Data Engineer

• Data Integration & Quality : Collaborate with the Data Engineering Team to ingest data from various systems ensuring timely integration of new data sources with high reliability and correctness.
• (Design) simplification : Simplify the existing data flows and design processes to enhance efficiency, reduce complexity, and improve overall system performance.
• Cleanup : Identify obsolete datasets, unused files and abandoned workflows; refactor or retire them and help harmonize historization and retention rules so the overall data landscape remains clean and maintainable.
• Macro & Component Design : Design and maintain reusable Alteryx macros to centralize repeated transformation patterns, ensure consistent logic across workflows and reduce technical debt, while documenting and validating changes with impacted users.
• Legacy process harmonization : Rationalize SAS and Alteryx coexistence by removing outdated SAS components and migration useful transformations into consistent maintainable Alteryx logic. Help eliminate duplication and reduce the cross-platform complexity.
• Release operations : Support and improve the deployment and release process by increasing automation coverage and quality checks making deployments safter, faster and more predictable.
• Documentation : Apply and reinforce documentation standards for datasets and workflows, ensuring consistent naming and clear descriptions for a shared understanding, easy discovery and effective usage by every squad member.
• Monitoring : Establish and maintain robust monitoring systems to track data quality, performance, enabling timely identification and resolution of issues.
• Manage multi-instance : Oversee the management of daily batches to ensure consistency, synchronization, and efficient resource utilization across different environments.

Do you have experience in Tableau?, Do you have a Master's degree?, * Master in computer sciences / Business or equivalent experience

• Strong hands-on knowledge of data flows and data preparation techniques
• Knowledge of relational databases including SQL Server and analytics
• Alteryx and SQL language with especially Transact-SQL
• Notions in data visualization solutions and techniques

Experience

At least 4-5 years of relevant experience

Technical Experience

Mandatory

• Strong background in Alteryx or similar ETL tools
• SQL language
• Versioning (SVN, Git)

Preferable

• Hands on experience with SAS
• Notions of data visualization tools like Tableau
• Python or similar programming language
• CI/CD practices

Business Experience

Preferable

• Experience with banking companies or other financial institution
• Practical experience with Agile method

Soft Skills

Strong analytical skills with ability to extrapolate from a detailed technical view to a global vision Knowledge sharing abilities Proactive in communication and active listening

"Agile mindset" which implies:

• A positive attitude and pragmatism
• Agile is about learning and adapting