Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Работа с платформой данных описана подробно, но роль охватывает разработку, BI, управление данными и эксплуатацию, а требования к Брюсселю и проживанию в Португалии заметно усложняют логистику.
Широкий охват
Сложная география
Современные технологии
Проекты для ЕС
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Описание вакансии
Текст:
Hirify AI/Оригинал
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.
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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