Data Quality Senior Specialist

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.
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* 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 KPIsImplement 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
* 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
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* Required Skills:

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

Skills:

** Current Employees apply

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