Data Engineer - HQ Brussels
Role details
Job location
Tech stack
Job description
The Data department builds and maintains both future-ready and traditional data platforms, tools, and services to ensure easy, secure data access. It empowers data consumers with self-service capabilities while upholding governance and quality standards.
The department delivers scalable, compliant, and user-centric data solutions to meet business needs. Within this framework, the Tribe designs and implements structured, optimized data stores for APIs, reporting, and analytics. They ensure compliance, security, and governance of data assets through modern data management practices, supported by high-quality documentation and tooling. Their mission is to enable reliable, scalable, and well-governed data consumption across the organization.
At BNP Paribas Fortis, you will contribute to innovation by designing advanced data pipelines and infrastructure that power AI, real-time analytics, and strategic decision-making as part of our digital transformation.
As a Data Engineer, you will address challenges such as scalability, latency, and compliance, ensuring secure, high-quality data flows while collaborating in Agile teams. Your work will unlock data-driven insights, combining technical excellence with regulatory requirements to shape the bank's future., * Build and maintain optimized data stores by designing, developing, and ensuring well-structured, high-performance data assets (e.g., databases) tailored for APIs, reporting, analytics, and BI tools.
- Enable data-driven decision-making by delivering reliable, accurate, and accessible data for business intelligence, reporting, and analysis services while maintaining related infrastructure.
- Collaborate with internal clients and teams as a trusted partner, understanding stakeholder needs, guiding them on data solutions, and working cross-functionally while adhering to Tribe methodologies and standards.
- Ensure compliance and risk management by strictly following data protection regulations (e.g., GDPR) and banking security policies, mitigating risks in data collection, processing, and storage to safeguard client and institutional data.
- Drive continuous improvement by proactively identifying opportunities to enhance data quality, efficiency, and innovation-whether through new tools, automation, or process optimizations-while aligning with business and regulatory requirements.
- Develop data pipelines by designing, building, and optimizing ETL processes to ingest, transform, and deliver data from source systems (e.g., core banking, CRM) to data warehouses or APIs, ensuring scalability, performance, and real-time or batch processing as needed.
- Uphold data quality and governance by implementing validation rules, monitoring, and metadata management to maintain accuracy, consistency, and compliance.
- Support stakeholders and troubleshoot issues by resolving data incidents (e.g., broken pipelines, latency problems) and partnering with analysts, product owners, or business teams to translate requirements into technical solutions-such as creating self-service datasets or optimizing queries for reporting tools (e.g., Power BI, Tableau).
Requirements
Do you have experience in Tableau?, Do you have a Master's degree?, * Bachelor's or Master's degree in IT or engineering, or equivalent professional experience.
- Equivalent experience: minimum 3 years.
Hard skills:
- Working experience with databases such as Oracle, PostgreSQL.
- Profound knowledge of SQL, including writing complex queries and performance tuning.
- Knowledge of data warehouse (DWH) modeling (e.g., Kimball, Inmon, Data Vault).
- Practical experience or knowledge of ETL tools like Informatica PowerCenter.
- Knowledge of Big Data technologies such as Spark, Astronomer.
Soft skills:
- Problem-solving mindset: ability to troubleshoot complex data issues and propose scalable solutions.
- Collaboration: strong team player with experience in cross-functional Agile teams.
- Ownership and accountability: takes responsibility for data quality, delivery timelines, and system reliability.
- Communication: ability to clearly explain technical concepts to non-technical stakeholders.
- Continuous learning: stays updated on emerging data technologies.
Languages:
- You communicate fluently in English; knowledge of French and/or Dutch is an asset.