Data Engineer

Afdrukken E-mailen
Eindhoven, Netherlands
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
€ 4K

Job location

Eindhoven, Netherlands

Tech stack

Azure
Databases
Customer Data Management
Data Governance
ETL
Data Mart
Data Visualization
Data Warehousing
Python
Metadata
Microsoft Software
Power BI
SQL Databases
SQL Server Reporting Services
SQL Server Integration Services
SQL Server Analysis Services
Unstructured Data
Snowflake
Build Management
Data Management
Databricks

Job description

As a data engineer at Valid, you know better than anyone how to convert customer data into useful information. Our clients are mainly found in industry, business services, housing cooperatives and real estate. In this role you are responsible for the development and maintenance of data platforms at our clients. Do you have experience setting up data platforms that manage and secure the flow of structured and unstructured data from multiple sources? Then this position is right up your alley., * The design and architecture of data platforms to suit the specific needs and environment of the customer;

  • Setting up Azure cloud infrastructures on which those data platforms will run;
  • Retrieve, transform, validate and cleanse data to meet functional and non-functional business requirements;
  • Participate in and develop data marts with business rules and reporting solutions;
  • Develop a reusable, maintainable and scalable solution to data issues.

With our team, we build BI solutions and design and build complete data platforms. We do this for various clients so that they get optimal insight into their data. For this we use techniques such as Fabric, Synapse, Databricks, Data Factory and Power BI. The projects you work on are always based on (the latest) Microsoft technologies. We attach great value to technological development and always keep up with the latest techniques and methods.

Requirements

  • You have a minimum of 5 years working experience as a data engineer;
  • You have a completed college or university education;
  • You are fluent in SQL;
  • You have experience with the Microsoft Azure Data stack;
  • Experience with one or more of the following is a plus: Data Factory, Fabric, Synapse, SSIS/SSAS/SSRS, Power BI, Databricks, Snowflake, DBT, Python;
  • You have experience with (relational) databases, data modeling, data visualization, data warehouses, metadata and ETL;
  • You are familiar with (the basics of) data management and data governance;
  • You are helpful, collegial, customer-oriented, actively engaged in your own development and have strong opinions about your field.

Benefits & conditions

  • A gross monthly salary between €4,000 and €6,000, depending on your knowledge and experience;
  • Lease car, laptop and other items that will allow you to perform your job optimally anywhere;
  • Choice to work 32, 36 or 40 hours per week;
  • Hybrid workplace: home, client and/or our own office;
  • An interesting bonus scheme, where you have ownership of the bonus percentage;
  • We focus on your personal development through monthly meetings with your manager, the use of competence and talent management methods and concrete tools;
  • A training budget to attend training and courses;
  • Varied work, for multiple clients with different technical solutions;
  • Teamwork and shared passion. Together, we make a difference through the integration of technology, people and business.

About the company

That's the Data Strategists business unit, an enthusiastic team specializing in data management and governance, data platforms and architectures, data analytics, visualization and AI. What THRIVED us? The passion to extract value from data. Does this appeal to you too? If so, we'd love for you to join our team. You will often work with other colleagues on projects. This way we learn from each other and have fun at work. We find contact and involvement important, so we get together regularly as a team for a meeting, drinks or games night.

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