🇸🇰 Data Quality Engineer (German-speaking)

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Bratislava, SVK
In-Office
Entry level
HR Tech • Information Technology • Professional Services • Consulting
The Role
Build and maintain data quality frameworks, rules, pipelines, integrations, validation checks, anomaly detection, and reporting across modern data platforms. Define quality KPIs, integrate quality monitoring into CI/CD, collaborate with engineering and German-speaking clients, and explore AI/ML-assisted approaches to profiling and intelligent rule generation. The role may also involve data observability, DevOps, production operations, and consulting project delivery.
Summary Generated by Built In

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 implement data quality frameworks, rules, and tooling tailored to platform and business needs.

  • Build and maintain data 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 a proactive 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 within modern 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 implementing data quality rules, frameworks, and tooling (Great Expectations, Soda, Ataccama, Informatica, or comparable).

  • Strong communication skills and confidence in a client-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 impactful German-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

Skills Required

  • Hands-on experience with modern data platforms such as Databricks, Snowflake, BigQuery, or similar
  • Technical ability to build and maintain data pipelines and integrations using SQL and Python and/or Spark
  • Experience designing and implementing data quality rules, frameworks, and tooling such as Great Expectations, Soda, Ataccama, Informatica, or comparable tools
  • Strong communication skills and confidence working with client-facing, German-speaking stakeholders
  • Experience with data observability practices, including monitoring, alerting, incident reduction, and SLA/SLO thinking
  • Experience with CI/CD, DevOps practices, and production operations for data workloads
  • Familiarity with reporting and dashboarding for data quality KPIs
  • Prior consulting or project delivery experience
  • Experience or strong interest in applying AI/ML methods to data quality processes

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