Data Enginer - IT (m/f/d)

CGM; Koblenz; Hybrid; EUR 90.000 - 130.000; Vollzeit

Zusammenfassung

CGM is seeking a data engineering professional to build and operate the COO data foundation across supporting functions. You will model, integrate, and deliver data from raw sources to decision-ready insights, creating a single source of truth for robust KPI reporting.

You will link data signals across the customer journey, develop KPI logic for core metrics, and design dashboards focused on actionable steering across 19 countries. A hybrid work model is supported.

Qualifikationen

• End-to-end build-out of the COO data warehouse across data modeling, pipelines, and source-system integration.
• Linked data signals along the customer journey including CRM, ERP, ITSM, and telemetry.

Aufgaben

• End-to-end build-out of the COO data warehouse - data modeling, pipeline development, and system integration.
• Linked data signals across the customer journey: customer portal, self-service, ticketing, ITSM, CRM, ERP, telemetry.
• Develop unified KPI logic for core operational metrics such as NPS, time to resolution, MTTR, and on-time delivery.
• Design and implement dashboards and reports for support, service delivery, and group IT.
• Create clean data structures to support AI, automation, and robust management reporting.
• Leverage LLMs and AI-driven analytics to surface insights and enable natural-language access to datasets.

Kenntnisse

Data engineering

Analytics engineering

Data architectures

AI-driven analytics

KPI development

Tools

Databricks

Snowflake

Azure Synapse

dbt

Power BI

Tableau/Looker

Jobbeschreibung

As a leading provider of software solutions for healthcare, we operate in 19 countries and employ nearly 9,000 dedicated professionals. You will work in a dynamic and innovative environment, filled with exciting opportunities. With your commitment and passion, you’ll have the chance to make a lasting impact.

CGM Leverages AI: We are looking for people who are inspired by the power of AI in eHealth, eager to shape transformation, and curious at heart-ready to see how technology can make healthcare smarter, easier, and better.

Together, we are shaping the future of healthcare. Become part of our mission and make a difference-for a world where knowledge saves lives!

In this role, you build and operate the analytical data foundation for our COO functions-Support, Service Delivery, and Group IT - across the entire customer journey. You don’t just coordinate but also personally model, integrate, and deliver data from raw sources all the way to decision-relevant insights. Your work provides the basis for robust KPIs, effective steering, and data-driven transformation across 19 countries. In short: one single source of truth. Built, not described.

End-to-end build-out of the COO data warehouse - from data modeling and pipeline development to the integration of relevant source systems and the delivery of usable data products

Linking all key data signals along the customer journey, including customer portal and self-service interactions, ticketing and ITSM data, telephony and IVR, CRM, ERP, delivery processes, product telemetry, as well as incident and release data

Development of a unified and reproducible KPI logic for core operational metrics such as NPS, first contact resolution, time to resolution, early resolution rate, repeat contact rate, escalation rate, MTTR, billable utilisation, and on-time delivery

Design and implementation of dashboards and reports for support, service delivery, and group IT - user-centric, action-oriented, and consistently focused on steering and decision-making

Creation of clean, consistent data structures as the foundation for AI and automation solutions, as well as for robust management reporting

Active use of LLMs and AI-driven analytics to detect patterns in support, incident, and telemetry data, surface anomalies, and enable natural-language access to operational datasets

Responsibility for support and ITSM ticketing, IVR, and the cases delivery pipeline, including incident and release management as well as go‑live, rework, and telemetry steering to ensure stable CRM/ERP processes (customer, contract, entitlement) and high SLA compliance

Several years of hands‑on experience in data engineering, analytics engineering, or data intelligence, with a clear focus on scalable data models, ETL/ELT processes, and production-grade data architectures

An excellent academic background, preferably from a leading university, ideally in computer science, data science, information systems, statistics, or a comparable field of study

Practical experience with modern data platforms such as Databricks, Snowflake, Azure Synapse, dbt, or comparable technologies in a production environment

Strong BI and data visualization skills, plus the ability to independently develop dashboards and analyses in tools such as Power BI, Tableau, Looker, or similar platforms

Solid understanding of core COO KPIs and the ability to derive clean, consistent, and cross‑country comparable operational metrics from heterogeneous data sources

Experience integrating CRM, ERP, ITSM, and ticketing systems, as well as confidence in using AI-driven analytics for pattern detection, anomaly detection, and data‑driven decision support

Mobile Work: Work flexibly from home two days a week and on‑site three days a week

Attractive locations: Our offices offer fully equipped workspaces as well as regular events such as summer parties and Christmas celebrations ...