Data Engineer

il y a 3 semaines


Bruxelles, Région de Bruxelles, Belgique Materialise NV Temps plein

Are you passionate about healthcare and technology? Join our IT department as a Data Engineer.

Responsibilities:
  • ETL/ELT development: design, develop, and maintain ETL/ELT routines on AWS cloud data lakes and MSSQL on-prem DWH (SSIS)
  • Reporting: design, develop, and maintain reports using Power BI and SSRS (AWS QuickSight experience is a plus)
  • Data cube management: maintain existing data cubes using multidimensional and tabular models from various data sources (SSAS) and migrate data cubes to AWS data lakes
  • Data modeling: design and develop scalable and extendable data models, including logical/physical layers and ETL processes (on-premise/on-cloud)
  • Technical analysis: conduct technical analysis of existing solutions and prepare supporting technical documentation
  • Data analysis: analyze and organize raw data, evaluate business needs, and prepare data for analysis
  • Self-service support: assist business users with Power BI self-service, including teaching, data sourcing, DAX formula building, and optimization
  • Collaboration: work closely with data engineers, architects, data scientists, and business stakeholders to deliver efficient data engineering solutions
  • Maintenance: maintain existing solutions, resolve incidents, and optimize data infrastructure
  • Automation: develop and automate data workflows, including data ingestion, aggregation, and ETL processing
  • Data preparation: prepare raw data in data lakes/data warehouses into consumable datasets for stakeholders
  • DevOps integration: collaborate with the DevOps team to automate deployment processes using PowerShell and DevOps Azure
  • Data quality: improve data quality and efficiency across the data infrastructure
Your ProfileEducation:
  • Degree in computer science, IT, or a similar field; a master's degree is a plus
  • 3 – 5 years of experience with AWS cloud and AWS services (S3 Buckets, Lambda, Glue, Athena, SQS queues, CloudWatch, EC2)
  • Proficiency in programming languages: SQL, Python, Spark, C#
  • Familiarity with software DevOps CI/CD tools: Git, Shell Script, Terraform, YAML
  • 5+ years of experience with MSSQL (T-SQL, SSIS, SSAS, SSRS)
  • Experience with Power BI and DAX
  • Proficiency with MS Visual Studio and SQL Management Studio
  • Technical expertise in data models and data analysis techniques (AI and ML techniques are a plus)
  • Comprehensive understanding of privacy and security development best practices
  • Analytical and numerical thinking
  • Strong teamwork and communication skills
  • Experience working directly with technical and business teams
  • Ability to learn quickly, be organized, and be detail-oriented
  • Excellent problem-solving skills and ability to troubleshoot complex data pipeline issues
  • Strong collaboration skills with the ability to work effectively in a cross-functional team environment
  • Experience with Agile development methodologies is a plus
Preferred Skills
  • Knowledge of other relational databases such as Sybase, MySQL, DynamoDB, and MongoDB
  • Knowledge of other reporting tools: Tableau, AWS QuickSight
  • Technical expertise in data models and data analysis techniques (AI and ML techniques)
Location and Type of Contract
  • Full-time
  • Hybrid
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