About Staizen

At Staizen, we live and breathe transformation. We support and guide our clients through the toughest and nitty-gritty parts of building, modernizing, and running digital products and platforms. Transformation is not easy and to be the best partners, we challenge ourselves to constantly practice what we preach in the way we do, build and lead.

The name Staizen is short for “State of Kaizen”, inspired by the Kaizen philosophy of continuous improvement. We are all about getting 1% better every day because sustainable transformation is not about the big bang but manifests in the daily choices that we commit to do every single day.

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What we offer

• Get the chance to work on transformation at scale missions for complex industries such as banking, e-commerce, insurance
• Be part of exciting communities where you can collaborate, grow and learn across the board
• We are remote-first  with global operations across Belgium, France, Luxembourg, Poland, Philippines, Singapore, and Cyprus, with optional co-working spaces for the team

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Perks & Benefits

• 1% better yearly budget - your personal growth & learning fund
• Co-working spaces - for the times when you want to spice up and change environments
• Remote set-up budget - to get you up and running wherever you decide to work
• Team-up budget - Monthly lunch/dinner budget for physical or virtual team bonding
• Good medical coverage - so you don’t have to worry about your health
• Flexitime - We follow the standard business hours, but we trust you to find your most productive time ‍

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‍Responsibilities 

• Develop end-to-end reporting solutions, including data modeling, engineering, and Power BI report development.
• Utilize Microsoft Fabric and Azure Synapse with Data Vault and dimensional modeling techniques.
• Create dashboards and reports in Power BI, including paginated reports.
• Implement data quality checks and ensure data accuracy and completeness

Requirements

• Over 5 years of experience in data engineering, with at least 3 years in Microsoft Fabric or Azure Synapse and Power BI development.
• Proficiency in SQL, PySpark, and Power BI.
• Experience with Data Lake and Data Lakehouse implementations