Data Engineer / Ingenieur (CMDB & Inventory) - for a Market Leader

Data Engineer / Ingenieur (CMDB & Inventory) - for a Market Leader

Posted 6 days ago by Swisslinx

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Negotiable
Undetermined
Remote
Zürich, Switzerland
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Airflow Apache Airflow Azure Kubernetes Service Bank Reconciliations Cloud Computing Cloud Infrastructure Cloud Technology Configuration Management Data Engineering Data Modeling Data Quality Extract Transform Load (ETL) Information Model Integration Platforms Kubernetes Management MongoDB MuleSoft NoSQL Perl (Programming Language) PL/SQL Python (Programming Language) Reconciliation Scripting Systems Integration Trusted Systems Workflows

Summary: The Data Engineer role involves supporting the development of an audit-ready system for managing complex IT asset data within a global telecom leader. Responsibilities include designing data pipelines, developing ETL processes, and integrating data sources while ensuring data quality. The position requires collaboration with cross-functional teams to adapt to evolving business needs. Proficiency in various technical skills, particularly in SACM and data modeling, is essential for success in this role.

Key Responsibilities:

  • Support the development of a long-term, audit-ready system for managing complex IT asset data.
  • Design and maintain data pipelines and develop ETL processes.
  • Model inventory data based on the Common Information Model (CIM).
  • Integrate data sources via platforms like MuleSoft.
  • Ensure data quality and collaborate with cross-functional teams.

Key Skills:

  • Proven experience in data engineering and data modeling.
  • Strong scripting skills: Python, Perl, others.
  • Expertise in SACM systems (e.g., Microfocus Asset Manager, Peregrine Asset Center).
  • In-depth knowledge of Common Information Model (CIM).
  • Proficiency in Apache Airflow for workflow orchestration.
  • Experience with NoSQL databases (e.g., MongoDB) and PL/SQL.
  • Hands-on experience with MuleSoft or similar integration platforms.
  • Familiarity with iKube 2.0, Kubernetes, or other container technologies.
  • Strong understanding of ETL tooling, inventory data modeling, and data reconciliation.
  • Basic Anchor Modeling knowledge.
  • Collaborative mindset, problem-solving skills, attention to detail.

Salary (Rate): undetermined

City: Zürich

Country: Switzerland

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Start: ASAP

Type of employment: Full-time (100%)

Location: Zurich (remote-first with on-site onboarding)

Duration: Until 31/12/2025, with option for extension

Client: Global telecom leader in Switzerland

Language: English C1 required, German A1 beneficial

Documents required: CV only

Integrity check: Criminal record & confidentiality declaration

Job description

In this role, you will support the development of a long-term, audit-ready system to manage complex IT asset data. You will design and maintain data pipelines, develop ETL processes, and model inventory data based on the Common Information Model (CIM). Your work will also involve integrating data sources via platforms like MuleSoft, ensuring data quality, and collaborating with cross-functional teams to meet evolving business needs.

Requirements

We're looking for a data engineer with strong expertise in Service Asset and Configuration Management (SACM) and technical system integration. You should have a strong foundation in data modeling, PL/SQL, Airflow, and containerized solutions. Familiarity with telecom or large-scale infrastructure inventory is a plus.

Required Skills

  • Proven experience in data engineering and data modeling
  • Strong scripting skills: Python, Perl, others
  • Expertise in SACM systems (e.g., Microfocus Asset Manager, Peregrine Asset Center)
  • In-depth knowledge of Common Information Model (CIM)
  • Proficiency in Apache Airflow for workflow orchestration
  • Experience with NoSQL databases (e.g., MongoDB) and PL/SQL
  • Hands-on experience with MuleSoft or similar integration platforms
  • Familiarity with iKube 2.0, Kubernetes, or other container technologies
  • Strong understanding of ETL tooling, inventory data modeling, and data reconciliation
  • Basic Anchor Modeling knowledge
  • Collaborative mindset, problem-solving skills, attention to detail

Nice to Have
  • Experience with global cloud infrastructure and service inventorization
  • Integration development expertise on Salesforce MuleSoft
  • Leadership in expert communities related to target technologies


Compensation benefits

Join and help develop a sustainable, trusted system that enables credibility and auditability for third-party organizations. This is a forward-looking, long-term assignment in a collaborative, innovative environment.

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