Data Quality Specialist

Salt; Amsterdam; On-site; EUR 60,000 - 90,000; Full time

Job summary

Salt is hiring a Data Quality and Data Observability Specialist in Amsterdam to support enterprise-wide data quality and observability capabilities. You will work with the Technical Product Manager and Engineering teams to drive tooling adoption, establish standards, and ensure consistent data practices across the organization.

The role requires hands-on experience in Data Quality and Data Observability, with familiarity in tools such as Monte Carlo, Great Expectations, Ataccama, Validio,

Qualifications

• Technical background in Data Engineering, Data Governance or Data Management.
• Hands-on experience in both Data Quality and Data Observability.
• Experience with at least one tool such as Monte Carlo, Great Expectations, Ataccama, Validio, Acceldata, Datadog or Collibra DQ.
• Strong analytical and documentation skills.
• Excellent communication skills and the ability to influence technical and business stakeholders.

Responsibilities

• Drive the adoption of Data Quality and Data Observability tools across business units.
• Contribute to the development of standards, frameworks and best practices.
• Create and maintain user guides, playbooks and technical documentation.
• Support the definition of relevant metrics, KPIs and reporting dashboards.
• Collaborate with engineering, product and business stakeholders to embed best practices.

Skills

Data quality

Data observability

Data governance

Data engineering

Tools

Monte Carlo

Great Expectations

Ataccama

Validio

Acceldata

Datadog

Collibra DQ

Job description

Salt is currently hiring a Data Quality and Data Observability Specialist for a client of ours in Amsterdam. We are looking for an experienced Data Quality & Data Observability Specialist to support the development and implementation of enterprise-wide Data Quality and Data Observability capabilities. Working closely with the Technical Product Manager and Engineering teams, you will help drive tooling adoption, establish best practices and standards, and ensure consistent approaches to data quality and observability across the organisation.

Key Responsibilities

• Drive the adoption of Data Quality and Data Observability tools across business units.
• Contribute to the development of standards, frameworks and best practices.
• Create and maintain user guides, playbooks and technical documentation.
• Support the definition of relevant metrics, KPIs and reporting dashboards.
• Collaborate with engineering, product and business stakeholders to embed best practices.

What We're Looking For

• Technical background in Data Engineering, Data Governance or Data Management.
• Proven, hands-on experience in both Data Quality and Data Observability.
• Practical experience with at least one relevant tool, such as Monte Carlo, Great Expectations, Ataccama, Validio, Acceldata, Datadog or Collibra DQ.
• Strong analytical and documentation skills.
• Excellent communication skills and the ability to influence technical and business stakeholders.

Important: We are looking for candidates with genuine, hands-on experience in Data Quality and Data Observability. Theoretical knowledge alone is not sufficient.

*Rates depend on experience and client requirements