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Data Quality Engineer – Sales & Finance
HumanIT Digital Consulting. Design, implement and continuously improve group-wide data quality controls covering completeness, accuracy, consistency, validity, timeliness and uniqueness .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data quality management, including the design and implementation of data quality controls, automated testing, and root-cause analysis. Proficient in SQL and familiar with modern cloud data platforms like Snowflake, with a strong understanding of data governance principles and business processes in Sales and Finance.
Highest-signal resume keywords
Data Quality ManagementSQL ProficiencyData Engineering ExperienceAutomated TestingCloud Data Platforms
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLData ProfilingData ValidationRoot-Cause AnalysisAutomated TestingData ModellingData TransformationPythonVersion ControlCI/CD Practices
Soft Skills
Analytical SkillsAttention to DetailProactive Working StyleCross-Functional CollaborationCommunication Skills
Tools & Technologies
SnowflakeAI Tools for Data ProfilingData Quality DashboardsData Quality ScorecardsData Pipelines
Industry Keywords
Data Quality DimensionsData Governance PrinciplesSales ProcessesFinance ProcessesCustomer ManagementLead ManagementFinancial Reporting
Tech Stack
Tools & technologiesCloudPythonSnowflakeSQL
About the role
Key responsibilities & impact- Design, implement and continuously improve group-wide data quality controls covering completeness, accuracy, consistency, validity, timeliness and uniqueness
- Translate business rules into measurable data quality rules, automated tests, monitoring and alerting
- Build and maintain data quality dashboards, scorecards, issue logs and service-level indicators
- Analyse anomalies and recurring issues, perform root-cause analysis and coordinate lasting fixes with data owners, source-system teams and data product teams
- Embed automated quality checks into data pipelines and development processes
- Define critical data elements, validation standards, quality thresholds, ownership and escalation paths in line with the group data governance framework
- Work with Sales and Finance stakeholders to improve the reliability of customer, lead, revenue, volume, pricing, cost, profitability and reporting data
- Contribute to shared engineering standards, documentation and reusable data quality components across the decentralised group data platform
Requirements
What you’ll need- Degree in Computer Science, Business Informatics, Data Engineering, Mathematics, Finance, Industrial Engineering or a comparable field
- Several years of practical experience in data quality, data engineering, analytics engineering or a comparable data-focused role
- Strong SQL skills
- Hands-on experience with data profiling, validation, reconciliation, root-cause analysis and automated testing
- Experience with modern cloud data platforms and data pipelines, ideally Snowflake
- Experience with data modelling and transformation frameworks
- Knowledge of data quality dimensions, controls, monitoring, metadata, lineage and data governance principles
- Understanding of Sales and Finance processes and data, including customer and lead management, revenue, pricing, costs, profitability, planning and financial reporting
- Scripting or programming experience, preferably Python
- Version control and CI/CD practices
- Ability to turn complex business definitions into clear, testable rules and explain quality issues in business terms
- Practical experience using AI tools for data profiling, quality analysis, anomaly detection, root-cause analysis, documentation and data engineering delivery
- Strong analytical skills and attention to detail
- Structured, proactive and independent working style
- Confidence working across business functions, countries and technical teams and driving issues through to a lasting fix
- Very good English (B2 Upper Intermediate minimum)
- German or another European language preferred
Benefits
Comp & perks- 15th month salary
- Health insurance covering your family
- Birthday off
- Mobility program for digital nomads
- Real work-life balance