cloud data engineer

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)

Devoteam

<div>Bedrijfsomschrijving 
Who are we?
We are Devoteam, an AI-driven tech consultancy with more than 11,000 tech experts spread across 25 countries in Europe and the Middle East. At Devoteam, we strongly believe in the power of technology, with AI at the heart of our approach. We partner with leading providers such as Google, Microsoft, AWS, and ServiceNow. In the Netherlands, we have around 300 experts and specialize in Cloud, Cyber, Data, and AI.
With us, you become part of a group of Tech Enthusiasts in a culture where making mistakes is allowed and where everyone&mdash;from bright young talents to experienced rockstars&mdash;is encouraged to continuously innovate and grow. We are a community that is proud of who you are and helps you get the best out of yourself. We are allergic to unnecessary hierarchies and excessive processes. At Devoteam, the only constant is 'change'. 
Vacatureomschrijving 
We are seeking a talented and passionate Databricks Data Engineer to join our expanding Microsoft Databricks team. In this role, you will be a crucial player in designing, building, and maintaining cutting-edge data solutions on the Databricks platform. You will have the opportunity to work with a variety of clients across different industries, collaborating with both internal teams and client stakeholders to deliver high-quality data pipelines and enable data-driven decision-making.
Responsibilities:<ul><li>
Data Pipeline Engineering: Design, develop, and deploy robust and scalable data pipelines using Databricks, incorporating data extraction from diverse sources (databases, APIs, streaming platforms), transformation and cleansing using Spark, and loading into target systems (data lakes, data warehouses, etc.). Optimize pipeline performance for efficiency and cost-effectiveness.</li><li>
Databricks Ecosystem Expertise: Utilize the full capabilities of the Databricks platform, including Databricks SQL, Delta Lake, Databricks Runtime, and Databricks Workflows, to orchestrate complex data workflows and ensure data quality and pipeline reliability.</li><li>
Cloud Integration: Seamlessly integrate Databricks with cloud services (Azure, AWS, or GCP) for storage, compute, and security, leveraging services like Azure Data Lake Storage, AWS S3, Google Cloud Storage, and more.</li><li>
Data Architecture and Modeling: Contribute to the design and implementation of robust data models and architectures for data lakes and data warehouses, ensuring data consistency, integrity, and accessibility for various use cases.</li><li>
Data Quality Assurance: Implement rigorous data quality checks and validation procedures throughout the data pipeline to maintain high accuracy and reliability. Adhere to data governance policies and best practices.</li><li>
Collaboration and Communication: Work closely with data scientists, analysts, business intelligence specialists, and business stakeholders to understand their data requirements and provide technical expertise on Databricks and data engineering best practices.</li><li>
Continuous Learning: Stay up to date with the latest Databricks features, cloud technologies, and data engineering trends to continuously improve our solutions and deliver innovative results for our clients.</li></ul> 
Functie-eisen<ul><li> 
Hold a University Degree in Computer Science, (Business) Engineering, or a specialized master's in Machine Learning or AI.</li><li>
Proven Experience: 2+ years of experience as a Data Engineer with demonstrated expertise in Databricks.</li><li>
Cloud Proficiency: Hands-on experience with at least one major cloud platform (Azure, AWS, or GCP), with a good understanding of cloud data services and infrastructure.</li><li>
Programming Skills: Strong programming skills in Python or Scala, with experience in data manipulation libraries (e.g., PySpark, Spark SQL).</li><li>
Data Fundamentals: Solid understanding of data warehousing principles, ETL processes, data modeling techniques, and database systems.</li><li>
SQL Expertise: Advanced SQL skills for data querying, transformation, and analysis.</li><li>
Communication Skills: Excellent communication and interpersonal skills, with the ability to effectively collaborate with technical and non-technical stakeholders.</li><li>
Problem-Solving: Strong analytical and problem-solving abilities, with a proactive approach to identifying and resolving data-related challenges.</li><li>
Proficiency in Dutch is a big plus.</li></ul> 
Aanvullende informatie 
At Devoteam, we invest in our people. Our benefits package includes:<ul><li>
Excellent primary and secondary employment benefits (excellent salary, bonus, lease car, laptop, phone, etc.).</li><li>
A personalized career development plan with specific training and certifications tailored to your field.</li><li>
Every opportunity to grow as a thought leader through knowledge sharing, blogs, and keynote sessions.</li><li>
The unique option to work from within Europe for 4 weeks per year.</li><li>
A vibrant internal community with knowledge sessions, ranging from bi-weekly Tech Thursdays to KISSes (Knowledge &amp; Information Sharing Sessions).</li></ul>
We look forward to welcoming you into our open and accessible culture! Are you ready for your next challenge? Apply today!
Questions? Please contact Casper Posch at nl.recruitment@devoteam.nl.</div>

Databricks Data Engineer

Optics11

<div>
 We are expanding our team with a
 
 Data &amp; ML Infrastructure Engineer
 
 who will take ownership of the platform that enables data ingestion, processing, storage, and machine learning workflows across multiple products. Operating at the intersection of data science, software engineering, and cloud infrastructure, you will build the foundations and ensure that our ML systems are scalable, reproducible, and production ready.
 
 
 In this role, you will design, implement, and continuously improve a cloud-agnostic data and ML platform that supports multiple products and teams. You will be responsible for platform reliability, scalability, and cost-efficiency, while providing data scientists and ML engineers with the tools and infrastructure to efficiently develop, train, validate, and deploy machine learning models. You will serve as a technical bridge between the data science and IT/infrastructure teams, translating requirements into robust and maintainable systems.
 
 
 This role includes ownership of an existing vendor-delivered platform and its evolution into a fully automated, reproducible, and multi-product ML platform.
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Design, implement, and maintain the data and ML platform infrastructure, including systems for data ingestion, storage, processing, and training.
 </li>
 <li>
 Ensure high availability, reliability, and uptime of the platform, as it is critical to the business value proposition.
 </li>
 <li>
 Maintain and evolve vendor-delivered platform components and ensure long-term maintainability and independence.
 </li>
 <li>
 Build and maintain data workflows, including tools for dataset versioning, experiment tracking, and model lifecycle management across multiple products.
 </li>
 <li>
 Enforce DevOps / MLOps practices, including CI/CD pipelines, Infrastructure-as-Code, and automated workflows.
 </li>
 <li>
 Develop cloud-agnostic and containerized solutions that can run across public and private cloud environments within EU constraints.
 </li>
 <li>
 Optimize data storage, lifecycle policies, and cost efficiency, including tiered storage and retention strategies.
 </li>
 <li>
 Implement and maintain monitoring and alerting systems (e.g., Prometheus, Grafana) for pipelines, infrastructure, and resource usage.
 </li>
 <li>
 Ensure data governance, security, and compliance, including access control, audit logging, and anonymization requirements.
 </li>
 <li>
 Collaborate closely with data scientists, ML engineers, and IT teams to deliver infrastructure that meets operational needs.
 </li>
 <li>
 Manage resource and cost controls, including budgets, approvals, and tracking.
 </li>
 <li>
 Contribute to documentation, operational runbooks, and onboarding materials for the platform.
 
 
 
 </li>
 </ul>
 
 Why Join Us?
 
 
 
 <ul>
 <li>
 Join one of Europe&rsquo;s most promising deep-tech scale-ups.
 </li>
 <li>
 Shape the future of a rapidly growing multidisciplinary R&amp;D organization.
 </li>
 <li>
 Competitive salary and benefits package.
 </li>
 <li>
 Enjoy regular team activities and company events.
 </li>
 <li>
 Fresh team lunches provided3 times/ week.
 
 
 
 </li>
 </ul>
 Required Qualifications:
 
 
 <ul>
 <li>
 MSc or equivalent with 5+ years&rsquo; industry experience in Computer Science, Data Engineering, Machine Learning, or a related field.
 </li>
 <li>
 Strong experience with data platforms, cloud infrastructure, and distributed systems (AWS, GCP, Azure).
 </li>
 <li>
 Proven experience with Infrastructure-as-Code (e.g., Terraform) and automated deployments.
 </li>
 <li>
 Experience with ML platforms and tools (MLflow, Feast, DVC, DataHub or equivalent).
 </li>
 <li>
 Experience with AWS Sagemaker or Google Vertex AI platforms.
 </li>
 <li>
 Experience with databases (MongoDB, PostgreSQL, InfluxDB or equivalent).
 </li>
 <li>
 Experience with message brokers and streaming systems (Kafka, RabbitMQ or equivalent).
 </li>
 <li>
 Hands-on experience with containerization (Docker/OCI) and orchestration (Kubernetes or similar).
 </li>
 <li>
 Experience with CI/CD systems (e.g., GitLab CI).
 </li>
 <li>
 Programming skills in Python.
 </li>
 <li>
 Experience with monitoring and observability tools (Prometheus, Grafana).
 </li>
 <li>
 Understanding of DevOps and MLOps practices.
 </li>
 <li>
 Ability to work across teams and translate requirements into scalable infrastructure solutions.
 
 
 
 </li>
 </ul>
 
 Nice to Have:
 
 
 
 <ul>
 <li>
 Knowledge of data governance, IAM, and security frameworks.
 </li>
 <li>
 Experience with cost optimization and resource management in cloud environments.
 </li>
 <li>
 Familiarity with multi-tenant or multi-product platform architectures.
 </li>
 <li>
 Experience working with EU data compliance constraints in energy, maritime or defense.
 
 
 
 </li>
 </ul>
 
 Security &amp; Compliance:
 
 
 
 You'll be working with clients in the defense and security sectors, obtaining a Certificate of No Objection issued by the AIVD (Dutch General Intelligence and Security Service) is mandatory. This means you will need to undergo a security screening. For more information, please refer to details on security screening.
</div>

Data & ML Infrastructure Engineer

<div>We are expanding our team with a Data &amp; ML Infrastructure Engineer who will take ownership of the platform that enables data ingestion, processing, storage, and machine learning workflows across multiple products. Operating at the intersection of data science, software engineering, and cloud infrastructure, you will build the foundations and ensure that our ML systems are scalable, reproducible, and production ready.
In this role, you will design, implement, and continuously improve a cloud-agnostic data and ML platform that supports multiple products and teams. You will be responsible for platform reliability, scalability, and cost-efficiency, while providing data scientists and ML engineers with the tools and infrastructure to efficiently develop, train, validate, and deploy machine learning models. You will serve as a technical bridge between the data science and IT/infrastructure teams, translating requirements into robust and maintainable systems.
This role includes ownership of an existing vendor-delivered platform and its evolution into a fully automated, reproducible, and multi-product ML platform.<h4 class="jobSectionHeader">
Key Responsibilities:</h4><ul><li>
Design, implement, and maintain the data and ML platform infrastructure, including systems for data ingestion, storage, processing, and training.</li><li>
Ensure high availability, reliability, and uptime of the platform, as it is critical to the business value proposition.</li><li>
Maintain and evolve vendor-delivered platform components and ensure long-term maintainability and independence.</li><li>
Build and maintain data workflows, including tools for dataset versioning, experiment tracking, and model lifecycle management across multiple products.</li><li>
Enforce DevOps / MLOps practices, including CI/CD pipelines, Infrastructure-as-Code, and automated workflows.</li><li>
Develop cloud-agnostic and containerized solutions that can run across public and private cloud environments within EU constraints.</li><li>
Optimize data storage, lifecycle policies, and cost efficiency, including tiered storage and retention strategies.</li><li>
Implement and maintain monitoring and alerting systems (e.g., Prometheus, Grafana) for pipelines, infrastructure, and resource usage.</li><li>
Ensure data governance, security, and compliance, including access control, audit logging, and anonymization requirements.</li><li>
Collaborate closely with data scientists, ML engineers, and IT teams to deliver infrastructure that meets operational needs.</li><li>
Manage resource and cost controls, including budgets, approvals, and tracking.</li><li>
Contribute to documentation, operational runbooks, and onboarding materials for the platform.</li></ul><h4 class="jobSectionHeader">
Why Join Us?</h4><ul><li>
Join one of Europe&rsquo;s most promising deep-tech scale-ups.</li><li>
Shape the future of a rapidly growing multidisciplinary R&amp;D organization.</li><li>
Competitive salary and benefits package.</li><li>
Enjoy regular team activities and company events.</li><li>
Fresh team lunches provided3 times/ week.</li></ul><h4 class="jobSectionHeader"> 
Required Qualifications:</h4><ul><li>
MSc or equivalent with 5+ years&rsquo; industry experience in Computer Science, Data Engineering, Machine Learning, or a related field.</li><li>
Strong experience with data platforms, cloud infrastructure, and distributed systems (AWS, GCP, Azure).</li><li>
Proven experience with Infrastructure-as-Code (e.g., Terraform) and automated deployments.</li><li>
Experience with ML platforms and tools (MLflow, Feast, DVC, DataHub or equivalent).</li><li>
Experience with AWS Sagemaker or Google Vertex AI platforms.</li><li>
Experience with databases (MongoDB, PostgreSQL, InfluxDB or equivalent).</li><li>
Experience with message brokers and streaming systems (Kafka, RabbitMQ or equivalent).</li><li>
Hands-on experience with containerization (Docker/OCI) and orchestration (Kubernetes or similar).</li><li>
Experience with CI/CD systems (e.g., GitLab CI).</li><li>
Programming skills in Python.</li><li>
Experience with monitoring and observability tools (Prometheus, Grafana).</li><li>
Understanding of DevOps and MLOps practices.</li><li>
Ability to work across teams and translate requirements into scalable infrastructure solutions.</li></ul>
Nice to Have:<ul><li>
Knowledge of data governance, IAM, and security frameworks.</li><li>
Experience with cost optimization and resource management in cloud environments.</li><li>
Familiarity with multi-tenant or multi-product platform architectures.</li><li>
Experience working with EU data compliance constraints in energy, maritime or defense.</li></ul>
Security &amp; Compliance:
You'll be working with clients in the defense and security sectors, obtaining a Certificate of No Objection issued by the AIVD (Dutch General Intelligence and Security Service) is mandatory. This means you will need to undergo a security screening. For more information, please refer to details on security screening.</div>

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

<div>Company Description 
Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We&rsquo;re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes. 
Job Description 
The Data Science team is young, diverse and growing. As we are still relatively small you will be in the driver seat to shape its future. We have a flat structure and value the entrepreneurial spirit of our members: initiative is highly encouraged. We are also striving for well-being, diversity and knowledge-sharing inside the team, so that we all grow.
As a Data engineer consultant you will be working on various client projects as well as on building our own Sia AI solutions, together with our French Data Engineering team:<ul><li>
Cloud Services at GCP, AWS and Azure: architecture choices, use of storage &amp; compute services, cost monitoring and optimization, role management, Infrastructure as Code</li><li>
Docker and Kubernetes: containerization &amp; orchestration of applications, management of K8s clusters adapted to Data Science workloads</li><li>
Python programming: development of server-side tools (bulk data processing, REST API server, authentication, ...)</li><li>
CI/CD: managing the integration and ongoing deployment of our applications and internal platforms, supporting the deployment of Data Science projects at our clients' sites</li><li>
Data pipelines: development of ETL scripts in Big Data environments</li><li>
Infrastructures &amp; Services adapted to Machine Learning: technology watch and implementation of solutions useful to Data Scientists in the learning and provision of their ML models.</li></ul> 

Qualifications 
<ul><li>
 You hold a Master&rsquo;s Degree with a strong quantitative component (e.g. Econometrics, Physics, Mathematics, Statistics, Quantitative Finance)</li><li>
You have 1-3 years of relevant experience in Data, DevOps, Cloud or Software Engineering.</li><li>
You have a good level in Python and have a solid foundation in other languages. You are familiar with at least one SQL DBMS (ideally PostgreSQL) and ideally noSQL (ideally MongoDB).</li><li>
Ideally, you are already familiar with at least one cloud services platform (GCP, AWS, Azure) with experience mixing different services within the same project. If not, you have a strong appetite to learn more about these topics.</li><li>
You are comfortable using Docker, automating CI/CD pipelines and have a strong appetite for gaining competence in Kubernetes if you do not yet have experience with this solution.</li><li>
You will be able to work in a DevOps culture, taking responsibility for the code lifecycle, from development to deployment and maintenance of applications (mastery of the Gitlab-CE ecosystem is a plus). You are also familiar with Infrastructure as Code concepts and tools (ideally Terraform).</li><li>
You are sensitive to security issues and have experience in implementing application protection solutions (certificate management, HTTPS security, OAuth2 authentication, credential management)</li><li>
You have a strong interest in data and AI-related topics, the ability to quickly build expertise in these areas, and you&rsquo;re excited about helping our clients seize the opportunities they offer.</li><li>
You have excellent interpersonal and team working skills</li><li>
Excellent English and Dutch verbal and written skills are required.</li></ul> 

Additional Information 
We are unable to provide a work permit for this position 
Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.</div>

Consultant Data Engineer

Workato

<div>
 
 About Workato
 
 
 
 Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato&rsquo;s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com
 
 
 
 Why join us?
 
 
 
 Ultimately, Workato believes in fostering a
 
 flexible, trust-oriented culture that empowers everyone to take full ownership of their roles
 
 . We are driven by
 
 innovation
 
 and looking for
 
 team players
 
 who want to actively build our company.
 
 
 But, we also believe in
 
 balancing productivity with self-care
 
 . That&rsquo;s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.
 
 
 If this sounds right up your alley, please submit an application. We look forward to getting to know you!
 
 
 
 Also, Feel Free To Check Out Why
 
 
 
 <ul>
 <li>
 Business Insider named us an &ldquo;enterprise startup to bet your career on&rdquo;
 </li>
 <li>
 Forbes&rsquo; Cloud 100 recognized us as one of the top 100 private cloud companies in the world
 </li>
 <li>
 Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
 </li>
 <li>
 Quartz ranked us the #1 best company for remote workers
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 We are looking for a
 
 Staff AI Engineer
 
 to play a key role in building the core of our AI platform. In this position, you will design and develop production-grade systems that power intelligent automation, agentic workflows, and large-scale retrieval services. This is a highly technical, hands-on role that involves close collaboration with product and platform teams to transform advanced AI concepts into reliable, scalable, and secure solutions used across our enterprise ecosystem. You will also be responsible to:
 
 
 <ul>
 <li>
 Design, build, and maintain AI-powered services and APIs, leveraging LLMs (OpenAI, Anthropic, Qwen, OSS models) and custom ML models.
 </li>
 <li>
 Develop an enterprise-grade agentic framework that enables orchestration, retrieval, and collaboration between multiple AI agents.
 </li>
 <li>
 Implement and optimize knowledge retrieval systems and agentic search capabilities using vector databases such as Qdrant and ElasticSearch.
 </li>
 <li>
 Write well-structured, efficient, and testable Python code for production services, experimentation, and internal developer tools.
 </li>
 <li>
 Build and maintain shared Python libraries and SDKs used across multiple applications and microservices.
 </li>
 <li>
 Collaborate with cross-functional teams on architecture, internal protocols, and API standards to ensure consistency and reliability across the platform.
 </li>
 <li>
 Develop and enhance monitoring, validation, and observability for production-grade AI solutions.
 </li>
 <li>
 Drive the full software development lifecycle - from design and implementation to deployment, monitoring, and continuous improvement.
 </li>
 <li>
 Identify and resolve performance bottlenecks, reliability issues, and scaling challenges in complex, data-intensive environments.
 </li>
 <li>
 Participate in code reviews and technical discussions, mentoring other engineers and contributing to a culture of excellence.
 
 
 </li>
 </ul>
 
 Example Projects
 
 
 
 <ul>
 <li>
 Building an evaluation and observability framework for AI model performance and reliability.
 </li>
 <li>
 Developing an agentic orchestration platform that enables collaboration among multiple AI agents and tools.
 </li>
 <li>
 Implementing semantic retrieval and agentic search capabilities over large enterprise knowledge bases.
 </li>
 <li>
 Designing AI services that process and reason over high-volume real-world data at scale.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Qualifications / Experience / Technical Skills
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
 </li>
 <li>
 5+ years of experience as a Software Engineer, with strong proficiency in Python.
 </li>
 <li>
 Proven track record of building and maintaining production-grade systems using Python.
 </li>
 <li>
 Strong understanding of distributed systems, API design, and data-driven architectures.
 </li>
 <li>
 Experience with relational and non-relational databases (PostgreSQL, Elastic, Qdrant, or similar).
 </li>
 <li>
 Familiarity with AI/ML system design, including LLM integration and evaluation pipelines.
 </li>
 <li>
 Knowledge of DevOps and observability practices (CI/CD, monitoring, metrics, and model validation).
 </li>
 <li>
 Python
 </li>
 <li>
 FastAPI
 </li>
 <li>
 LLM APIs (OpenAI, Anthropic, Qwen, OSS)
 </li>
 <li>
 LiteLLM
 </li>
 <li>
 Qdrant
 </li>
 <li>
 PostgreSQL
 </li>
 <li>
 ElasticSearch
 </li>
 <li>
 Langfuse
 </li>
 <li>
 Kubernetes
 </li>
 <li>
 GitHub Actions
 </li>
 <li>
 ArgoCD
 
 
 </li>
 </ul>
 
 Preferred Skills
 
 
 
 <ul>
 <li>
 Experience working with multiple LLM providers (OpenAI, Anthropic, Qwen, open-source models).
 </li>
 <li>
 Background in developer platforms or AI infrastructure services.
 </li>
 <li>
 Familiarity with vector databases, semantic retrieval, and knowledge graph architectures.
 </li>
 <li>
 Exposure to Langfuse, LiteLLM, LangChain, or similar frameworks.
 </li>
 <li>
 Experience developing enterprise-scale SaaS or distributed backend systems.
 </li>
 <li>
 Contributions to open-source projects in Python, AI, or infrastructure engineering.
 
 
 </li>
 </ul>
 
 Soft Skills / Personal Characteristics
 
 
 
 <ul>
 <li>
 Excellent communication skills, with the ability to convey complex technical ideas clearly to both technical and non-technical audiences.
 </li>
 <li>
 Collaborative and proactive approach, comfortable working across teams in a dynamic environment.
 </li>
 <li>
 Strong analytical and problem-solving abilities, with a focus on continuous improvement and innovation.
 </li>
 <li>
 Curiosity and a genuine interest in emerging AI technologies and modern backend architectures.
 
 
 </li>
 </ul>
 
 (REQ ID: 2460)
 
</div>

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