Functional Analyst - Data

BNP Paribas Fortis; Brussel; Sur place; EUR 60 000 - 90 000; Plein temps

Résumé du poste

BNP Paribas Fortis is seeking a Data Engineer to design and optimize data pipelines and scalable data stores tailored for APIs, reporting, and analytics. You will join a dynamic Data Tribe, delivering compliant, high-performance data platforms that empower self-service insights.

In this role you translate business needs into data models for developers, ensure governance and GDPR-aligned practices, and drive continuous improvement in data quality and latency.

Qualifications

• Bachelor’s or Master’s degree in IT or engineering, or equivalent professional experience.
• Minimum 3 years of relevant experience.
• Experience with Oracle and PostgreSQL databases.
• Strong SQL skills with complex queries and performance tuning.
• Data warehouse modeling knowledge (Kimball, Inmon, Data Vault).
• Experience with Informatica PowerCenter.
• Familiarity with Spark and Astronomer.
• PowerDesigner knowledge.
• Problem-solving and analytical mindset.
• Ability to collaborate in Agile teams.
• Ownership of data quality and delivery timelines.
• Clear communication to non-technical stakeholders.
• Continuous learning mindset.

Responsabilités

• Build and maintain optimized data stores by designing, developing, and ensuring structured, high-performance data assets for APIs, reporting, analytics, and BI tools.
• Enable data-driven decision-making by delivering reliable, accessible data for BI, reporting and analysis services.
• Collaborate with internal clients and teams as a trusted partner in cross-functional Agile environments.
• Ensure compliance and risk management by following GDPR and banking security policies.
• Drive continuous improvement by enhancing data quality, efficiency, and innovation through tools and automation.
• Collect data from sources and design models bridging business needs and developers.
• Uphold data quality and governance through validation, monitoring, and metadata management.
• Support stakeholders and troubleshoot data incidents by translating requirements into technical solutions.

Connaissances

SQL

Data warehousing modeling

Spark

Astronomer

Performance tuning

ETL concepts

Cross-functional teamwork

Data governance basics

Formation

Bachelor’s or Master’s degree in IT or engineering, or equivalent

3 years minimum experience

Outils

Informatica PowerCenter

PowerDesigner

Description du poste

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.

AND IN DETAIL

• 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.
• Collect the data from the source and design it into models that will be used by developers. In this role you are the bridge between the business needs and the developers. You translate requests into models that will be interpreted by the developers.
• 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).

YOUR TALENTS AND COMPETENCES

• Education and experience:
• Bachelor’s or Master’s degree in IT or engineering, or equivalent professional experience.
• Equivalent experience: minimum 3 years.
• Working experience with databases such as Oracle, PostgreSQL.
• Knowledge of SQL, including writing complex queries and performance tuning.
• Profound Knowledge of data warehouse (DWH) modeling (e.g., Kimball, Inmon, Data Vault).
• Understanding or knowledge of ETL tools like Informatica PowerCenter.
• Understanding of Big Data technologies such as Spark, Astronomer.
• Extended knowledge of PowerDesigner tool (or equivalent)
• 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.