Functional Data Engineer - HQ Brussels M/V/X

WERAANBIEDING UIT EEN ANDERE REGIO; Brussel; On-site; EUR 65,000 - 95,000; Full time

Job summary

BNP Paribas Fortis in Brussels seeks a Data Engineer to design and implement data pipelines, governance, and scalable data stores for APIs, reporting, and analytics. You will work in an Agile environment with a focus on secure, compliant data flows and high-quality documentation.

You will bridge business needs with developers, translate requests into data models, and collaborate with cross-functional squads across Brussels and nearshore/offshore teams to deliver reliable data assets for

Qualifications

• Experience designing and building data pipelines for BI/reporting.
• Knowledge of data governance, data quality, and security practices.
• Strong problem solving and collaboration in Agile teams.

Responsibilities

• Build and maintain optimized data stores for APIs, reporting, and analytics.
• Enable data-driven decision-making with reliable, accessible data for BI tools.
• Collaborate with internal clients to translate needs into data solutions.
• Ensure GDPR/compliance and data security in pipelines and storage.
• Identify opportunities to improve data quality and efficiency through new tools or automation.
• Collect data from sources and design models that developers implement.
• Implement validation rules and metadata management for data governance.
• Support stakeholders by troubleshooting data incidents and optimizing queries.

Skills

Data Modeling

SQL

ETL

Big Data

Tools

Airflow

Power BI

Tableau

Python

Job description

YOUR JOB IN A NUTSHELL

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.

The Tribe Data Services comprises over 160 colleagues, organized into more than 10 squads, primarily based in Brussels, with some team members working nearshore or offshore.

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 modelsthat 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).