data engineer

Xccelerated | Part of Xebia

<div>
 
 
 Medior Data Engineer &ndash; Utrecht (Hybrid)
 
 
 
 
 
 
 
 Are you passionate about building scalable data solutions in the cloud? Do you want to work on a modern data platform from scratch while sharpening your skills with top-level training?
 
 
 
 At Xccelerated, we&rsquo;re looking for Data Engineers to help build a state-of-the-art Data Platform in Google Cloud Platform. You&rsquo;ll join forces with experienced consultants and get over 60 days of tailored training to maximize your growth and impact.
 
 
 
 
 
 
 💡 Why Join Us?
 
 
 
 ✔ Help design, build and maintain a modern Data Platform from scratch on Google Cloud Platform
 
 
 ✔ Collaborate with engineering and analytics teams to build scalable pipelines and deploy models
 
 
 ✔ Receive over 60 days of in-depth technical training and project support from our Tech Leads
 
 
 ✔ After one year, transition to a direct contract with the client organization
 
 
 
 
 
 
 🚀 What You&rsquo;ll Be Doing
 
 
 
 As a Data Engineer at Xccelerated, you&rsquo;ll be part of a team building the foundation for data-driven decision making.
 
 
 🔹 Build and maintain scalable data pipelines and infrastructure on GCP
 
 
 🔹 Develop components of the data platform that enable analytics and machine learning use cases
 
 
 🔹 Ensure robust integration between systems and data models
 
 
 🔹 Collaborate with engineering and analytics teams to align architecture and implementation
 
 
 
 
 
 
 👨 💻 Who You Are
 
 
 
 You&rsquo;re a hands-on engineer with a strong can-do mentality. You enjoy solving challenges and learning by doing.
 
 
 ✅ Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Cloud Computing, or related field
 
 
 ✅ 1&ndash;4 years of experience as a Data Engineer
 
 
 ✅ Skilled in Python and familiar with at least one public cloud (GCP, AWS, or Azure)
 
 
 ✅ Experience with modern data tooling like Databricks, Spark, or Airflow
 
 
 ✅ Proactive, eager to learn, and focused on impact
 
 
 
 
 
 
 🎁 What We Offer
 
 
 
 At Xccelerated, we don&rsquo;t just offer a job&mdash;we offer a launchpad for your career in Data &amp; Cloud.
 
 
 💰 Competitive salary &ndash; we value your skills and experience
 
 
 🛫 25 vacation days &ndash; take the rest you need
 
 
 📙 An intensive onboarding period with a hands-on bootcamp
 
 
 📊 Weekly technical training and innovation days throughout the year
 
 
 💻 A company laptop and top-tier tools
 
 
 🍎 Delicious lunches, great coffee, and a well-stocked snack bar
 
 
 
 
 
 
 🌍 About Us
 
 
 
 Xccelerated (part of the Xebia Group) is a tech accelerator that empowers engineers to become leaders in Data &amp; Cloud. We combine top-tier consulting work with a powerful learning journey.
 
 
 You&rsquo;ll work four days per week at one of our partner companies and spend one day per week on structured training, mentorship, and innovation.
 
 
 After one year with us, you&rsquo;ll have the opportunity to join one of our partner companies directly and continue your impact.
 
 
 
 
 
 
 📩 Ready to Take the Next Step? We&rsquo;d love to meet you!
 
 
 
 📧 Contact Samantha Goncalves &ndash; sgoncalves@xccelerated.io
 
 
 📞 Call us at: +31613889770
 
 
 
 
 
 
 📋 Application Process
 
 
 <ol>
 <li>
 First interview with one of our recruitment consultants
 </li>
 <li>
 Technical assessment and presentation with one of our Tech Leads (remote)
 </li>
 </ol>
 
 
 
 
 We aim to complete the process within 1&ndash;3 weeks, depending on your availability. Looking forward to hearing from you!
 
</div>

Data Engineer

SLTN

<div>
 
 F
 
 or this assignment, we are looking for candidates who have excellent communication skills in Dutch (spoken and written)
 
 
 
 
 
 Omschrijving
 
 
 
 De directie Kennis verzamelt en analyseert onderwijsdata, doet thematisch onderzoek en ontwikkelt informatieproducten voor toezicht. Daarvoor analyseren we al decennia databestanden. In de afgelopen jaren is onze data-ambitie gegroeid: meer bronnen, complexere analyses, hogere eisen aan reproduceerbaarheid en verantwoording. Onze data infrastructuur is echter niet evenredig meegegroeid, waardoor nu de behoefte aan professionalisering is ontstaan.
 
 
 De Directie Kennis van de Inspectie van het Onderwijs werkt met veel (grote) databestanden, en wil de data architectuur professionaliseren. We zoeken een data engineer die ons kan helpen bij de overgang van dataopslag op netwerkschijven, naar een professionele data-architectuur, bestaande uit een datawarehouse met pipelines en datalineage. De opdracht omvat het opzetten van deze data architectuur, maar ook het adviseren op een organisatiestructuur om dit duurzaam mee te borgen.
 
 
 
 Functiecriteria
 
 
 
 <ul>
 <li>
 Data Engineering
 </li>
 <li>
 Data Science
 </li>
 <li>
 5 jaar Hbo of WO werk- en denkniveau bij voorkeur in een technische of kwantitatieve richting (zoals informatica, data science of een verwante discipline) en begrijpt hoe datagovernance en informatiebeveiliging werken
 </li>
 <li>
 5 jaar Zeer ervaren als data engineer of in een vergelijkbare technische datarol en aantoonbare
 </li>
 <li>
 ervaring met moderne data-platformen, zoals datawarehouses en pipeline-omgevingen
 </li>
 <li>
 5 jaar Ervaring met SQL, Python, en/of R, en met versiebeheer via Git, daarnaast ervaring met tools voor data-orkestratie en - transformatie, zoals dbt, Airflow of vergelijkbare tooling
 
 
 </li>
 </ul>
 
 Functiewensen
 
 
 
 <ul>
 <li>
 Je bent analytisch en oplossingsgericht.
 </li>
 <li>
 Je kunt complexe zaken helder uitleggen.
 </li>
 <li>
 Je bent nieuwsgierig en stelt vragen om te komen tot een passende oplossing.
 </li>
 <li>
 Je deelt graag je kennis met je collega&rsquo;s.
 </li>
 <li>
 Organisatiesensitiviteit
 </li>
 <li>
 Je kunt goed samenwerken met niet-technische collega&rsquo;s en hun behoeften vertalen naar techniek
 
 
 </li>
 </ul>
 
 Inzetgegevens
 
 
 
 03-08-2026 tm 02-04-2027 met optie verlenging
 
 
 36 uur per week
 
 
 Utrecht
 
 
 ZZP: Nee
 
 
 Stuur ons
 
 uiterlijk 3 juli 2026, voor 09:00 uur
 
 jouw NL CV in Word, motivatie, beschikbaarheid en uurtarief.
 
 
 Aanvraagkenmerk (#1060908)
</div>

wolk

<div>
 
 
 Join Wolk: Accelerate sustainable innovation with Data and AI
 
 🌱
 
 
 
 
 
 
 Please keep in mind that we require applicants to already live in the Netherlands.
 
 
 
 
 
 
 
 About Wolk
 
 
 
 At Wolk, we're on an exciting mission to create meaningful change through the power of data and AI. We are a young, growing company aiming to accelerate sustainable innovation with modern data solutions. We partner with forward-thinking companies that contribute to a more sustainable future. With data driven insights, we help them make informed decisions and optimize operations.
 
 
 
 
 
 For more info, you can check out our website: https://www.wolk.work/
 
 
 
 
 
 
 New sovereign data &amp; AI platform development - Databaas
 
 
 
 We're currently also building Databaas, our own sovereign data &amp; AI platform. It is built on open source tooling and runs on any EU cloud. We want this platform to compete with Databricks and Snowflake, which are not available on EU clouds, and we need you to take it to the next level.
 
 
 
 
 
 More info here: https://www.databaas.eu/
 
 
 
 
 
 
 Role overview:
 
 
 
 In this role, you will partly build custom data &amp; AI solutions for our customers, and partly develop Databaas. In details, you will:
 
 
 
 
 <ul>
 <li>
 Design and shape data and AI solutions that help solve societal problems
 </li>
 <li>
 Collaborate with a team of experienced data &amp; AI specialists
 </li>
 <li>
 Work on a diverse set of projects, ranging from building data platforms to custom software solutions
 </li>
 <li>
 Help clients understand how data and AI can solve their problems and scale their business
 </li>
 <li>
 Be a key player in our growing, impact-driven organization
 </li>
 <li>
 Contribute to the development of Databaas: building features, improving the platform, and making it production-ready for customers
 </li>
 </ul>
 
 
 
 
 
 This role is for you if:
 
 
 <ul>
 <li>
 You're passionate about using technology for positive change
 </li>
 <li>
 You've spent 5+ years working in the data and AI space
 </li>
 <li>
 You have programming experience with languages like SQL, Python or other.
 </li>
 <li>
 You have experience with tools like dbt, SQLMesh, Spark, Trino, or similar data stack components
 </li>
 <li>
 You have experience with PydanticAI, LangChain, LangGraph, or similar AI stack components.
 </li>
 <li>
 You are comfortable with cloud infrastructure and Infrastructure-as-code (e.g. Scaleway, OVHcloud, Azure)
 </li>
 <li>
 You have experience working with Docker and Kubernetes, and understand CI/CD concepts
 </li>
 <li>
 You understand how to utilise coding agents in your work, without losing quality.
 </li>
 <li>
 You have an entrepreneurial spirit and are able to lead projects
 </li>
 <li>
 You have experience and desire to work in a client facing role
 </li>
 <li>
 You are a good communicator and fluent in English
 </li>
 <li>
 You are willing to commute to our office in Utrecht and to client locations (in the Netherlands) a few times each week
 </li>
 </ul>
 
 
 
 
 
 Our approach:
 
 
 <ul>
 <li>
 We work on projects from start to end. This often starts with a design sprint, then we build an MVP, and after that we take care of full scale implementation
 </li>
 <li>
 We work with the latest technologies and are always open to try new ideas and experiment
 </li>
 <li>
 We are a small team with a flat organisational structure, you will be working directly with the founders
 </li>
 <li>
 We always work in teams, lead by an experienced engineer. This keeps our quality high, and ensures that we can learn from each other.
 </li>
 <li>
 We encourage you to share your work and learnings by means of writing or (internal) demos
 </li>
 <li>
 We are a diverse team in which everybody can be who they are
 </li>
 </ul>
 
 
 
 
 Check out our team and values here: https://www.wolk.work/about
 
 
 
 
 
 
 We believe that confidence gaps and imposter syndrome can deter talented people from applying. Even if you don't tick all the boxes but are excited about our mission - we'd love to hear from you!
 
 
 
 
 
 
 
 What we offer:
 
 
 <ul>
 <li>
 Genuine impact: your work directly contributes to sustainability, social change and digital sovereignity
 </li>
 <li>
 Work-life balance: 35 vacation days because we believe in recharging. In addition, you also have the ability to work from abroad a few weeks a year
 </li>
 <li>
 Competitive package: &euro;5.000-&euro;6.000 gross monthly, depending on your experience
 </li>
 <li>
 Modern setup: latest MacBook Pro and tools you need to succeed
 </li>
 <li>
 Unlimited access to LLM tokens for work related purposes (pick your weapon of choice)
 </li>
 <li>
 Flexible working: mix of in-office and remote work
 </li>
 <li>
 Location: office in the beautiful Werkspoorfabriek in Utrecht
 </li>
 <li>
 Travel: your own NS business card
 </li>
 <li>
 Learning culture: work on R&amp;D projects that spark your curiosity and help develop a new product
 </li>
 <li>
 Team spirit: regular team trips, borrels, events, and yes - amazing havercappu&rsquo;s ☕
 </li>
 </ul>
 
 
 
 
 
 Recruitment process:
 
 
 
 Application deadline: 8 July 2026
 
 
 Introduction phone call (13-15 July)
 
 
 Technical interview (20-23 July)
 
 
 Contract offer (27-30 July)
 
 
 Starting date: 1st of September 2026
 
 
 
 
 
 
 Ready to create change?
 
 
 
 We'd love to hear your story! Send your CV and tell us what excites you about joining Wolk to recruitment@wolk.work
 
 
 
 
 
 No perfect cover letter needed - just share your enthusiasm and what you hope to bring to the team.
 
 
 
 
 
 Questions before applying? Feel free to reach out to Jelle van Miltenburg at jelle@wolk.work - we're happy to chat!
 
</div>

Data & AI Engineer

Rabobank

<div>
 
 This Is What We Offer You
 
 
 
 <ul>
 <li>
 Salary: Gross monthly salary between EUR 3,516 and EUR 5,021 (scale 07) for a 36-hour work week.
 </li>
 <li>
 Extras: a thirteenth month, 8% holiday allowance, and a 10% Employee Benefit Budget.
 </li>
 <li>
 Development budget: EUR 1,400 development budget per year for your growth and development.
 </li>
 <li>
 Hybrid working: a balance between home and office work (possible for most roles).
 </li>
 <li>
 Pension: decide for yourself the amount of your personal contribution.
 
 
 </li>
 </ul>
 Or view all our benefits.
 
 
 Join Rabobank as a junior Azure Data Engineer at the Information Factory Payments &amp; Savings (IFP) and help us transform payments and savings data into valuable insights. IFP is a key data warehouse that processes vast amounts of payments and savings data daily, transforming it into valuable information products. We support business partners with insights and overviews of their products and processes, and handle external reporting to regulators and other organizations.
 
 
 
 You and your job
 
 
 
 <ul>
 <li>
 Assist in developing and implementing new functionalities in the Information Factory Payments &amp; Savings
 </li>
 <li>
 Contribute to ETL processes to fetch and model data, integrate it into our data warehouse, and prepare it for reporting or usable data products
 </li>
 <li>
 Collaborate with experienced engineers and other teams to deliver data solutions according to our standards
 
 
 </li>
 </ul>
 
 Practical examples
 
 
 
 <ul>
 <li>
 Dashboards for product managers to assist them in product development and tapping into new markets
 </li>
 <li>
 Report functionality and operational datasets used in our daily banking to serve our customers
 </li>
 <li>
 Regulatory reporting to the Dutch National Bank and the Dutch tax authority
 
 
 </li>
 </ul>
 As a Junior Azure Data Engineer, you will mainly work on the back-end side and learn how to transform raw data into usable information. You will receive guidance from experienced colleagues and gradually build your knowledge.
 
 
 
 Facts &amp; Figures
 
 
 
 <ul>
 <li>
 40 hours per week
 </li>
 <li>
 Join our team and work with over 350 database tables containing more than 40 terabytes of data
 </li>
 <li>
 43,822 Rabobank colleagues around the world
 
 
 </li>
 </ul>
 
 Top 3 Responsibilities
 
 
 
 <ul>
 <li>
 Support in developing and implementing new functionalities
 </li>
 <li>
 Contribute to ETL processes and data integration into the data warehouse
 </li>
 <li>
 Learn about data governance, security, and performance optimization
 
 
 </li>
 </ul>
 You will work Agile Scrum based, in a squad together with Business Analists, fellow Data DevOps engineers and a Product Owner. You will learn and stay updated with the latest industry trends and technologies to enhance data engineering practices.
 
 
 
 You and your talent
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree, preferably in IT, data, or a related field
 </li>
 <li>
 0-2 years of experience in data engineering or a similar role (internship experience is welcome)
 </li>
 <li>
 Eager to learn, proactive, and motivated to develop yourself
 </li>
 <li>
 Knowledge of and experience with Databricks, Azure and cloud technologies
 </li>
 <li>
 Experience with PowerBI is a plus
 </li>
 <li>
 Basic knowledge of and/or experience with SQL, DBT and Python
 </li>
 <li>
 Knowledge and experience with ETL and data modelling, preferably dimensional modelling, is a big plus
 </li>
 <li>
 Excellent analytical and problem-solving skills
 
 
 </li>
 </ul>
 If you do not meet all the requirements but firmly believe that you can make a valuable contribution, do not hesitate to send us your motivation
 
 
 
 Together we achieve
 
 
 
 We believe in the power of difference. Bringing together people's differences is what makes us an even better bank. So we are very curious about what you can bring to our team at IFP.
 
 
 
 &lsquo;Being part of our team means helping Rabobank unlock the full potential of their Payments and Savings data. Collaborating actively with your business stakeholders and team members within a dynamic, social and warm environment. Your skills as a Data Engineer are indispensable to me!&rsquo;
 
 
 
 Armando Bocken, Business Analyst
 
 
 Working together is the way we work; as 1 data-minded team at Rabobank. Speaking of Rabobank: we are a Dutch bank that operates in 38 countries for over 9,500,000 customers. Together with these customers, our members and partners we stand side by side to create a world in which everyone has access to enough healthy food. In the Netherlands, we work to create a country in which people are happy with how they live, work and do business.
 
 
 
 Your development as a young professional
 
 
 
 Within this programme, you will have the opportunity to get to know yourself, the field of data engineering and Rabobank. The programme lasts 18 months. You will start in a junior position within one team, take part in workshops and training modules with other young professionals and quickly gain practical experience.
 
 
 Together with others, there is room for creativity and initiative to organise events, training sessions and knowledge-sharing sessions. This helps us improve the programme and ourselves. You will also build a valuable network within Rabobank.
 
 
 The programme itself starts on 1 October. For this role, we would like you to start on 1 September, so you have time to land in the team before the programme begins.
 
 
 
 Learning From Each Other
 
 
 
 Development is our top priority. Because the best way to learn is by doing, through mistakes and successes. At Rabobank, we offer you the right balance between freedom and guidance. This helps you develop talents you may not yet know you have. During your Early Career Programme, you can count on support from experienced colleagues, your team and other young professionals.
 
 
 
 You and the job application process
 
 
 
 At Rabobank, we believe our differences make us stronger. By bringing together people with different perspectives and backgrounds, we become a better bank. We would love to hear what you can bring to our team.
 
 
 <ul>
 <li>
 Any questions about working at Rabobank or about the process? Please contact Maaike van den Bosch, Corporate Recruiter, via Maaike.van.den.bosch@Rabobank.nl.
 </li>
 <li>
 A technical assessment and/or personality assessment may be part of the selection process.
 </li>
 <li>
 Interviews will take place via Microsoft Teams or at our office in Utrecht.
 </li>
 <li>
 Please make sure to upload your resume and cover letter, in that way we can take your application into consideration.
 </li>
 <li>
 A security check is part of the process.
 </li>
 <li>
 We respect your privacy.
 </li>
 </ul>
</div>

Junior Azure Data Engineer – Information Factory Payments / Cluster Data Tribe Payments & Savings (Early career program)

Infosys

<div>Role &ndash; Data Engineer / Tech lead 
Technology &ndash; Databricks, Python, MS Azure, DWH, SQL 
Location &ndash; Utrecht, Netherlands 
Compensation &ndash; Competitive (including bonus) 
 
Job Description 
Technical requirement: 
<ul><li>Design and develop scalable data pipelines that ingest, transform, and deliver data from multiple source systems to downstream consumers.</li><li>Work with large and complex datasets using distributed data processing frameworks and cloud-based data platforms.</li><li>Translate business and technical requirements into reliable data solutions that are maintainable, reusable, and production-ready.</li><li>Build data transformation logic for cleansing, standardization, deduplication, enrichment, aggregation, and preparation of analytical datasets.</li><li>Apply sound data engineering principles around modular design, reusability, automation, testing, and operational reliability.</li><li>Handle common real-world data challenges such as late-arriving data, duplicate records, source inconsistencies, schema changes, and reprocessing requirements.</li><li>Improve performance and efficiency of data processing workloads by analyzing bottlenecks and applying appropriate optimization techniques.</li><li>Implement data quality and control mechanisms to ensure accuracy, completeness, traceability, and trust in delivered datasets.</li><li>Collaborate and communicate effectively with architects, analysts, business users, and platform teams to understand requirements, explain technical decisions, and support solution delivery.</li><li>Operate and support production data pipelines, including monitoring, troubleshooting, incident resolution, and continuous improvement.</li></ul> 
Required 
<ul><li>Databricks Handson expertise with consulting level exposure</li><li>Python and Azure</li></ul> 
Preferred 
<ul><li>Good communication skills with stakeholder management skills</li></ul> 
Personal 
Besides the professional qualifications of the candidates we place great importance in addition to various forms personality profile. These include: 
<ul><li>High analytical skills</li><li>A high degree of initiative and flexibility</li><li>High customer orientation</li><li>High quality awareness</li><li>Excellent verbal and written communication skills</li></ul> 
Overview 
Infosys is a global leader in next-generation digital services and consulting. We enable clients in 59 countries to navigate their digital transformation. 
With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer clients, in 59 countries, as they navigate their digital transformation powered by cloud and AI. We enable them with an AI-first core, empower the business with agile digital at scale and drive continuous improvement with always-on learning through the transfer of digital skills, expertise, and ideas from our innovation ecosystem. We are deeply committed to being a well-governed, environmentally sustainable organization where diverse talent thrives in an inclusive workplace. 
 
All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer.</div>

Senior Consultant_ Azure Databricks

Rebels

<div>
 
 
 DevOps Engineer Data Warehouse / BI | &euro;7.000 bruto per maand | Utrecht
 
 
 
 
 
 
 Voor een grote financi&euml;le organisatie zoeken wij een DevOps Engineer met sterke ervaring binnen Data Warehousing, BI en ETL. Binnen deze functie werk je aan een bedrijfskritisch dataplatform voor finance, risk en regulatory reporting.
 
 
 Dit platform bevat finance- en riskdata van verschillende bedrijfsonderdelen en wordt gebruikt voor interne rapportages, externe rapportages en rapportages richting toezichthouders. Het gaat dus niet om een standaard reporting tool, maar om een strategisch dataplatform binnen een complexe banking omgeving.
 
 
 
 
 
 
 De rol
 
 
 
 
 
 
 Als DevOps Engineer ben je verantwoordelijk voor het bouwen, onderhouden en verbeteren van data warehouse- en BI-oplossingen binnen een groot finance- en riskdataplatform. Je werkt aan technische verbeteringen, performance, stabiliteit, kwaliteit, testing, documentatie en CI/CD-processen.
 
 
 Je werkt binnen een Risk &amp; Finance IT-organisatie, in een omgeving waar data, compliance, reporting en betrouwbaarheid centraal staan.
 
 
 
 
 
 
 Wat ga je doen
 
 
 
 Bouwen en onderhouden van data warehouse- en BI-oplossingen.
 
 
 Werken met ETL-processen en complexe dataflows.
 
 
 Ontwikkelen en verbeteren van oplossingen binnen Informatica PowerCenter.
 
 
 Schrijven en optimaliseren van SQL.
 
 
 Analyseren van technische issues en performancevraagstukken.
 
 
 Verbeteren van stabiliteit, kwaliteit en onderhoudbaarheid van het platform.
 
 
 Werken met Git, Jenkins en/of Azure Pipelines.
 
 
 Ondersteunen van testing, documentatie en releaseprocessen.
 
 
 Meedenken over technische oplossingen binnen een Agile/Scrum team.
 
 
 Samenwerken met developers, data specialisten, architecten en business stakeholders.
 
 
 
 
 
 
 Profiel
 
 
 
 HBO werk- en denkniveau.
 
 
 Ervaring als DevOps Engineer binnen een BI- of data warehouse omgeving.
 
 
 Sterke SQL-kennis.
 
 
 Ervaring met ETL development en ETL best practices.
 
 
 Ervaring met Informatica PowerCenter.
 
 
 Ervaring met CI/CD, Git, Jenkins en/of Azure Pipelines.
 
 
 Kennis van data modelling, zoals DataVault, dimensioneel of relationeel modelleren.
 
 
 Ervaring met Agile/Scrum.
 
 
 Kwaliteitsgerichte mindset.
 
 
 Ervaring binnen banking, finance, risk of credit risk is sterk relevant.
 
 
 Goede beheersing van de Engelse taal.
 
 
 Nederlands is een pr&eacute;.
 
 
 Nice to have
 
 
 SAP Hana XSA.
 
 
 SAP PowerDesigner.
 
 
 FitNesse / Gherkin.
 
 
 BI testing methodologies.
 
 
 Ervaring binnen regulatory reporting of risk reporting.
 
 
 
 
 
 
 Voorwaarden
 
 
 <ul>
 <li>
 
 Salaris tot circa &euro;7.000 bruto per maand.
 
 </li>
 <li>
 Permanent contract.
 </li>
 <li>
 Utrecht.
 </li>
 <li>
 Werken binnen een groot banking data platform.
 </li>
 <li>
 Complexe Data Warehouse / BI omgeving.
 </li>
 <li>
 Focus op finance, risk en regulatory reporting.
 </li>
 <li>
 Agile/Scrum werkomgeving.
 </li>
 <li>
 Engels vereist, Nederlands is een pr&eacute;.
 </li>
 </ul>
 
 
 
 
 Bij interesse ontvang je aanvullende informatie over de organisatie, het team en de verdere invulling van de functie.
 
</div>

DevOps Engineer Data Warehouse / BI

<div><div><div>Heb jij ruime ervaring met complexe zorgdata en weet je precies hoe financi&euml;le zorginformatie vertaald wordt naar betrouwbare BI-oplossingen? Dan krijg je bij ons de ruimte om jouw expertise maximaal in te zetten.

Als ervaren BI Developer speel je een sleutelrol in onze BI-omgeving. Je ontwikkelt niet alleen nieuwe informatieproducten, maar denkt ook mee over de architectuur, data-kwaliteit en de verdere ontwikkeling van onze data-omgeving. Dankzij jouw kennis van financi&euml;le zorgdata help je ziekenhuizen om betere beslissingen te nemen op basis van betrouwbare informatie.
</div></div><div><h2 class="jobSectionHeader">De functie</h2>
<div>Je bent verantwoordelijk voor de ontwikkeling van complexe BI-oplossingen en fungeert als inhoudelijke sparringpartner binnen het team. Je schakelt met interne stakeholders, vertaalt complexe vraagstukken naar technische oplossingen en helpt collega's verder met jouw expertise.

Je houdt je onder andere bezig met:
<ul><li>
Het ontwikkelen van complexe BI-oplossingen en informatieproducten.
</li><li>Het ontwerpen en optimaliseren van ETL-processen.
</li><li>Het adviseren over data-architectuur en BI-oplossingen.
</li><li>Het vertalen van complexe informatievragen naar schaalbare oplossingen.
</li><li>Het bewaken van de kwaliteit, betrouwbaarheid en performance van de dataomgeving.
</li><li>Het coachen en inhoudelijk ondersteunen van collega's binnen het BI-team.</li></ul>

Je komt terecht in een ambitieus team van acht BI Developers waarin samenwerken, kennis delen en continu verbeteren centraal staan. Binnen het team krijg je veel ruimte om richting te geven aan technische keuzes, mee te denken over de toekomst van onze data-architectuur en jouw kennis over te dragen aan collega's.
</div></div><div><h2 class="jobSectionHeader">Wij zoeken</h2>
<div>Je bent een ervaren BI-specialist die overzicht houdt in complexe datalandschappen. Je begrijpt hoe financi&euml;le zorgdata is opgebouwd, kunt snel verbanden leggen en weet technische oplossingen te vertalen naar praktische toepassingen voor de business.

Verder herken je jezelf in het volgende:
<ul><li>WO werk- en denkniveau.</li><li>
Minimaal vijf jaar ervaring als BI Developer, Data Engineer of vergelijkbare functie.
</li><li>Aantoonbare ervaring met grote, complexe datasets binnen het zorgdomein.
</li><li>Gedegen kennis van financi&euml;le zorgdata, waaronder DBC-registraties.
</li><li>Ervaring met SQL Server, ETL-processen en datamodellering (Kimball).
</li><li>Goede beheersing van de Nederlandse taal.
</li><li>Bij voorkeur ervaring met Azure DevOps, Azure Data Factory en Python.</li></ul>
</div></div><div><h2 class="jobSectionHeader">Wij bieden</h2>
<div>Wij bieden een afwisselende en uitdagende functie voor 32-36 uur per week. Je gaat deel uitmaken van de afdeling Databeschikbaarheid &amp; Informatisering. In deze rol krijg je veel vrijheid en verantwoordelijkheid. Er is binnen DHD en op de afdeling een open en collegiale werksfeer, waarin samenwerking centraal staat.

Verder kun je rekenen op:
<ul><li>
Ruime mogelijkheden voor persoonlijke groei en ontwikkeling.</li><li>
Hybride werken en flexibele werktijden.</li><li>
Een aanstelling voor een jaar met uitzicht op verlenging voor onbepaalde tijd.</li><li>
Salaris tussen &euro; 5.297 en &euro; 5.757 bruto per maand bij een 36-urige werkweek, afhankelijk van kennis en ervaring.
</li><li>8,33% vakantiebijslag en een eindejaarsuitkering van 8,33%.</li><li>
Pensioenregeling.</li><li>
Thuiswerkvergoeding en telefoonvergoeding.</li><li>
Reiskostenvergoeding en/of een NS Businesscard.</li><li>
144 uur vakantie en 57 uur levensfasebudget (bij een 36-urige werkweek).</li><li>
De mogelijkheid om extra vakantiedagen bij te kopen.</li><li>
Een fijn team van collega&rsquo;s en er wordt veel samen georganiseerd, zoals een bedrijfsuitje, spelletjesavond of tennistoernooi.
</li><li>Overige secundaire arbeidsvoorwaarden conform Cao Ziekenhuizen.</li></ul>
</div></div><div><h2 class="jobSectionHeader">Meer informatie</h2>
<div>De sollicitatieprocedure bestaat uit twee gesprekken, gevolgd door een afrondend arbeidsvoorwaardengesprek. Als onderdeel van het sollicitatieproces zullen wij openbare bronnen als sociale media raadplegen en referenties bij je opvragen. Daarnaast is het overleggen van een Verklaring Omtrent Gedrag (VOG) onderdeel van je sollicitatie.

Neem voor meer informatie over de functie contact op met Manon Maarseveen, co&ouml;rdinator BI, via 030 799 61 65 of mail naar werkenbij@dhd.nl.
In onze privacyverklaring voor sollicitanten lees je hoe wij omgaan met de persoonsgegevens van onze sollicitanten.
</div></div><div><h2 class="jobSectionHeader">Solliciteren</h2>
<div>Zie jij jezelf in deze rol? We maken graag kennis met je! Upload hieronder je cv en motivatiebrief.</div></div></div>
 <div><h4 class="jobSectionHeader">Ge&iuml;nteresseerd?
</h4><div></div><div><div>Databeschikbaarheid &amp; Informatisering
</div><div></div><div>WO
</div><div></div><div>32-36 uur</div></div></div><div></div>

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