Data Quality Expert (f/m/d)

Allianz Global Investors GmbH; Frankfurt; Hybrid; EUR 70,000 - 100,000; Full time

Benefits offered by this job

Hybrid work model

Company pension/savings plans

Relocation support

Employee share purchasing plan

Mental health and wellbeing programs

Jobrad bike leasing

Job summary

Allianz Global Investors is seeking a Data Quality Expert to support the development and operation of data quality tooling and dashboards. The role combines Databricks engineering with business analysis, stakeholder engagement and governance.

The position is based in Germany (Munich or Frankfurt) with a hybrid work arrangement and opportunities to engage across Data Products and regulatory initiatives.

Qualifications

• Hands-on Databricks development experience with pipelines, notebooks and jobs.
• Familiarity with the DQX framework or equivalent data quality rule frameworks.
• Strong business analysis skills to translate DQ requirements into technical specs.

Responsibilities

• Gap assessment across data quality platforms and source metadata.
• Develop pipelines for new metadata load interfaces and data quality checks.
• Support onboarding of new data sources and data products to DQI platform.
• Monitor KPIs and drive quality improvements across data pipelines and dashboards.

Skills

Databricks

DQX framework

Business analysis

Stakeholder mgmt

Power BI

Root-cause

Data modelling

DQ operations

Agile

AI/Data strategy

Tools

Databricks

Job description

About Allianz Global Investors

Allianz Global Investors is a leading active asset manager, managing assets for individuals, families,and institutions worldwide. Our shared goal to shape a future of opportunity for our clients is foundational to our culture and our values. We look to attract, and actively nurture, individuals with the drive to achieve excellence at every stage of the investment experience.

We believe an inclusive culture is key to a flourishing workforce. Not only do we celebrate the broad range of experiences, backgrounds, and attributes that our workforce brings, but we support our people to live and work in a way that promotes their own wellbeing.

Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges is what makes us a unique employer.

We are united by a shared commitment: to put our clients first and at the centre of everything we do. Their needs inspire our thinking and guide our actions.

Together, we can build an environment where everyone feels empowered and confident to explore, grow and shape a better future - for our clients and for the world around us. At Allianz, we stand for unity: we believe that a united world is a more prosperous world, and we are dedicated to consistently advocating for equal opportunities for all. The foundation for this is our inclusive workplace, where people and performance both matter, and where integrity, fairness, inclusion and trust are at the heart of our culture.

We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations.

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

• 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

• 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!