Aanvragen | Data Engineer

Data Engineer

40 uur

40 uur

Tarief: Marktconform

Tarief: Marktconform

Deta-vast

Deta-vast

HBO

HBO

Functieomschrijving

Voor onze klant in Zeeland (hybride werken) zijn we op zoek naar een Data Engineer, op basis van deta-vast.

 

As the Data Engineer, you hold a key position in the creation and enhancement of the informed decision-making capabilities in the organisation. You’d be joining a new team, currently small, yet with great ambitions. You will design and maintain the data infrastructure that is crucial for connecting, organizing, and unlocking data within the organisation.

 

Responsibilities: 

  • Integrating diverse data sources to ensure a streamlined and standardized process for efficient data loading into the data warehouse.
  • Developing and deploying ETL processes for loading data, such as Oracle Server with SSIS and SQL Server.
  • Providing technical and proactively resolving potential problems.
  • Delivering and maintaining standardized documentation of all ETL processes, data models, and configuration for future reference and knowledge sharing.
  • Collaborating with (multidisciplinary) teams for the seamless integration of data into organization-wide processes.
  • Optimizing data models and queries to enhance the performance of reports, developing automated solutions for data processing, and actively seeking opportunities to improve the usability and relevance of reports.
  • Mentoring team members and actively contributing to knowledge-sharing initiatives.
  • Staying abreast of and applying the latest trends and innovations in the field of data engineering by participating in conferences and workshops and by conducting experiments with emerging tools and technologies to evaluate their relevance and potential benefits for the company.

 

Skills & experience: 

  • 5+ years of experience delivering data engineering solutions using SSIS and SSAS on-prem.
  • Solid understanding of data modeling concepts, including relationships, measures, and calculations.
  • Experience with data warehousing, ETL processes and optimization techniques.
  • Experience with SSIS, SSAS and SSRS stack on prem.
  • Experience with Data Management, preferably within large and international companies.
  • Bachelor’s or master’s degree in computer science, Information Technology, or a related field.
  • Excellent references antecedents as a pre-employment security screening is standard part of the recruitment procedure.

 

Ben jij de geschikte kandidaat voor deze rol?

We ontvangen graag je profiel in Word formaat. Bij vragen of interesse laat het vooral weten!

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