Data Engineer

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Data Engineer

Materialise

Leuven, Belgium

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

What you will do

ETL/ELT development: design, develop, and maintain ETL/ELT routines on AWS cloud data lakes and MS SQL 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 profile

Education:

Degree in computer science, IT, or a similar field; a master’s degree is a plus
Data engineering certification is a plus

Hard skills:

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 MS SQL (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)
Solid understanding of database schema design
Comprehensive understanding of privacy and security development best practices

Soft skills:

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)

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