Data Quality and Lineage Lead

• Defining data quality dimensions (Accuracy, Completeness, Timeliness, Validity), set thresholds, and implementing automated scorecards and monitoring dashboards.
• Designing and documenting Tier 0 / Tier 1 lineage approaches to ensure clear traceability of critical data assets from source to consumption.
• Leading data quality issue triage, support remediation prioritization, and governing the quality improvement process across teams.
• Partnering with data engineering and BI teams to embed quality checks into ETL/ELT pipelines and ensure governance standards are met.
• Implementing and managing data quality and lineage tools (Collibra, Great Expectations, dbt, Alation, Atlan) to automate monitoring and ensure compliance.
• Creating and maintaining technical documentation for data quality rules, lineage mappings, and governance workflows.
• Ensuring data processes meet regulatory and audit requirements by establishing clear traceability and data validation protocols.

• Experience in data quality, data governance, data analysis, or a related field for 7+ years, with a proven track record of implementing enterprise-wide data quality and data lineage solutions.
• Deep experience with governance platforms (Collibra + Ataccama) and data quality frameworks (Great Expectations, dbt).
• Strong understanding of the modern data stack, including cloud platforms (AWS, Azure, GCP), data warehouses (Databricks), and data lake formats (Delta Lake).
• Hands-on experience with SQL, Python (Pandas), and big data technologies (Apache Spark) for data profiling, validation, and analysis.
• Proficiency with BI tools (Tableau, Power BI, Looker) to build quality dashboards and visualize data health metrics.
• Solid understanding of data modeling concepts and dimensional design for BI and data warehousing.
• Proven ability to define data quality dimensions, set thresholds, and design lineage approaches that ensure regulatory-grade traceability and auditability.
• Exceptional stakeholder management skills. Ability to facilitate discussions between technical and business audiences, present findings, and drive governance alignment.
• Level of English – from Upper-Intermediate and above.

• Azure Certified Data Analytics – Specialty or Azure Certified Business Intelligence.

• Experience in teamwork with leaders in FinTech, Healthcare, Retail, Telecom, and others. Andersen cooperates with such businesses as Samsung, Siemens, Johnson & Johnson, BNP Paribas, Ryanair, Mercedes, TUI, Verivox, Allianz, T-Systems, etc..
• The opportunity to change the project and/or develop expertise in an interesting business domain.
• Guarantee of professional, financial, and career growth! The company has introduced systems of mentoring and adaptation for each new employee.
• The opportunity to earn up to an additional 1,000 USD per month, depending on the level of expertise, which will be included in the annual bonus, by participating in the company's activities.
• Access to the corporate training portal, where the entire knowledge base of the company is collected and which is constantly updated.
• Bright corporate life (parties / pizza days / PlayStation / fruits / coffee / snacks / movies).
• Certification compensation (AWS, PMP, etc).
• Referral program.
• English courses.
• Private health insurance and compensation for sports activities.

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