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Data Engineer Utrecht Valcon

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Gevraagd

  • 37 - 40 uur
  • Engels (taal)

Aanbod

  • Vast contract
  • Bonusregeling, Auto v/d zaak, Reiskostenvergoeding
 

Vacature in het kort

Utrecht
Are you a skilled Data Engineer eager to work on exciting data projects? The company of the opdrachtgever is seeking someone to design and maintain data pipelines using cloud technologies like Azure, AWS, or GCP. You'll collaborate with diverse teams to create solutions that drive success. Enjoy a flexible work culture, competitive benefits, a company car or mobility budget, and an affordable sports membership. Join a vibrant community that values work-life balance and offers opportunities like sabbaticals. Keep reading to see how you can shine in this role.
 

Over het bedrijf

Valcon
Directe werkgever
Bedrijfsprofiel
 

Volledige vacaturetekst

Data Engineer

Are you a talented Data Engineer ready to make an impact by working on cutting-edge data projects?

We are currently looking for a Data Engineer who is passionate about designing, developing, and maintaining robust data pipelines that will drive the success of our data-driven solutions.


What will you do?

In this role, you will play a crucial role in designing, developing, and maintaining data pipelines to ingest, transform, and process large volumes of structured and unstructured data. You will collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements and deliver tailored solutions that meet business needs.
You will ensure that data pipelines are scalable, reliable, and optimized for performance, while also implementing data quality checks and validation processes to maintain the integrity of the data throughout its lifecycle.
Using cloud-based technologies such as Azure, AWS, or GCP, you will deploy and manage data solutions, and use tools like Spark, Databricks, or Python to handle big data processing and transformations. Monitoring and troubleshooting data workflows will be key to ensuring minimal disruption to operations.
You will also contribute to documentation and knowledge sharing within the team, fostering a culture of collaboration and continuous learning.


What do we offer you
  • Personal development: a tailor-made growth path with training, courses, certification and mentoring by experienced colleagues.
  • An innovative work environment: collaborate with a team of experts pushing boundaries in data, technology, and consulting.
  • Immediate impact and responsibility: you’ll make a difference for our clients from day one and are entrusted with responsibilities that challenge you to bring the best out of yourself.
  • Inspiring work culture: a supportive, flexible, and no-nonsense environment that fosters your growth and fully allows you to be yourself.
Additionally, we offer:
  • Competitive employment benefits, including bonuses and expense allowance.
  • A company car or mobility budget.
  • A workplace that prioritizes and respects your work-life balance (for example by offering you the option of taking a sabbatical or expand the amount of holidays per year).
  • An affordable sports membership that allows you to participate in 50 different sports offered by over 10,000 partners.
  • A vibrant community that organizes both professional and social events.
Ready to apply?

Has the above sparked your interest and are you ready to join our innovative and impactful environment? And do our core values – Together, Joy, Curious, Can do, and Integrity – resonate with you?
Our recruitment team would be happy to hear from you!
 


Experience
  • 2+ years of experience as a Data Engineer or in a related role.
  • Proficiency in programming languages such as Python, SQL, or Scala for data processing.
  • Hands-on experience with data pipeline tools and frameworks like Apache Spark, Databricks, or Airflow.
  • Knowledge of cloud platforms (e.g., Azure, AWS, or GCP) and their data-related services (e.g., Azure Data Factory, AWS Glue).
  • Experience working with relational and non-relational databases (SQL, NoSQL).
  • Familiarity with data modeling, ETL/ELT processes, and data architecture concepts.
  • Strong problem-solving skills and attention to detail.
  • Ability to work effectively in project teams, collaborating with both technical and non-technical colleagues.
  • Clear communication skills to explain technical concepts to diverse audiences
  • Preferably, you also have: Experience with real-time or streaming data tools such as Kafka or Event Hubs, Certifications in Azure, AWS, or GCP, and an understanding of data governance and security principles
Keywords
  • Pyspark, Databricks, Terraform, Github
Location

Netherlands

Apply today!

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