Data Engineer (Process Intelligence)

The Opportunity

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Stijn leads our Process Truth practice — helping organizations uncover the operational reality behind their assumptions. What he needs is someone who builds the technical foundation that makes this possible. That's you.

You're the engineer who turns messy, scattered data from client systems into the clean, connected datasets that power our process mining and intelligence work. Not a support role — a core part of how we deliver impact. Without solid data engineering, there is no Process Truth.

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Your Mission

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Be the technical backbone of our data and intelligence practice. You own the full data pipeline — from extracting raw data out of complex client environments to delivering process-mining-ready datasets that drive real business decisions. You work directly with Stijn and our data science team, translating their analytical vision into scalable, reliable data infrastructure.

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What You’ll Do

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1. Data Acquisition & Connectivity

• Extract data from complex, fragmented client systems (ERP, SAP, ITSM, DevOps, legacy environments).

• Build and secure robust data connections (JDBC, APIs, streaming).

• Map and document source systems and extraction logic.  

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2. Data Transformation & Modeling

• Design and implement scalable process-mining-ready data models.

• Write and optimize complex SQL and Python transformations.

• Enrich event logs with financial, operational, and contextual data to quantify business impact.

• Apply PQL (or learn it quickly) for in-platform analytics.  

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3. Platform Ownership & Governance

• Act as technical owner of our Process Intelligence platform (e.g., Celonis).

• Ensure performance, data integrity, governance, and auditability.

• Support continuous monitoring in the Run phase.  

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4. Collaboration & Consulting

• Work directly with consultants and client stakeholders.

• Translate technical realities into business impact.

• Contribute to building the Reframe business case using your data models.  

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What You Bring

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Must-haves

• 3–5+ years in data engineering, data consulting, or BI engineering.

• Deep mastery of SQL (your native language).

• Strong ETL/ELT and data modeling expertise.

• Hands-on experience with major data platforms (e.g., Databricks, Snowflake).

• Experience extracting data from complex ERP systems (preferably SAP).

• Solid Python skills for transformation and integration.

• Experience with process mining platforms.  

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Nice-to-haves

• PQL (Process Query Language).

• Kafka or other streaming technologies.

• Knowledge of ITSM systems (e.g., ServiceNow) or legacy environments.  

• Experience building integrations between systems or platforms (APIs, event-driven connections, etc).

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Who You Are (The Wassching Fit)

• A pragmatic engineer who thinks in business outcomes, not technical elegance.

• Curious, persistent, and energized by messy, undocumented systems.

• A clear communicator who’s comfortable with stakeholders.

• Independent, proactive, and unafraid to challenge assumptions—including ours.

• Someone who builds solutions that last, not quick fixes.  

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What We Offer

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• A front-row seat in building a high-performance powerhouse.
• Complex, high-impact client problems (the fun ones).
• A international, smart and ambitious team to work, grow, innovate, and have lots of fun with.
• Competitive compensation, plenty of development opportunities, and ownership from day one.
• A modern and cozy water-front workplace in our Amsterdam HQ on Java Island and much love from our office dog James.
• Hybrid/remote flexibility depending on the project—balancing collaboration with the freedom to work where you’re most effective.

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If you’re looking for a place where your expertise actually moves the needle, we’d love to hear from you!

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