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4 дня назад

BI Data Engineer (Brussels)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
Portugal/Belgium
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
BI Data Engineer (Brussels) (Data Warehousing/BI): Creating enterprise data warehouses, lakehouses, BI architectures, data pipelines, reporting applications, and governance frameworks with an accent on scalable cloud, on-premises, and hybrid analytics platforms. Focus on designing dimensional models, optimizing database performance, implementing data quality and observability, and securing trusted self-service BI under GDPR and data residency requirements.

Location: Brussels, Belgium, with hybrid work requiring on-site attendance at Brussels offices and remote work; candidates should live in Portugal.

Company

hirify.global is a technology company delivering tailored solutions across Europe in Cloud, Cybersecurity, Data, and Advanced Development, including projects for European institutions.

What you will do

  • Create and maintain enterprise data warehouses, data lakes, lakehouses, BI architectures, and data virtualization layers across cloud, on-premises, and hybrid environments.
  • Gather business requirements and design data models, ETL/ELT pipelines, orchestration workflows, data contracts, and schema evolution processes.
  • Build dashboards, KPIs, reports, analytics applications, curated datasets, and self-service BI capabilities for business stakeholders.
  • Optimize database schemas, queries, storage, partitioning, caching, clustering, resource utilization, cost, latency, and throughput.
  • Implement data quality, observability, lineage, health monitoring, testing, CI/CD, deployment, infrastructure-as-code, and environment management practices.
  • Govern semantic layers, access controls, data security, documentation, stewardship, GDPR compliance, and audit readiness.

Requirements

  • Experience with enterprise data warehouse architecture, dimensional modelling, and star or snowflake schemas.
  • Knowledge of data lake and lakehouse patterns, including Delta Lake and Apache Iceberg.
  • Excellent knowledge of relational databases and SQL; knowledge of non-relational databases such as MongoDB, Cassandra, or Hadoop HBase.
  • Knowledge of BI tools such as Power BI, Tableau, or Qlik, and ETL/ELT tools such as Informatica, Talend, dbt, or Azure Data Factory.
  • Knowledge of data modelling tools, OLAP technologies, data mining tools, near real-time ingestion, and change data capture technologies.
  • Knowledge of cloud BI architectures such as Azure Synapse, Snowflake, or AWS Redshift.
  • Knowledge of data governance, cataloguing, data observability, freshness, lineage, and anomaly detection practices.
  • English at C1 level.

Nice to have

  • Microsoft Data Analyst Associate, Microsoft Azure Data Engineer Associate, Amazon Certified Data Analytics Specialty, or an equivalent certification.

Culture & Benefits

  • Hybrid work combining on-site attendance at Brussels offices with remote work.
  • Professional, dynamic, and collaborative workplace culture.
  • International career opportunities with representation in Portugal, Belgium, Luxembourg, and Denmark and projects across multiple countries.
  • Tech Visa support is available for candidates outside the European Union.
  • Health and life insurance may be provided.

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