Senior Data Engineer Consultant

This is a consultancy mission at a client site, where you will represent Keystone Solutions as a Senior Data Engineer. As a Keystone Solutions consultant, you will be hired to work on client projects, delivering business-driven digital solutions, dashboards, and ad hoc reporting for corporate banking end users. All responsibilities and requirements below will be carried out under Keystone Solutions' consultancy model., * Enhance and streamline legacy Alteryx workflows by applying clean coding principles, centralizing logic, removing redundancies, and improving long-term maintainability.

• Implement improvements progressively across environments, validating impacts, collaborating with users, and ensuring no regression on downstream dashboards.
• Collaborate with the Data Engineering Team to ingest data from various systems, ensuring timely integration of new data sources with high reliability and correctness.
• Simplify existing data flows and design processes to enhance efficiency, reduce complexity, and improve overall system performance.
• Identify obsolete datasets, unused files, and abandoned workflows; refactor or retire them and help harmonize historization and retention rules for a clean and maintainable data landscape.
• 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.
• Rationalize SAS and Alteryx coexistence by removing outdated SAS components and migrating useful transformations into consistent, maintainable Alteryx logic. Help eliminate duplication and reduce cross-platform complexity.
• Support and improve the deployment and release process by increasing automation coverage and quality checks, making deployments safer, faster, and more predictable.
• Apply and reinforce documentation standards for datasets and workflows, ensuring consistent naming and clear descriptions for shared understanding, easy discovery, and effective usage by every squad member.
• Establish and maintain robust monitoring systems to track data quality and performance, enabling timely identification and resolution of issues.
• Oversee the management of daily batches to ensure consistency, synchronization, and efficient resource utilization across different environments., * Consultancy Nature: Embrace your identity as a consultant, working on-site and representing Keystone Solutions in every engagement.
• Dynamic Projects: Experience a diversity of challenges across various client environments, broadening your expertise.
• Turbo-Charged Learning: Accelerate your professional development and gain exposure to a wide range of technologies and business domains.
• Skyrocketing Ambition: Grow your career within a framework that values ambition and supports your upward trajectory.
• K-Stone Values: As a K-Stone, you bring our core values to every mission, making a real impact for clients and your own career.

If you are ready to tackle technical and strategic challenges in a dynamic consultancy environment, apply today .

Do you have experience in Tableau?, Do you have a Master's degree?, * Fluent knowledge of English and at least one local language (Dutch or French)., * Master's degree in computer sciences, business, or equivalent experience.

• Certification in design and data architecture is a plus.

Required Experience & Knowledge:

• At least 4-5 years of relevant experience.
• Strong hands-on knowledge of data flows and data preparation techniques.
• Knowledge of relational databases including SQL Server and analytics.
• Proficiency in Alteryx and SQL language, especially Transact-SQL.
• Notions in data visualization solutions and techniques.

Technical Experience:

• Mandatory: Strong background in Alteryx or similar ETL tools, SQL language, versioning (SVN, Git).
• Preferable: Hands-on experience with SAS, knowledge of data visualization tools like Tableau, Python or similar programming language, CI/CD practices.

Business Experience:

• Preferable: Experience with banking companies or other financial institutions, practical experience with Agile methodology.

Soft Skills:

• Strong analytical skills with the ability to extrapolate from a detailed technical view to a global vision.
• Knowledge sharing abilities.
• Proactive in communication and active listening.
• Agile mindset: positive attitude, pragmatism, focus on team success, continuous improvement.