Data Quality Expert (f/m/d)

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108429 | Data & AI | Professional | n.a. | Allianz Global Investors | Full-Time | Permanent

As a Data Quality Expert (f/m/d), you will support the development (Change) and operation (Run) of data quality tooling and the management of data quality metadata. This hybrid engineering and business analysis role combines Databricks development, DQ platform support, stakeholder engagement and the responsibility of the AllianzGI data dashboards.

This position will be based in Munich or Frankfurt.

What you will do

DQI — a data product for storing, standardising and visualising all data-quality-related metadata

Build:

• Gap assessment across data quality platforms providing source metadata
• Support data modelling activities within the scope of the data product
• Develop pipelines for new and existing metadata load interfaces

Operate:

• Business analysis for new metadata source onboarding
• Technical evaluation of new datasets onboarding
• Resolve pipeline failures and provide technical support
• Bug analysis for DQI data issues

Data Quality Tooling — enterprise-wide data quality tool

Build:

• Support the migration of the in-house data quality platform to the native Databricks DQX framework
• Implement new attributes / features for DQ needs
• Build enhancements from new business requirements

Operate:

• Support the check lifecycle: create, modify and deactivate checks
• Monitor DQ KPIs; drive quality improvement
• Support onboarding of new applications & data products

Data Dashboard

Build:

• Build enhancements from new business requirements and dashboard items

Operate:

• Run and maintain the data quality dashboards for AGI in close alignment with stakeholders

Primary areas of ownership, drawing on Databricks engineering skills to support the build and operation of the DQ platform:

• Demand Management: Capture, assess and prioritize new Data Quality requirements from Data Products and future consumers.
• DQ Rule Design: Support the design of data quality controls, including check definitions (title, priority and remediation protocol), schedules and code (the technical script).
• Consumer Onboarding & Support: Onboard new data products and business functions to the data quality platform; provide training, technical support and access management; and connect new sources.
• Governance & Roadmap Management: Support the DQI roadmap, prioritize demand, manage stakeholder expectations, and ensure alignment with enterprise data strategy and regulatory requirements.
• DQ Operations Monitoring: Monitor execution of data quality schedules, jobs and checks on the Databricks platform; investigate failures, missing executions, abnormal trends and technical incidents.
• Platform Administration: Manage users, permissions, environments, schedules, configurations, and operational parameters of the DQI platform.
• Platform Change & Release Management: Deliver platform upgrades, enhancements and bug fixes; coordinate testing, deployment and production releases while minimizing business disruption.
• Integration Management: Maintain integration with additional DQ platforms.
• Dashboard & Reporting: Develop and maintain DQ dashboards, KPI reporting and management scorecards.

What you bring

• Hands-on Databricks development experience (pipelines, notebooks, jobs) — the DQ platform runs on Databricks
• Familiarity with the DQX framework or equivalent data quality rule/check frameworks
• Strong business analysis skills — able to translate DQ requirements into rule definitions and technical specifications
• Stakeholder management — comfortable working across Data Products, business functions and platform/engineering teams
• Good understanding or willingness to learn on Microsoft Power BI
• Root-cause analysis — investigating DQ findings, pipeline failures and technical incidents
• Experience with data modelling and metadata management best practices
• Understanding of DQ operations: check lifecycle management, KPI monitoring and continuous improvement
• Experience with Agile methodologies
• Knowledge of AI/Data Strategy, Data Cleaning, Data Governance desired

What we offer

• We empower our employees by ensuring flexible work arrangements that maintain a balance between performance, productivity, career development and personal priorities (e.g., hybrid model/ flexible working hours)
• Securing your future: Access to company pension/savings plans
• Family support (relocation/ childcare facilities)
• Company share purchasing plan
• Mental health and wellbeing programs
• Mobility solutions (Jobrad bike leasing, subvention Jobticket)
• Career opportunities within the entire Allianz Group
• Self-guided learning & development
• Volunteering time
• … and so much more!

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Quelle: Statistisches Bundesamt (Destatis), Tabelle; dl-de/by-2-0; eigene Berechnung