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.

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