in cloud data warehouses.
• Cost-aware design mindset.

Orchestration & Data Integration

• Advanced proven experience with Airflow, including scalable DAG design, dependency management, and failure handling strategies.
• Strong experience designing and operating production-grade ELT pipelines using modern integration tools (e.g. Airbyte or similar) or custom ingestion frameworks.
• Experience designing self-service data platform capabilities is a strong plus.

Cloud & Infrastructure Engineering

• Strong experience with AWS-based data architectures (S3, IAM, networking fundamentals).
• Hands-on experience with Infrastructure as Code (e.g. Terraform).
• Experience implementing CI/CD pipelines for data workflows.
• Understanding of security-by-design principles in cloud data environments.

Data Quality, Governance & Observability

• Experience implementing data quality frameworks, data contracts, and validation strategies.
• Strong understanding of metadata management, lineage tracking, and monitoring practices.
• Experience embedding observability and reliability into pipelines (alerting, SLOs, incident response mindset).

Execution & Autonomy

• Lead initiatives end-to-end, from problem framing to production rollout, with high autonomy.
• Structure complex technical problems into actionable plans and manage cross-team dependencies.
• Make informed architectural trade-offs balancing scalability, cost, reliability, and time-to-market.
• Take ownership of platform stability and continuously improve operational excellence.
• Mentor and help other engineers grow through technical guidance and feedback.

What we offer you:

😄 An awesome team 

🏠 A permanent contract (that can be useful in life) 

⚖️Flexible working environment (2 days home office per week +  up to 4 total weeks additional flexibility during the summer period and in December to work fully remotely)

💸 Competitive fixed salary and bonus 

🍕 Lunch vouchers available for each working day (because yes, we like to try our best restaurants)  

🌎 International teams and a multicultural environment spanning 10 offices across Europe

🤝 Highly inclusive working environment 

🤸‍♀️ Lifestyle benefits that can be used to reimburse expenses related to physical and leisure activities, family support, travel etc 

🎓 Continuous learning and development programs

😌 Free access to the Calm app to help you build resilience wherever you are in your mental health journey

🐣Dedicated parental leave and caregiver leave policies (12 weeks fully paid)

🏥Health insurance

👩‍🦽 Life & Disability Insurance at no cost to the employee

🍴 Amazing offices with dining, coffee points and leisure area    

🎤 Team building events

All hiring happens through our careers site and official email. We do not text or ask for payment during the hiring process. Please report any suspicious messages immediately.

We believe that we are better together, and we welcome you for who you are. We endeavor to ensure  that everyone - regardless of ability, age, socio-economic & cultural background, ethnicity, faith, gender, gender expression, gender identity, ideology, national origin, race, sexual orientation, marital status, or any characteristic protected under  applicable law -has the opportunity to reach their full potential. At TheFork, we want you to bring us your unique perspectives and experiences, so we can collectively continue disrupting the restaurant industry and go from good to great.

TheFork is committed to a fair recruitment process. If you have special needs and require reasonable support during your application,  interview, or participation in the selection process due to health conditions or disability, please direct your inquiries to AccessibleRecruitment@TheFork.com. Our HR team will review the request and respond accordingly.

#LI-FF1