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DigiTribe - Data Engineer (Azure Databricks & Application Development)
DigiTribe
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Brussel
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Contract
- Zelfstandige activiteit
- Voltijds
- Dagwerk
- Startdatum: zo spoedig mogelijk starten
Talenkennis
- Engels (Medium)
Vereiste studies
- Geen specifieke studievereisten
Werkervaring
- Minstens 2 jaar ervaring
Functieomschrijving
Position overview
Digitribe is looking for a Data Engineer with deep expertise in Azure and Databricks to design, develop, and maintain scalable data engineering solutions. You will build production-grade ETL/ELT pipelines, develop data processing applications, and contribute to a modern lakehouse architecture. Working cross-functionally with Architecture, Data, AI, Cloud, and CI/CD teams, you will translate business and analytical requirements into robust, reusable, and cost-efficient data solutions.Key responsibilities
- Design, develop, test, and maintain scalable data engineering solutions on Microsoft Azure and Databricks, using Python, PySpark, Scala, and SQL
- Implement reliable batch and streaming data workflows using Azure Databricks, Delta Lake, and modern data lakehouse patterns
- Develop data processing applications for ingestion, transformation, enrichment, validation, and serving of analytical datasets
- Build CI/CD pipelines for data applications using Azure DevOps YAML pipelines and apply software engineering best practices: modular design, clean code, Version Control, code reviews, and documentation
- Develop reusable libraries, utilities, and frameworks to accelerate data product delivery and support less experienced engineers through coaching and knowledge sharing
- Collaborate with Cloud, DevOps, and Platform teams on deployment, environment configuration, and operational readiness
Profiel
- Technical skills:
- 5+ years of hands-on experience in data engineering, application development, or cloud-based data platform development
- Strong hands-on development experience with Python, PySpark, Scala, SQL, and ETL/ELT development
- Solid experience with the Azure Databricks ecosystem: notebooks, jobs, Spark clusters, Delta Lake, lakehouse architecture, and performance tuning
- Good knowledge of Azure data services: Azure Data Lake Storage, Azure Data Factory, Azure Key Vault, Azure DevOps, and Azure monitoring/logging capabilities
- Experience with CI/CD pipelines (Azure DevOps YAML), Version Control, automated testing, modular development, and code reviews
- Understanding of cloud security, access management, observability, and cost-aware development practices
- Working knowledge of TerraForm or infrastructure-as-code concepts is a plus
- Preferred qualifications:
- Experience with large-scale distributed data processing using Spark and streaming/real-time ingestion patterns
- Experience building reusable data engineering frameworks, libraries, or shared components
- Knowledge of data quality frameworks, metadata management, lineage, and governance practices
- Experience integrating data pipelines with AI, Machine Learning, or analytics use cases; familiarity with MLOps is an advantage
- Preferred certifications: Microsoft Azure Data Engineer Associate, Azure Developer Associate, Azure Solutions Architect Expert, Databricks Certified Data Engineer Associate/Professional, or Databricks Certified Developer for Apache Spark
- Soft skills:
- Strong communication and documentation skills, with the ability to explain technical data engineering concepts to diverse audiences
- Strong problem-solving mindset with a focus on automation, reliability, and maintainability
- Team-oriented, proactive, and comfortable working in a cross-functional environment
- Continuous improvement mindset and willingness to adopt evolving data platform technologies
Professionele vaardigheden
- Technische oplossingen uitwerken
- Een databank ontwerpen
- Datamining uitvoeren
- Indicatoren ontwikkelen
- Rapporteren over de resultaten van een onderzoek
Aanbod
We provide a stimulating, people‑focused and expertise‑driven environment
- A competitive salary with performance‑based bonuses
- A company car with Fuel/Electric Card
- All necessary tools for your mission: Laptop, Phone, Phone Subscription
- Comprehensive social security and health benefits in Belgium
- Meal Vouchers, Eco cheques
- Hospitalization Insurance & Group Insurance (Retirement)
- Opportunities for professional training and certifications
- Clear Career plan and growth opportunities created together with Manager
- Exciting assignments with clients engaged in innovative IT projects
Plaats tewerkstelling
Brussel
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VDAB-vacaturenummer: 74295501
VDAB-beroep: Data scientist
Online sinds: 03-08-2026
Deze functie staat open voor iedereen, ongeacht leeftijd of gender.
Een partner van VDAB heeft deze vacature ingegeven. De informatie werd niet nagekeken en gecontroleerd door VDAB. VDAB is niet aansprakelijk voor de inhoud van deze vacature, en de eventuele inbreuken op de geldende wetgeving.
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