Introduction

The Challenge

Build & Improve Data Solutions

• Design and manage Azure SQL Databases for ETL using various schemas, tables, views, and functions.
• Build and orchestrate Azure Data Factory (ADF) pipelines for data movement and scheduling.
• Create and optimize SQL queries, transformations, and stored procedures.
• Ensure data is accurate, consistent, and ready for use across systems.
• REST API Consumption where working with JSON responses is common practice.

Keep Things Running (Daily Operations)

• Monitor daily data loads and pipelines to make sure everything runs smoothly.
• Handle Topdesk tickets (incidents, service requests, and small improvements)
• Investigate issues, perform root cause analysis, and implement fixes.
• Help ensure stable and reliable data delivery for the business.

Support the Business

• Work on ad hoc data requests from analysts and business teams.
• Provide quick access to data, extracts, and insights when needed.
• Collaborate with stakeholders to understand and deliver on their data needs.

Work with SAP & Integrations

• Support integration with SAP S/4HANA and validate incoming data.
• Help map data into usable models for reporting and applications.
• Contribute to the transition from legacy systems to modern solutions.

Modernize & Improve

• Review and improve existing (legacy) pipelines and SQL code.
• Simplify and streamline processes to reduce complexity and technical debt.
• Continuously look for ways to make the platform more efficient and scalable.

Deploy & Document

• Support deployments using CI/CD pipelines and Azure DevOps.
• Experience with Git is a must. Use git for versioning SQL scripts and projects.
• Document all technical decisions, dependencies, and open issues for team continuity.
• Provide knowledge transfer sessions to team members and stakeholders

What are we looking for?

• 4+ years of experience as a Data Engineer or similar role in a cloud environment.
• Strong proficiency in SQL Server / Azure SQL Database (T-SQL, stored procedures, indexing, performance tuning)
• Experience with Azure Data Factory (ADF) for pipeline orchestration and scheduling.
• Experience building CI/CD pipelines for database and application deployments.
• Working knowledge of SAP S/4HANA data models or enterprise ERP integration.
• Proficiency with .NET (C#) for API development or willingness to learn.
• Strong understanding of ETL/ELT patterns, data modeling, and data warehouse concepts.
• Experience with Git version control and Azure DevOps or equivalent platforms.
• Excellent problem-solving skills with attention to data integrity and quality.

• Strong communication skills and a collaborative approach.

Nice to Have

• Experience with legacy system improvements or migrations and data modeling techniques.
• Understanding of EDIFACT messages like PRICAT (Price Catalogue).
• Knowledge of data governance frameworks and compliance standards
• Experience with Power BI or similar BI tools for data quality monitoring

What do we have to offer?

Shimano and its subsidiaries offer a pleasant, informal working environment with colleagues who work well together, and are proud to work for Shimano. Next to good working conditions, Shimano offers you the opportunity to work in a responsible and challenging position within a dynamic, international and ambitious environment. Together we want to win therefore we have a strong focus on team achievement.

How to get in touch!

If you have any questions regarding this vacancy please get in touch with: