Data Quality Engineer (H/F/X)

Hager

Blieskastel

On-site

EUR 60,000 - 85,000

Full time

2 days ago
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Job summary

Hager is seeking a Data Quality Engineer to join the Data & AI department in a permanent role. Based in Obernai, you will work in a multinational environment, leveraging Microsoft Azure and collaborating with IT, Manufacturing, and Supply Chain teams to ensure data reliability and value creation.

You will design data quality processes, implement dashboards with SQL, DAX and Power BI, and drive data standardisation and transformation using Informatica or Talend.

Qualifications

  • Master’s degree or equivalent in Data Analytics, BI, Data Engineering or a related field with proven data analysis experience.
  • Proficiency in SQL, DAX and Power BI for data analysis and value creation.
  • Experience with ETL tools (Informatica, Talend) and understanding SAP PP/MM.

Responsibilities

  • Gather data quality requirements from business functions and translate them into technical specs.
  • Develop and deploy data quality dashboards across the Group.
  • Coordinate corrective actions on data, including standardisation, deduplication, labelling and continuous improvement.
  • Design data transformation workflows using ETL tools such as Informatica.
  • Identify opportunities for process improvement and share best practices to strengthen data quality.

Skills

SQL
DAX
Power BI

Education

Master's degree in Data Analytics/BI/Data Engineering

Tools

Informatica
Talend
SAP PP
SAP MM

Job description

Why join our Data & AI department?
Within a stimulating international environment, you will contribute to strengthening data quality, reliability and value creation across Hager Group. You will work in a Microsoft Azure environment, collaborating with various IT teams such as Data Governance, Business Intelligence and AI Engineering. You will also work closely with our Manufacturing, Supply Chain and Sourcing functions to support their business challenges through data.
As a Data Quality Engineer, you will report to the Data Readiness & Team Leader within the Data & AI department, based in Obernai, on a permanent contract.

What will your responsibilities be?
  • Gather data quality requirements from business functions and translate their needs into technical specifications.
  • Develop and deploy data quality dashboards across the Group.
  • Coordinate corrective actions on data, including standardisation, deduplication, labelling and continuous improvement.
  • Design data transformation workflows using ETL tools such as Informatica.
  • Identify opportunities for process improvement and share best practices to sustainably strengthen data quality.
What about you?
  • You hold a Master’s degree or equivalent in Data Analytics, Business Intelligence, Data Engineering or a related field, with proven experience in data analysis and leveraging data to create value.
  • You are proficient in business intelligence languages and tools, particularly SQL, DAX and Power BI.
  • You have solid experience with ETL tools such as Informatica or Talend, as well as a good understanding of the SAP environment, particularly PP and MM.
  • You are comfortable working in an international, multicultural and industrial environment. Fluency in English is essential, along with proficiency in French and/or German.
  • You are recognised for your analytical mindset, collaborative approach, internal customer focus and ability to support change through clear and effective communication.
What we offer?
  • Personalized onboarding experience program designed to make your first days smooth
  • Opportunities to learn and grow through Hager Group's awarded Hi University.
  • Internal career opportunities, over 25% of our recruitments are through internal mobility
What are the recruitment stages?
  • Once your CV has been selected, you will be contacted by a recruiter for an initial phone exchange.
  • You will be invited for a first interview with the hiring manager & the recruiter
  • A second Interview will be then organized with the N+2 & the HR manager
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