Job Description

Join our IT Data Domain as a Data Quality Senior Specialist, where you’ll play a pivotal role in ensuring the reliability, trustworthiness, and business impact of our data products. You will shape how data quality is defined, measured, and operationalized across the organization, partnering with product, engineering, analytics, and governance teams to drive meaningful outcomes. This is a hands-on, high-influence role for someone who loves solving complex data problems and raising the bar for data excellence.

What You’ll Do:

Drive Data Quality (DQ) Strategy & Standards

• Define and evolve enterprise-aligned data quality standards across dimensions like accuracy, completeness, timeliness, and consistency

• Establish guardrails, ownership models, and Critical Data Elements (CDEs) to ensure clarity and accountability

• Embed “data quality by design” into the lifecycle of data products and pipelines

Operationalize Quality Across Data Products

• Partner with Product Owners and engineers to manage data contracts, schema changes, and incident resolution

• Lead root-cause analysis and implement preventive controls using data lineage and impact analysis

• Manage DQ backlogs and drive continuous improvement using measurable KPIs

Implement Monitoring, Observability & Controls

• Build automated DQ checks, observability dashboards, and health scorecards

• Define SLIs/SLOs and error budgets to measure and improve data reliability

• Support identity resolution and master data alignment across domains

Partner & Influence Across the Organization

• Translate DQ metrics into clear business insights for leaders and stakeholders

• Collaborate with analytics and ML teams to ensure high-quality inputs for models

• Strengthen data literacy through training, best practices, and Community of Practice leadership

Advance Compliance, Audit, and Data Trust

• Support audits, risk assessments, and compliance reporting through strong lineage and metadata practices

• Promote dataset trust signals to help consumers make confident data decisions

What You’ll Bring:

• Experience from data quality, data engineering, data governance, or data product roles (ideally with some focus on DQ/observability)

• Strong SQL and Python skills for profiling, rule authoring, and automation

• Experience with modern data platforms (Databricks/Spark, Redshift, dbt, Airflow, Kafka)

• Familiarity with DQ & observability tools (Great Expectations, Soda, Deequ, Monte Carlo, Databand, Collibra/Alation)

• Understanding of data modeling, CI/CD practices, and metadata/lineage management

• Excellent communication skills with the ability to influence across engineering, product, and business teams

• Background in IT operations data, telemetry/observability, CMDB, or regulated environments

What You’ll Get:

• Exciting work in a great team, global projects, international environment

• Opportunity to learn and grow professionally within the company globally

• Hybrid working model, flexible role pattern

• Pension and health insurance contributions

• Internal reward system plus referral program

• 5 weeks annual leave, 5 sick days, 15 days of certified sick leave paid above statutory requirements annually, 40 paid hours annually for volunteering activities, 12 weeks of parental contribution

• Cafeteria for tax free benefits according to your choice (meal vouchers, Lítačka, sport, culture, health, travel, etc.), Multisport Card

• Vodafone, Raiffeisen Bank, Foodora, and other discount programs

• Up-to-date laptop and iPhone, company car

• Parking in the garage for drivers or showers for bikers

• Competitive salary, incentive pay, and many more

Ready to take up the challenge? Apply now!
Know anybody who might be interested? Refer this job!

The date shown below is the earliest possible closing date for this posting. However, we sometimes extend the job posting period as needed, so please feel free to apply anytime you see the "Apply" button available. You may also reach out to the recruiter directly via https://www.linkedin.com/in/badumtss/

Required Skills:

Automation, Data Engineering, Data Governance, Data Profiling, Data Quality, Python (Programming Language), Structured Query Language (SQL)

Preferred Skills:

Current Employees apply HERE

Current Contingent Workers apply HERE

Search Firm Representatives Please Read Carefully
Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.

Employee Status:

Regular

Relocation:

No relocation

VISA Sponsorship:

Yes

Travel Requirements:

No Travel Required

Flexible Work Arrangements:

Hybrid

Shift:

Not Indicated

Valid Driving License:

No

Hazardous Material(s):

N/A

Job Posting End Date:

02/6/2026

*A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.