BI Data Engineer

Are you ready to shape the future technological landscape in Europe?

We are dedicated to responsible digitalisation, building innovative, inclusive solutions that drive meaningful impact. With over 8,900 professionals across Europe, we help EU institutions, public and private organisations thrive in a rapidly evolving digital world. Are you ready to shape the future through technology? Your journey starts here. Take a look at some of our impactful projects here: https://netcompany.com/cases/

Are you ready to join the forefront of technology as a BI Data Engineer in Netcompany?

• Develop and maintain a fully open-source Data Lakehouse and modern BI data platforms.
• Design BI architectures across cloud, on-premises, and hybrid environments, ensuring security, governance, and data residency compliance.
• Design and implement scalable ETL/ELT pipelines and orchestration workflows, including data contracts and schema evolution.
• Migrate legacy data flows to modern data platforms and build reliable pipelines for structured and unstructured data.
• Design and implement data models, including dimensional models, to support reporting, analytics, and business requirements.
• Build BI and analytics solutions, including dashboards, KPIs, reports, and self-service BI capabilities.
• Implement data quality, observability, and monitoring frameworks, covering lineage, freshness, SLAs, and SLOs.
• Deploy and manage BI platforms using Infrastructure as Code, version control, CI/CD, and environment management practices.
• Maintain comprehensive technical documentation, including data dictionaries, lineage, architecture specifications, and operational runbooks.
• Enable self-service BI by providing curated datasets, certified reports, and guidance and support to business users.
• Opportunity to work in a modern environment.
• Competitive compensation & benefits package
• Hospitalization plan
• Hybrid working model
• Meal allowance
• Mobility budget or commuting allowance (if applicable)
• Well-being activities (on premises)
• Continuous learning opportunities using the most modern methods (unlimited access to Udemy for Business, ad-hoc trainings)
• Personalized development plan for targeted career growth

If you are looking forward to be part of a diverse environment, and have the opportunity to work alongside well-experienced professionals, on challenging, large-scale projects that directly impact millions of citizens around the globe, then this is the place to be!

By joining Netcompany Belgium, you will be an integral part of a distinguished team of 600+ tech enthusiasts working for international projects, primarily within the European Institutions market, with a unique opportunity to shape the future of digital services in an environment that values ideas and fosters growth.

Please upload your CV in English via the Apply button. All applications will be treated as strictly confidential.

We ensure equal opportunities, treatment, and consideration to all candidates. Discrimination based on sex, racial or ethnic origin, religion or belief, disability, age, sexual orientation or marital status, physical or mental disability, or any other factor protected by applicable laws and regulations is prohibited. As part of the Netcompany culture, we respect human rights and focus on creating a positive workplace, where all employees are valued, and where diversity and inclusion are a vital part of our everyday working experience.

In the following link you may find our CV Submission privacy notice: https://netcompany.com/cv-submission-privacy-notice/

What would make you a fit for the role:

• University degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, or a related field, or equivalent professional experience.
• Excellent English communication skills; knowledge of French is a plus.
• Strong knowledge of Data Lake and Data Lakehouse design patterns, with hands-on experience with technologies such as Snowflake, Delta Lake, and Airflow.
• Strong experience with relational databases, particularly PostgreSQL, including complex SQL queries and database design.
• Hands-on experience with Python for data processing, including PySpark.
• Knowledge of BI and analytics tools such as Power BI, Tableau, or Apache Superset for enterprise reporting and self-service analytics.
• Knowledge of ETL/ELT technologies, such as dbt, for developing and managing enterprise data pipelines.
• Knowledge of cloud-based BI and data architectures, including platforms such as Snowflake and Databricks.
• Experience with data quality management, including validation rules, continuous monitoring, and issue resolution across data pipelines.
• Knowledge of data governance, cataloguing, and data observability practices, including lineage, freshness monitoring, and anomaly detection.

Additional Information