€65000 - €75000 per annum




Een groeiend consultancy bedrijf in Utrecht is op zoek naar een ervaren Nederlandstalige Data Engineer. In deze rol ga je als consultant aan de slag bij verschillende toonaangevende bedrijven (in de regio) en werk jij aan software gedreven producten en machine learning-modellen.

Het bedrijf

Je krijgt de kans om te werken bij een gespecialiseerde consultancy met een groot netwerk van klanten, verspreid over verschillende branches in Nederland. Voorbeelden van bedrijven zijn: KLM en ING. Je komt terecht in een klein team dat streeft naar een goede samenwerking en fijne werkcultuur, waarin jij jezelf kan ontwikkelen en kan leren van jouw collega's.

De rol

Als Data Engineer werk je aan verschillende projecten voor jouw klanten.

Je houdt je bezig met:

- Ontwerpen en implementeren van data gedreven softwareproducten.

- 4 dagen werken op de locatie van de klant en op vrijdag samenwerken met je team voor training en kennisdeling.

- Je werkt met Machine learning-modellen, data pipelines en werkt aan het bouwen van applicaties.

- Je werkt met gevarieerde technologie, waaronder GCP, AWS, Azure, open-source technologie en CI / CD-tooling.

Jouw ervaring en vaardigheden

Voor deze functie gelden een aantal eisen:

- Een afgeronde Master studie in Informatica of relevant vakgebied.

- Jij bent vloeiend in het spreken en schrijven van de Nederlandse taal.

- Je hebt een achtergrond in data- of software engineering.

- Zeer goede ervaring met: Kafka, Spark, Kubernetes en Docker.

- Je bent een ervaren programmeur in Scala en / of Python.


- Je krijgt de kans om te werken bij een gespecialiseerde consultancy met een groot netwerk aan toonaangevende klanten.

- 1 dag per week om kennis te delen en technische expertise te ontwikkelen.

- 13e maandsalaris.

- Mobiliteitsvergoeding.

- Teamgerichte werkcultuur waar ontwikkeling wordt gestimuleerd door middel van een ruim opleidingsbudget.

Heb jij interesse?

Word jij enthousiast van bovenstaande beschrijving? Reageer dan met jouw CV via de sollicitatielink. Heb jij vragen? Stuur dan een e-mail naar: Mathieu Wilken.


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With over 10 years experience working solely in the Data & Analytics sector our consultants are able to offer detailed insights into the industry.

Visit our Blogs & News portal or check out our recent posts below.

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It Takes Two: Data Architect Meets Data Engineer

Information. Data. The lifeblood of business. Information and data are used interchangeably, gathered, collected, and analysed to create actionable insights for informed business decisions. So, what does that mean exactly? And to that end, how do we know what information or data we need to make those decisions? Enter the Data Architect. The Role of a Data Architect Just like you might hire an architect to sketch out your dreamhouse, the Data Architect is a Data Visionary. They see the full picture and can craft the design and framework creating the blueprint for the Data Engineer, who will ultimately build the digital framework. Data Architects are the puzzle solvers who can take a jumble of puzzle pieces, in this case massive amounts of data, and put everything in order. It’s their job to figure out what’s important and what isn’t based on an organisation's business objectives. Skills for a Data Architect might include: Computer Science degree, or some variation thereof.Plenty of experience working with systems and application development.Extensive knowledge and able to deep dive into Information ManagementIf you’re just starting your Data Architect path, be prepared for years of building your experience in data design, data storage, and Data Management. The Role of a Data Engineer The Data Engineer builds the vision and brings it to life. But they don’t work in a vacuum and are integral to the Data Team working nearly in tandem with the Data Architect. These engineers are building the infrastructure – the pipelines and data lakes. Once exclusive to the software-engineering field, the data engineer’s role has evolved exponentially as data-focused software became an industry standard. Important skills for a Data Engineer might include. Strong developer skills.Understand a host of technologies such as Python, R, Hadoop, and moreCraft projects to show what you can do, not just talk about what you can do – your education isn’t much of a factor when it comes to data engineering. On the job training does it best.Social and communication skills are critical as you map initial designs, and a love of learning keeps everything humming along, even as technology libraries shift, and you have to learn something new. The Major Differences between the Data Architect and Data Engineer RolesAs intertwined as these two roles might seem, there are some crucial differences. Data Architect Crafts concept and visualises frameworkLeads the Data Science teams Data Engineer Builds and maintains the frameworkProvides supporting framework With a focus on Database Management technologies, it can seem as though Data Architect and Data Engineer are interchangeable. And at one time, Data Architects did also take on the Data Engineering role. But the knowledge each has is used differently.  Whether you’re looking to enter the field of Data Engineering, want to move up or over with your years of experience to Data Architect, or are just starting out. Harnham may have a role for you. Check out our current opportunities or get in touch with one of our expert consultants to learn more.  

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