senior data engineer

Just Eat Takeaway.com

<div>
 
 
 Ready for a challenge?
 
 
 
 
 Then Just Eat Takeaway.com might be the place for you. We&rsquo;re a leading global online delivery platform, and our vision is to empower everyday convenience.
 
 
 Whether it&rsquo;s a Friday-night feast, a post-gym poke bowl, or grabbing some groceries, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery and convenience partners across the globe.
 
 
 
 About This Role
 
 
 
 We are looking for a Senior Data Engineer to join the Batch team within the Global Intelligence Platforms organisation, where you will play a central role in building and evolving Mobius - our internal unified analytics and data platform that powers data workloads at scale across Just Eat Takeaway.
 
 
 Mobius is a Kubernetes-native, declarative data platform that abstracts away infrastructure complexity so that data engineers across the business can provision and manage batch and streaming pipelines through a simple, expressive API. As part of the Batch team, you will own the components that make this a reality for batch processing.
 
 
 We're looking for someone who can live our behaviours of lead, deliver and care, bring fresh ideas, challenge the status quo, and push for bold, creative solutions to drive the Just Eat Takeaway vision forward.
 
 
 
 
 Location: Hybrid - 3 days a week from our Amsterdam office &amp; 2 days working from home
 
 
 Reporting to: Senior Team Leader - Data Engineering
 
 
 
 
 
 
 These are some of the key components to the position:
 
 
 
 
 <ul>
 <li>
 Design, build, and continuously improve batch and data processing pipelines on the Mobius platform, holding yourself and the team to a high standard of reliability and maintainability.
 </li>
 <li>
 Contribute to the evolution of Mobius platform capabilities, helping shape architecture decisions that scale with the organisation's growing data needs.
 </li>
 <li>
 Partner closely with internal teams to understand their data requirements, translating them into well-engineered, production-ready solutions.
 </li>
 <li>
 Champion data quality and governance by defining and maintaining data contracts, metadata, and lineage across the pipelines you own.
 </li>
 <li>
 Set up and own observability for data workloads - monitoring, alerting, and logging - and lead incident response when things don't go to plan.
 </li>
 <li>
 Participate actively in code reviews, raising the bar for engineering standards and sharing knowledge generously across the team.
 </li>
 <li>
 Collaborate across Global Intelligence Platforms org and with external teams to ensure Mobius delivers real, measurable value to the business.
 </li>
 <li>
 Identify and drive improvements to tooling, processes, and developer experience, making it easier for teams to build on top of Mobius with confidence.
 </li>
 <li>
 Contribute to team planning and prioritisation, helping to break down complex problems into clear, achievable goals that keep the team moving forward.
 
 
 </li>
 </ul>
 
 
 What will you bring to the team?
 
 
 
 
 <ul>
 <li>
 Strong coding skills (Python/Java/Scala), with a track record of building and maintaining reliable, production-grade data pipelines at scale.
 </li>
 <li>
 Confident working with Kubernetes-native platforms to deploy and operate data workloads across cloud environments. Knowledge of Golang is a strong advantage.
 </li>
 <li>
 Hands-on experience with data transformation tools such as Spark and DBT, with a focus on building well-tested, maintainable data products.
 </li>
 <li>
 Familiarity with Apache Iceberg table format and schema management via catalogs such as AWS Glue, with an appreciation for data quality and consistency.
 </li>
 <li>
 Solid grounding in core AWS data and messaging services (S3, Glue ETL, DynamoDB, SNS, SQS, Redis) and how they fit together in modern data architectures.
 </li>
 <li>
 Proficiency in SQL and experience querying large-scale datasets with engines such as Athena to surface insights for internal and external partners.
 </li>
 <li>
 Experience orchestrating and scheduling data workflows, with an understanding of pipeline dependency management principles (e.g., Airflow).
 </li>
 <li>
 Comfortable establishing monitoring, logging, and alerting for data pipelines to drive operational excellence and fast incident response.
 </li>
 <li>
 An appreciation for data governance - including metadata management and data contracts - as a foundation for responsible, trustworthy data products.
 </li>
 <li>
 A collaborative, growth-oriented mindset: you build strong relationships across teams, stay committed to shared goals, and actively look for ways to raise the bar.
 
 
 </li>
 </ul>
 
 
 At JET, this is how we play
 
 
 
 
 Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment.
 
 
 Being the best at what we do isn&rsquo;t just about delivering on our strategy. It's a competition for something incredibly valuable &ndash; our customers' choice. Every time a customer decides where to order, they're picking a side.
 
 
 At the heart of the JET Customer League are our values and behaviours. They guide every interaction, every decision, every innovation. These are the actions we need to perform consistently and brilliantly, to surpass the competition and earn our customers&rsquo; loyalty, again and again.
 
 
 Fun, fast-paced and supportive, the JET culture is about movement, growth, helping one another to succeed and celebrating wins. By truly living our values and embodying our behaviours, we&rsquo;re building a customer-first culture which enables us to stay one step ahead of the competition.
 
 
 
 
 Inclusion, Diversity &amp; Belonging
 
 
 
 
 No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat Takeaway.com. We&rsquo;re committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day.
 
 
 
 What else are we delivering?
 
 
 
 Want to know more about our JETers, culture or company? Have a look at our career site where you can find people's stories, blogs, podcasts and more JET journeys.
 
 
 
 
 Are you ready to join the team? Apply now!
 
 
 
 
</div>

Senior Data Engineer

PRACYVA

<div>
 
 We are seeking an experienced
 
 Senior AS400 Engineer
 
 to join the DevOps team. The role focuses on maintaining, enhancing, and supporting AS400 (IBM i) applications while ensuring business continuity and operational stability. The ideal candidate will have strong expertise in RPG development, production support, DevOps practices, and legacy system modernization.
 
 
 
 Key Responsibilities
 
 
 
 
 Application Development &amp; Maintenance
 
 
 <ul>
 <li>
 Maintain, enhance, and support existing AS400 (IBM i) applications.
 </li>
 <li>
 Develop fixes and new enhancements for legacy applications.
 </li>
 <li>
 Perform code analysis, debugging, and application optimization.
 </li>
 <li>
 Ensure high application availability and business continuity.
 </li>
 </ul>
 
 
 Production Support
 
 
 <ul>
 <li>
 Perform incident triage, troubleshooting, and issue resolution.
 </li>
 <li>
 Conduct Root Cause Analysis (RCA) for production issues.
 </li>
 <li>
 Manage ITSM tickets while meeting SLA, MTTR, and incident reduction targets.
 </li>
 <li>
 Support batch jobs, job scheduling, and system monitoring.
 </li>
 </ul>
 
 
 Technical Leadership
 
 
 <ul>
 <li>
 Mentor junior engineers and provide technical guidance.
 </li>
 <li>
 Act as Team Lead whenever required.
 </li>
 <li>
 Collaborate with cross-functional teams to ensure smooth project delivery.
 </li>
 </ul>
 
 
 Integration &amp; Legacy Systems
 
 
 <ul>
 <li>
 Support integrations between AS400 and enterprise systems such as SAP, POS, and logistics platforms.
 </li>
 <li>
 Analyze APIs, data flows, and system dependencies.
 </li>
 <li>
 Work with custom-built ERP and legacy applications.
 </li>
 </ul>
 
 
 Modernization &amp; DevOps
 
 
 <ul>
 <li>
 Support AS400 modernization initiatives and SAP S/4HANA migration programs.
 </li>
 <li>
 Contribute to DevSecOps initiatives and improve deployment processes.
 </li>
 <li>
 Understand coexistence strategies during AS400 to SAP transitions.
 </li>
 <li>
 Support monitoring, observability, CI/CD, and release management practices.
 </li>
 </ul>
 
 
 Required Technical Skills
 
 
 
 
 AS400 / IBM i
 
 
 <ul>
 <li>
 RPG III
 </li>
 <li>
 RPG IV
 </li>
 <li>
 RPG ILE
 </li>
 <li>
 RPG Free Format
 </li>
 <li>
 CLP Programming
 </li>
 <li>
 LANSA
 </li>
 <li>
 DB2/400 (DB400)
 </li>
 <li>
 Embedded SQL
 </li>
 </ul>
 
 
 System Knowledge
 
 
 <ul>
 <li>
 AS400 Job Processing
 </li>
 <li>
 Batch Processing &amp; Scheduling
 </li>
 <li>
 Database Design
 </li>
 <li>
 File Systems &amp; Data Structures
 </li>
 <li>
 Legacy ERP Systems
 </li>
 <li>
 Custom Applications
 </li>
 </ul>
 
 
 Production Support
 
 
 <ul>
 <li>
 Incident Management
 </li>
 <li>
 Root Cause Analysis (RCA)
 </li>
 <li>
 ITSM Tools
 </li>
 <li>
 Ticket Management
 </li>
 <li>
 SLA &amp; MTTR Management
 </li>
 </ul>
 
 
 Good to Have Skills
 
 
 <ul>
 <li>
 SAP S/4HANA Migration
 </li>
 <li>
 Legacy System Modernization
 </li>
 <li>
 Automation Tools
 </li>
 <li>
 AI-Assisted Troubleshooting
 </li>
 <li>
 Knowledge Graph &amp; Documentation Tools
 </li>
 <li>
 DevOps Practices
 </li>
 <li>
 Monitoring &amp; Observability
 </li>
 <li>
 CI/CD
 </li>
 <li>
 Release Management
 </li>
 </ul>
 
 
 Soft Skills
 
 
 <ul>
 <li>
 Strong analytical and problem-solving skills.
 </li>
 <li>
 Ability to work with poorly documented legacy systems.
 </li>
 <li>
 Experience in reverse engineering applications.
 </li>
 <li>
 Strong stakeholder management and collaboration skills.
 </li>
 <li>
 Ability to work with Business SMEs, SAP teams, vendors, and multi-vendor environments.
 </li>
 <li>
 Ownership mindset with a strong focus on system stability and business continuity.
 </li>
 <li>
 Quick learner with the ability to understand complex legacy applications.
 </li>
 </ul>
 
 
 Key Performance Indicators (KPIs)
 
 
 <ul>
 <li>
 SLA Compliance
 </li>
 <li>
 MTTR (Mean Time to Resolution)
 </li>
 <li>
 Incident Reduction
 </li>
 <li>
 Escalation Management
 </li>
 <li>
 DORA Metrics
 </li>
 <li>
 Change Deployment Rate
 </li>
 <li>
 Business Continuity &amp; Operational Stability
 </li>
 </ul>
 
 
 
</div>

AS400

Xccelerated | Part of Xebia

<div>
 
 Data Engineer
 
 
 
 
 
 
 Location:
 
 Netherlands (hybrid)
 
 
 
 Language:
 
 English-speaking environment
 
 
 
 
 
 Are you a
 
 Data Engineer based in Europe
 
 who wants to take the next step in your career?
 
 
 Would you like to
 
 relocate to the Netherlands
 
 and work on a modern cloud-based data platform while accelerating your growth through structured, high-level training?
 
 
 
 
 
 At
 
 Xccelerated
 
 , we are looking for
 
 Medior Data Engineers
 
 to help build a
 
 state-of-the-art data platform on Google Cloud Platform (GCP)
 
 . You&rsquo;ll work alongside experienced consultants and follow an intensive training program designed to rapidly strengthen your technical and professional skills.
 
 
 
 
 
 💡 Why join Xccelerated?
 
 <ul>
 <li>
 Build a
 
 modern data platform from scratch
 
 on Google Cloud Platform
 </li>
 <li>
 Work on real client projects while continuously improving your skills
 </li>
 <li>
 Receive
 
 60+ days of structured technical training
 
 led by experienced Tech Leads
 </li>
 <li>
 Collaborate with international engineering and analytics teams
 </li>
 <li>
 After one year, transition to a
 
 direct contract with the client organization
 
 </li>
 </ul>
 
 
 
 
 🚀 Your role as a Data Engineer
 
 
 As a Data Engineer at Xccelerated, you will help lay the foundation for data-driven decision making.
 
 
 You will:
 
 <ul>
 <li>
 Design, build and maintain
 
 scalable data pipelines
 
 on GCP
 </li>
 <li>
 Develop components of a modern data platform supporting analytics and machine learning use cases
 </li>
 <li>
 Ensure reliable integration between data sources, pipelines and data models
 </li>
 <li>
 Work closely with engineering, analytics and cloud teams on architecture and implementation
 </li>
 <li>
 Continuously improve data quality, reliability and performance
 </li>
 </ul>
 
 
 
 
 👩 💻 Who we&rsquo;re looking for
 
 
 You&rsquo;re a hands-on engineer who enjoys learning by doing and working on meaningful data challenges.
 
 
 You bring:
 
 <ul>
 <li>
 A Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data, Cloud or a related field
 </li>
 <li>
 
 3&ndash;4 years of experience
 
 as a Data Engineer (or similar role)
 </li>
 <li>
 Strong skills in
 
 Python
 
 and
 
 SQL
 
 </li>
 <li>
 Experience with at least one public cloud:
 
 GCP, AWS or Azure
 
 </li>
 <li>
 Familiarity with modern data tools such as
 
 Spark, Databricks or Airflow
 
 </li>
 <li>
 A proactive mindset and willingness to
 
 relocate to the Netherlands
 
 </li>
 </ul>
 
 
 
 
 🎁 What we offer
 
 
 At Xccelerated, we offer more than just a job &mdash; we offer a
 
 career accelerator in Data &amp; Cloud
 
 .
 
 <ul>
 <li>
 Competitive salary based on experience
 </li>
 <li>
 
 Relocation support
 
 for candidates moving to the Netherlands
 </li>
 <li>
 25 vacation days
 </li>
 <li>
 Intensive onboarding with a hands-on technical bootcamp
 </li>
 <li>
 Weekly technical training, mentoring and innovation days
 </li>
 <li>
 Company laptop and modern tooling
 </li>
 <li>
 Great lunches, excellent coffee and a well-stocked snack bar
 </li>
 <li>
 Hybrid working model and an international team
 </li>
 </ul>
 
 
 
 
 🌍 About Xccelerated
 
 
 Xccelerated (part of the
 
 Xebia Group
 
 ) is a tech accelerator focused on developing the next generation of Data &amp; Cloud professionals.
 
 
 You&rsquo;ll work
 
 four days per week
 
 on real client projects and spend
 
 one day per week
 
 on structured training, coaching and innovation. After one year, you&rsquo;ll have the opportunity to join one of our partner companies directly.
 
 
 
 
 
 📩 Interested in relocating to the Netherlands?
 
 
 We&rsquo;d love to hear from you.
 
 
 📧 Contact:
 
 Samantha Goncalves
 
 &ndash; sgoncalves@xccelerated.io
 
 
 📞 Phone: +31 6 13889770
 
 
 
 
 
 📋 Application process
 
 <ol>
 <li>
 Introductory interview with one of our recruiters
 </li>
 <li>
 Technical assessment &amp; presentation with one of our Tech Leads (remote)
 </li>
 </ol>
 
 We aim to complete the process within
 
 1&ndash;3 weeks
 
 , depending on availability.
 
</div>

Data Engineer (Relocation to the Netherlands)

Pancompany

<div>
 
 
 Wat ga je doen.
 
 
 
 Organisaties zitten boordevol data. Jij bedenkt, ontwerpt en ontwikkelt als (Big) Data Engineer technische oplossingen voor ongestructureerde data vanuit de databron. Zodat deze data kan worden omgezet naar informatie, door bijvoorbeeld een dashboard te bouwen of door een grondige data-analyse te maken. Jouw werk heeft dus grote impact! Je draagt als Data Engineer direct bij aan de bestuurbaarheid en onderbouwing van de beslissingen die CEO&rsquo;s en managementteams dagelijks nemen.
 
 
 
 
 
 Door jouw ervaring met softwareontwikkeling en data-infrastructuur ben je van meerwaarde voor iedere klant. Je werkt graag samen met data scientists om de door hen getrainde machine learning modellen in de praktijk tot een succes te maken. Daarnaast haal je jouw plezier uit het zo effici&euml;nt en effectief mogelijk inrichten van de streaming data pipelines van onze klanten.
 
 
 
 
 
 Als Data Engineer begrijp je het belang van realtime kennis en zoek je dus zelfstandig naar mogelijke oplossingen voor de uitdagingen van onze klanten en werk je deze oplossingen uit. De technische rol die jij vertolkt helpt de klant bij de vertaling van hun probleem naar een oplossing door van het gebruik van de juiste Tech-stack.
 
 
 
 
 
 Je werkt voor grote bedrijven zoals de Nederlandse overheid en top-200 bedrijven. En dat biedt jou de unieke kans om op grote schaal impact te maken. De complexiteit en omvang van de data bij deze bedrijven bieden uitdagende mogelijkheden voor een Data Engineer. Je bent betrokken bij projecten die de koers van deze bedrijven be&iuml;nvloeden en de besluitvorming van CEO&rsquo;s en managementteams ondersteunen, waardoor je bijdraagt aan hun succes en groei.
 
 
 
 
 
 Jij wil de beste zijn in je werk en werken met de nieuwste technieken. Van ons krijg je dus alle ruimte om je te blijven ontwikkelen en deel te nemen aan trainingen, cursussen en seminars. Ben jij de Data Engineer die onze community komt versterken?
 
 
 
 
 
 
 Wij bieden.
 
 
 <ul>
 <li>
 
 Salaris
 
 . Een onvoorwaardelijk en gegarandeerd basisinkomen, wat jou zekerheid geeft.
 </li>
 <li>
 
 Provisie
 
 . Naast het basissalaris deel je mee in de omzet met ons
 
 Solidshare
 
 beloningsmodel. En dat kan aardig oplopen.
 </li>
 <li>
 
 Zekerheid
 
 . Uiteraard krijg je een vast contract met prima secundaire arbeidsvoorwaarden.
 </li>
 <li>
 
 Vakantiedagen
 
 . Onbeperkt!
 </li>
 <li>
 
 Essentials
 
 . Een auto, laptop en telefoon, dat spreekt voor zich.
 </li>
 <li>
 
 Projecten
 
 . Samen kiezen we de projecten waar jij helemaal op je plek zit.
 </li>
 <li>
 
 Ontwikkeling
 
 . Opleidingen, trainingen en cursussen die bij je passen.
 </li>
 <li>
 
 Een stem
 
 . Laat je horen in onze
 
 Data Analytics
 
 competence.
 </li>
 <li>
 
 Our community
 
 . Deel kennis, successen en gezelligheid met collega&rsquo;s die net zo bezeten zijn van IT als jij.
 </li>
 <li>
 
 Events
 
 . Van onze jaarlijkse ski-trip naar Oostenrijk en de jubileumreis naar
 
 Dublin
 
 tot een MTB-clinic of running event. Van tweewekelijkse
 
 Dungeons &amp; Dragons
 
 -avonden tot familiedagen naar de Efteling.
 </li>
 </ul>
 
 
 
 
 
 Dit ben jij.
 
 
 
 Je hebt een relevant HBO of WO-diploma, bij voorkeur Computer Science of Artificial Intelligence. Je programmeert bij voorkeur met Java, Scala of Python.
 
 
 Je bent de Data Engineer die alles weet van noodzakelijke pipeline tooling als Kafka, Spark, Cassandra en containertooling als Docker, Airflow of Kubernetes. Bij voorkeur heb je ook al ervaring met cloud oplossingen (Microsoft Azure of AWS).
 
 
 Je bent analytisch sterk en kunt zelfstandig organisaties adviseren over de te nemen beslissingen. Tot slot spreek en schrijf je vloeiend Nederlands en Engels.
 
 
 
 
 
 
 Bij Pancompany.
 
 
 
 Ben je de beste in je vak.
 
 
 Denk en handel je als een ondernemer.
 
 
 Maak je plezier en geniet je volop.
 
</div>

Data Engineer

Odgers Nederland

<div>
 
 Bij Odgers bouwen we aan een datagedreven en toekomstbestendige executive search organisatie. Om onze ambitie verder vorm te geven, zoeken wij een
 
 Data Engineer
 
 die onze datafundamenten versterkt en helpt om onze processen slimmer, sneller en beter voorspelbaar te maken.
 
 
 
 
 
 
 Over de rol
 
 
 
 Als Data Engineer speel je een sleutelrol in het ontwikkelen en onderhouden van onze data‑infrastructuur. Je zorgt ervoor dat data betrouwbaar beschikbaar is voor analyses, dashboards en AI‑toepassingen die direct bijdragen aan onze search- en advisorypraktijk.
 
 
 Je werkt nauw samen met research, consultants en operations om data om te zetten in concrete inzichten die onze dienstverlening verbeteren.
 
 
 
 
 
 
 Wat ga je doen
 
 
 <ul>
 <li>
 Ontwerpen, bouwen en onderhouden van data pipelines en data‑modellen
 </li>
 <li>
 Integreren van verschillende databronnen (ATS, CRM, M365, externe datasets)
 </li>
 <li>
 Waarborgen van datakwaliteit, consistentie en security (GDPR/AVG-proof)
 </li>
 <li>
 Ondersteunen van rapportages, dashboards en KPI‑sturing
 </li>
 <li>
 Meewerken aan AI- en automatiseringsoplossingen (bijv. Copilot use cases)
 </li>
 <li>
 Vertalen van businessvragen naar data‑gedreven oplossingen
 </li>
 </ul>
 
 
 
 
 
 Wat breng je mee
 
 
 <ul>
 <li>
 Bachelor of master in Data Science, Computer Science of vergelijkbaar
 </li>
 <li>
 Minimaal 3 jaar ervaring als Data Engineer of in een vergelijkbare rol
 </li>
 <li>
 Sterke kennis van SQL en ervaring met data pipelines (bijv. Python, Azure Data Factory, Databricks)
 </li>
 <li>
 Ervaring met cloudomgevingen (bij voorkeur Microsoft Azure)
 </li>
 <li>
 Begrip van data‑modellering en datagovernance
 </li>
 <li>
 Affiniteit met AI en automatisering is een sterke pr&eacute;
 </li>
 <li>
 Analytisch, gestructureerd en proactief
 </li>
 </ul>
 
 
 
 
 
 Wat bieden wij
 
 
 <ul>
 <li>
 Een sleutelrol in de transformatie naar een datagedreven organisatie
 </li>
 <li>
 Directe impact op de kwaliteit en snelheid van onze dienstverlening
 </li>
 <li>
 Werken in een professionele, internationale omgeving
 </li>
 <li>
 Ruimte om mee te bouwen aan innovatieve AI- en data‑oplossingen
 </li>
 <li>
 Marktconform salaris en goede secundaire arbeidsvoorwaarden
 </li>
 </ul>
 
 
 
 
 
 Over Odgers
 
 
 
 Odgers is een toonaangevend executive search- en leadership advisory bureau. Wij combineren menselijke expertise met data en technologie om organisaties te helpen de juiste leiders te vinden en ontwikkelen.
 
</div>

Doghouse Recruitment

<div>
 
 
 Data Engineer &ndash; SaaS (Amsterdam / Hybrid / up to &euro;85K + bonus)
 
 
 
 
 
 
 My client is looking for a Data Engineer to help take their customer app to the next level. The app is used by over 700,000 users and relied on daily by thousands, playing a key role in enabling more sustainable travel by bike, car, and scooter. In this role, your work will directly influence how people move through their cities every day.
 
 
 
 
 
 You will join a passionate team of 20 engineers working with modern technologies, focused on building new features, improving performance, and delivering an outstanding user experience. On top of this, the company is preparing for a major data migration and expects to onboard an additional 100,000 users in the short term making scalability, reliability, and performance more critical than ever.
 
 
 
 
 
 
 The role
 
 
 
 You will be working on a modern data platform built with Clickhouse, Airflow, Python, Docker, and Kubernetes. The platform processes large volumes of operational and event data and delivers reliable analytics at scale.
 
 
 
 
 
 In this role, you will design, build, and maintain robust data pipelines, improve and optimise data models, and help further develop the overall data platform. You will work closely with product and engineering teams to ensure data is accurate, reliable, and scalable across the organization.
 
 
 You will join a strong engineering environment where modern tooling, ownership, and impact are key.
 
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 5+ years of experience as a Data Engineer or similar role
 </li>
 <li>
 Strong experience with Python and building data pipelines
 </li>
 <li>
 Hands-on experience with DBT, Snowflake, Airflow, or similar orchestration tools
 </li>
 <li>
 Experience with CI/CD, Docker &amp; Kubernetes.
 </li>
 </ul>
 
 
 
 
 
 Benefits
 
 
 <ul>
 <li>
 Salary up to &euro;85K (including holiday allowance)
 </li>
 <li>
 Hybrid working model (60/40)
 </li>
 <li>
 Start with a 12-month contract, with permanent hire thereafter
 </li>
 <li>
 &ldquo;Check-out day&rdquo; every two weeks for a mental reset
 </li>
 <li>
 Bonus scheme
 </li>
 <li>
 &euro;2,000 annual learning budget
 </li>
 <li>
 Ability to work remotely for 2 weeks per year (including workations)
 </li>
 </ul>
 
 
 
 
 
 Interested? Apply or contact me at glenn@doghouse-recruitment.nl
 
 
</div>

Protolabs

<div><div>Be yourself at Protolabs</div><div>
Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. We are an equal opportunity employer, and we are committed to building a diverse team that feels they are valued in the workplace. So do you feel you do not meet every single requirement but still intrigued? We encourage you to still apply! You can help make our company even better. We do not discriminate based on race, color, national origin, sexual orientation, gender, age, mental or physical ability, or any way you represent yourself. We strongly believe diversity makes for more successful teams.</div><div></div><div> 
Why Protolabs?</div><div>
We are the leaders in digital manufacturing. We hire doers, makers, and creative thinkers who tackle our roles with an entrepreneurial spirit. Our culture is centered around meaningful work that brings new and innovative products to market at unprecedented speeds. We are a diverse team that comes from all walks of life and take pride in our team who is smart, genuine, humble, and passionate about what we do. It&rsquo;s our people who fuel our creativity and make our culture feel like home.</div><div></div><h2 class="jobSectionHeader"> 
We are looking for a Senior QA Engineer to join our team!</h2>
<div>This is a hybrid role, and we are accepting applications from candidates based in the Netherlands.</div>
<div>
The Pricing Team at Protolabs is responsible for building, and maintaining, the intelligence behind how we quote production of custom-manufactured parts. We operate at the intersection of a complex two-sided marketplace; at the time of pricing, a customer uploads a CAD file and receives an instant quote, before we know which Manufacturing Partner will produce the part or at 
what cost.

We are looking for a Senior QA Engineer who will own quality across our pricing platform -backend services, APIs, data pipelines, and ML-driven estimates. You will design test strategies, build/maintain automation in our delivery pipelines, and give the team confidence to ship fast without sacrificing correctness in revenue-critical flows. You will work closely with software 
engineers, ML engineers, product, and business stakeholders (Finance, Sales) to turn requirements into verifiable, repeatable quality gates.
</div>
<h3 class="jobSectionHeader">What you&rsquo;ll do
</h3><div><ul><li>Support and evolve the test strategy for the Pricing domain, covering functional, integration, contract, regression, and non‑functional testing such as performance, reliability, and ML quality gating across services and APIs</li>
<li>Design, implement, and maintain automated test suites for APIs, events, integrations, and targeted end‑to‑end and performance scenarios aligned with the team&rsquo;s architecture, including API and event‑driven components and cloud deployments</li>
<li>Own and extend continuous testing within GitHub Actions or Azure DevOps CI/CD pipelines, ensuring test execution on PRs, enforcing quality gates, reporting results, managing flaky tests, and integrating with deployment workflows.</li>
<li>Validate pricing and ML outputs for correctness, edge cases, and regression, including geometry‑driven estimates, probabilistic forecasts, and model‑serving behaviour where applicable</li>
<li>Partner with engineers to improve testability through clear acceptance criteria, observable systems, contract testing between services, and shift‑left practices during code reviews. Investigate defects in production and pre‑production environments, perform root cause analysis, and drive preventative improvements such as closing automation gaps, increasing coverage, and enhancing processes</li>
<li>Contribute to release readiness by assessing risks, defining regression scope, providing go or no‑go input, and verifying system behaviour after release for pricing‑critical changes</li>
<li>Monitor quality metrics including coverage trends, defect escape rates, pipeline stability, and SLA‑related signals, and communicate status clearly to engineering and product leadership while automating post‑release monitoring</li>
<li>Mentor QA engineers and SDETs, promote testing standards, establish coding conventions for tests, and drive shared ownership of quality and testing frameworks across the engineering organisation. Participate in on‑call or incident support rotations when needed, focusing on reproductions, adding automated regression coverage, and ensuring long‑term fixes</li>
<li>Ensure the test approach aligns with relevant regulatory, audit, and data handling requirements, especially in the context of commercial pricing systems</li>
</ul></div><h3 class="jobSectionHeader">What you&rsquo;ll bring
</h3><ul><li><div>Bachelor&rsquo;s degree in Computer Science, Software Engineering, Information Systems, or a related field, or equivalent practical experience</div>
</li><li><div>7+ years of experience in software quality assurance, test automation, or SDET roles in a SaaS or production environment</div>
</li><li><div>Experience owning test automation and CI integration for backend or platform teams</div>
</li><li><div>Proven track record of leading test strategy or automation initiatives across cross functional products</div>
</li><li><div>Strong programming skills for test automation, especially in Python, with C# as a plus, and comfortable working directly in engineering codebases including reviews, fixes, shared libraries, and build pipelines</div>
</li><li><div>Solid experience with API and UI testing, along with component integration and service level integration testing</div>
</li><li><div>Hands on experience designing and maintaining GitHub Actions or similar CI pipelines, including parallel jobs, artefacts, secrets management, branch protections, and failure triage</div>
</li><li><div>Good understanding of databases such as PostgreSQL or MySQL, including writing data setup and assertions, understanding migration impacts, ensuring test isolation, and writing complex SQL queries</div>
</li><li><div>Experience working in cloud environments such as AWS, GCP, or Azure, and familiarity with containerised workloads including</div>
</li><li><div>Docker and basic Kubernetes concepts for test environments</div>
</li><li><div>ISTQB certification at foundation or advanced level, or equivalent formal QA training, with practical application of structured test design techniques such as equivalence partitioning, boundary value analysis, risk based testing, traceability, and quality modelling</div>
</li><li><div>Strong analytical skills when working in ambiguous domains, with the ability to translate finance, sales, and business rules into clear test cases and automation</div>
</li><li><div>A strong quality mindset with attention to detail, especially around pricing rules and regression in revenue impacting flows</div>
</li></ul><div>Nice to have</div>
<ul><li>Exposure to ML and MLOps testing, including model validation, A B or backtesting support, monitoring inference pipelines, and ensuring data quality</li>
<li>Experience with tools such as pytest, Playwright or similar for selective UI and API flows, Postman or Newman, contract testing frameworks, and performance tools like Locust</li>
<li>Familiarity with observability practices including logs, metrics, and traces for test failure diagnosis and production like verification</li>
<li>Experience participating in on call or incident response within a platform team</li>
<li>Experience with DBT or data testing frameworks</li>
</ul>
<div></div><h3 class="jobSectionHeader">What's in it for you?</h3><div>
<ul><li>Part of our incredible journey is clearly down to our amazing team, and we strongly believe in giving people a space to truly, authentically be themselves. We also believe that treating our employees well and sprinkling a great place to work with some nice perks can make work a little sweeter.</li>
<li>Annual company bonus. We celebrate success together! Employees are not only rewarded for their achievements but also for contributing to the overall success of the business.</li>
<li>Wellness and well-being with access to OpenUp psychologists, practice mindfulness with Headspace and tons more.</li>
<li>Doggo-friendly office. We are big pet lovers and fully encourage hanging out with your (and your colleagues&rsquo;) furry friends in the office</li>
<li>Daily Lunch and snacks are provided in the office; it's a moment for our teams to connect and recharge. Shared meals strengthen our bonds and fuel collaboration.</li>
<li>We offer learning and development days to be used for training or on volunteering, money to spend on learning courses, events, trainings, Access to our in-house LEARN platform with diverse courses, training, and workshops, In-house 3D Printing and much more!</li>
<li>Follow us on Instagram to see what Life at Protolabs is all about!</li></ul></div></div>

Senior QA Engineer

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