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πŸ‡ΈπŸ‡° Data Quality Engineer (German-speaking)

Xperteez Technology
πŸ‡ΈπŸ‡° Slovakia
On-site
1 month ago
  • Great Expectations
  • Informatica
  • CI/CD
  • AI/ML
  • Databricks
  • Snowflake
  • BigQuery
  • AI
  • ChatGPT
  • Power BI
  • SQL
  • Python
  • Devops
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Data Quality Engineer (German-speaking)


What you’ll work on (project examples)

  • Implementing data quality checks in data pipelines (validation, reconciliation, anomaly detection, rule-based controls)

  • Building reusable data quality frameworks and tooling (e.g., Great Expectations, Soda, Ataccama, Informatica, or similar)

  • Integrating quality signals into CI/CD and delivery processes (test evidence, release readiness, monitoring)

  • Creating measurable quality KPIs/metrics and quality reporting dashboards

  • Exploring AI/ML-assisted approaches to data quality (profiling, anomaly detection, intelligent rule suggestions)

Key Responsibilities

  • Design and implementdata quality frameworks, rules, and tooling tailored to platform and business needs.

  • Build and maintaindata quality pipelines and integrations within modern data platforms (Databricks/Snowflake/BigQuery or similar).

  • Define quality KPIs/metrics and ensure results are visible through reporting and stakeholder-ready outputs.

  • Collaborate with engineering and client stakeholders to translate data quality needs into practical technical solutions.

  • You demonstrate aproactive approach to using AI-powered tools (ChatGPT, GitHub Copilot, Power BI, etc.) and digital technologies to improve efficiency, support informed decision-making, solve complex problems, and embrace continuous learning in a rapidly evolving workplace.

AI/ML advantage

  • Apply (or show strong interest in applying)AI/ML methods to improve data quality processes (e.g., anomaly detection, automated profiling, intelligent rule suggestions).

Requirements of the role

  • Hands-on experience working withinmodern data platforms (Databricks, Snowflake, BigQuery, or similar).

  • Proven technical ability to build/maintain pipelines and integrations (SQL + Python and/or Spark depending on platform).

  • Experience designing and implementingdata quality rules, frameworks, and tooling (Great Expectations, Soda, Ataccama, Informatica, or comparable).

  • Strong communication skills and confidence in aclient-facing environment (German-speaking stakeholders).

Nice to have

  • Experience with data observability practices (monitoring, alerting, incident reduction, SLA/SLO thinking)

  • Experience with CI/CD, DevOps practices, and production operations for data workloads

  • Familiarity with reporting/dashboarding for quality KPIs

  • Prior consulting/project delivery experience

What we offer:

  • Work on impactfulGerman-speaking client projects in modern data engineering

  • Build highly transferable skills across data platforms, quality, and governance

  • Be part of a new and growing team, with avenues for career advancement and development.

  • Flexible working arrangements, including travel to Prague or Germany for collaboration and training.

  • Join a robust team that values independence and teamwork in a collaborative setting.

  • Engage with the latest technological solutions that drive financial consulting forward.

Benefits you can enjoy while working

  • Financial Rewards: Benefit from regular salary reviews, performance bonuses and other special bonuses. Enjoy meal contributions and a cafeteria benefit system offering personalized choices.

  • Flexibility & Work-Life Balance: Enjoy our hybrid working policy, flexible working hours, 2 extra days off during Christmas along with Sick-days. Every minute of your extra work is valued and compensated.

  • Career Development: Engage in tailored internal and external training programs as well as structured career development plan.

  • Health & Well-being: Access premium benefits such as Multisport card, physiotherapy consultations, or a medical center membership. Take advantage of our Well-being and Work-Life Coaching program.

  • Supportive Culture: Participate in teambuilding activities and social events and join our employee referral program. Experience a culture with regular feedback and a supportive environment.

  • Global Opportunities: Seize the opportunity for international assignments and work on diverse projects with international clients. Explore the world while working with the possibility of working from abroad.

  • Extra perks: Use various discounts at partner companies such as cars, health care, beauty, culture or others. Transfer up to 4 telephone numbers at discounted rates.

XTPW0826

πŸ‡ΈπŸ‡° Data Quality Engineer (German-speaking) Β· Xperteez Technology

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