Technical Lead Data Engineer
⚲ Brussels
Do uzgodnienia
Wymagania
- Coaching
- Business Intelligence (BI)
- Microsoft Platform
- Data Warehouse (DW)
- Governance
- Performance optimization
- SQL
- Data modeling
- Cloud
- Microsoft Azure
Opis stanowiska
Summary:
The Technical Lead Data Engineer plays a crucial role in guiding multiple engineering teams, ensuring that data engineering practices are effectively implemented while managing high-level technical decision-making within the Azure ecosystem.
Responsibilities:
• Serve as the technical authority for Data Engineers within a data team.
• Conduct pull request validations, peer reviews, and ensure full compliance with data engineering standards.
• Provide coaching and guidance to junior Data Engineers.
• Contribute to the continuous improvement and maturity of data engineering practices within the organization.
• Act as the single point of contact between Data Platform Architects and engineering teams.
• Translate architectural guidelines into actionable technical instructions for engineering teams.
• Recommend alternative technical solutions depending on the targeted Data Warehouse (DWH) layer (ingestion, transformation, consumption).
• Participate in the definition, evolution, and continuous improvement of the data platform and data engineering standards.
• Provide structured feedback from field experience to refine practices and tooling.
• Contribute to performance optimization, data quality, and operational reliability.
Key Requirements:
• Natural leadership and ability to guide multiple teams.
• Strong communication skills, both written and verbal, adapted to technical and non-technical audiences.
• Technical expertise in designing, developing, and optimizing data pipelines within the Azure ecosystem.
• Proficiency in Azure Synapse, Azure Data Factory (ADF), Mapping Data Flow (MDF), Databricks, PySpark, and SQL.
• Expertise in dimensional modeling (star schema, DWH concepts).
Nice to Have:
• Experience using Power BI.
• Experience with semantic data modeling.
Other Details:
Autonomous working style with high attention to detail, analytical mindset, and pedagogical attitude.
The Technical Lead Data Engineer plays a crucial role in guiding multiple engineering teams, ensuring that data engineering practices are effectively implemented while managing high-level technical decision-making within the Azure ecosystem.
Responsibilities:
• Serve as the technical authority for Data Engineers within a data team.
• Conduct pull request validations, peer reviews, and ensure full compliance with data engineering standards.
• Provide coaching and guidance to junior Data Engineers.
• Contribute to the continuous improvement and maturity of data engineering practices within the organization.
• Act as the single point of contact between Data Platform Architects and engineering teams.
• Translate architectural guidelines into actionable technical instructions for engineering teams.
• Recommend alternative technical solutions depending on the targeted Data Warehouse (DWH) layer (ingestion, transformation, consumption).
• Participate in the definition, evolution, and continuous improvement of the data platform and data engineering standards.
• Provide structured feedback from field experience to refine practices and tooling.
• Contribute to performance optimization, data quality, and operational reliability.
Key Requirements:
• Natural leadership and ability to guide multiple teams.
• Strong communication skills, both written and verbal, adapted to technical and non-technical audiences.
• Technical expertise in designing, developing, and optimizing data pipelines within the Azure ecosystem.
• Proficiency in Azure Synapse, Azure Data Factory (ADF), Mapping Data Flow (MDF), Databricks, PySpark, and SQL.
• Expertise in dimensional modeling (star schema, DWH concepts).
Nice to Have:
• Experience using Power BI.
• Experience with semantic data modeling.
Other Details:
Autonomous working style with high attention to detail, analytical mindset, and pedagogical attitude.
🔍 Dekoder Ogłoszenia
🔴
Serve as the technical authority for Data Engineers within a data team.
Będziesz główną osobą do rozwiązywania problemów technicznych i podejmowania decyzji, często bez wsparcia starszych inżynierów.
🔴
Conduct pull request validations, peer reviews, and ensure full compliance with data engineering standards.
Duża część Twojej pracy będzie polegać na przeglądaniu kodu innych, co może być czasochłonne i nie zawsze związane z rozwojem własnych umiejętności.
🔴
Provide coaching and guidance to junior Data Engineers.
Oczekuje się, że będziesz poświęcać znaczną część czasu na mentorowanie, co może odciągnąć Cię od własnych zadań technicznych.
🔴
Act as the single point of contact between Data Platform Architects and engineering teams.
Będziesz pośrednikiem, co może oznaczać dużo komunikacji i potencjalne konflikty interesów między różnymi grupami.
🔴
Translate architectural guidelines into actionable technical instructions for engineering teams.
Twoim zadaniem będzie interpretacja i implementacja wytycznych, co może oznaczać konieczność radzenia sobie z niejasnymi lub trudnymi do wdrożenia założeniami architektonicznymi.