Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
DevOps @ 4
Automated Testing @ 4
Python @ 4
ETL @ 4
CI/CD @ 4
Azure @ 4
Communication @ 4
Data Engineering @ 4
ELT @ 4
BI @ 4
Databricks @ 4
Reporting @ 4
Power BI @ 4
Agile @ 4
DAX @ 4
Data Modeling @ 4
Data Pipelines @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Make your mark in the evolving landscape of data reporting and analytics. As an IT Engineer IV (Data), you will play a key role in delivering high‑quality, regulatory‑grade data products for Finance and Risk. Working in an agile, international environment, you will leverage Azure Databricks and Power BI to transform complex, granular data into clear, actionable insights. We value diversity, craftsmanship, and continuous learning, and we offer an environment where experienced professionals can truly make an impact.
Responsibilities
- Design and build robust, scalable data pipelines using Azure Databricks.
- Translate complex regulatory and business requirements into high‑quality data models and Power BI reports.
- Ensure data accuracy, consistency, and traceability throughout the reporting chain.
- Proactively contribute to technical decisions, best practices, and continuous improvements within the team.
- Collaborate closely with fellow IT Engineers, Business Developers, and stakeholders to ensure timely and compliant delivery of reports.
- Deliver dashboards and data products for use cases such as Non‑Performing Exposures (NPE), Credit Risk Management Information (MI), analytical data sets, and loan tapes including validation and reconciliation reports.
Working environment
- Work in an international, cross‑functional agile team responsible for both change and run activities.
- Part of the Reporting Grid within the Finance & Risk domain, with end‑to‑end responsibility for regulatory reporting.
- Team composition: IT Engineers, Business Developers, Product Owner; affiliated with Data Engineering and Business Intelligence chapter and reporting to the Chapter Lead.
- Culture: collaboration over hierarchy, open communication and psychological safety, diverse perspectives, continuous learning and knowledge sharing.
Requirements
General / Soft skills
- 5+ years of experience.
- Experience working in a DevOps‑oriented environment (CI/CD, automated testing, releases).
- Good written and verbal communication skills; able to explain technical topics clearly.
- Able to work independently and as part of a team; growth mindset and willingness to learn.
- Comfortable working in a complex, fast‑changing, and regulated environment.
- Experience collaborating in international and diverse teams.
Hands‑on technical skills (required)
- Python for data engineering or analytics.
- PySpark for large‑scale data processing.
- Azure Databricks.
- ETL / ELT pipelines, including data ingestion and transformation.
- Data modeling (e.g., star schemas, dimensional models).
- Power BI, including semantic models and basic DAX.
Preferred / Advanced
- Strong experience optimizing Databricks clusters, performance, and cost.
- Experience with enterprise data platforms such as data warehouses and Lakehouse architectures.
- Advanced Power BI: DAX optimization, performance‑tuned and regulatory‑grade reporting.
- Experience working with Azure analytics services or Microsoft Fabric.
Certifications (required or equivalent experience)
- AZ-900 (Microsoft Azure Fundamentals) required (or equivalent hands‑on Azure experience).
Preferred certifications
- DP-203 – Microsoft Azure Data Engineer Associate.
- Databricks certifications (Data Engineer Associate or Professional).
- PL-300 – Microsoft Power BI Data Analyst.
- DP-600 – Microsoft Fabric Analytics Engineer Associate.
We offer
- Gross monthly salary range: €5.847 - €8.353 based on a 36‑hour work week, including holiday allowance and a flexible benefit budget.
- Excellent pension scheme.
- Flexibility in working: working from home is possible in consultation with your team; an ergonomic home office setup is provided.
- Five weeks of vacation per year plus two mandatory days off; option to purchase up to four additional weeks annually.
- Five extra days off for personal development or volunteer work.
- Development budget of €1,000 per year (accumulates up to €3,000).
- Annual public transport pass with free public transportation throughout the Netherlands for business and private use.
- Employment conditions and salary scales governed by the Collective Labour Agreement (CLA).
Interested?
Please apply online. For more information you can contact Ed Stekelenburg ([email protected]).