Staff Machine Learning Engineer - Applied ML & Research

Expleo is a global engineering, technology, and consulting service provider that partners with leading organizations to guide them through their business transformation, helping them achieve operational excellence and future-proof their businesses.

Expleo benefits from more than 50 years of experience developing complex products in automotive and aerospace, optimizing manufacturing processes, and ensuring the quality of information systems. Leveraging its deep sector knowledge and wide-ranging expertise in fields including AI engineering, digitalization, automation, cybersecurity and data science, the group’s mission is to fast-track innovation through each step of the value chain.

Responsibilities
We are looking for an experienced Data Analyst to support enterprise data initiatives by analysing source systems and translating business requirements into clear technical data specifications.

The role sits between business stakeholders, application owners and Data Engineers, with a strong focus on data discovery, profiling, modelling and source-to-target mapping.

Day-to-Day Responsibilities

• Analyse source systems, data structures, relationships and business rules.
• Perform data profiling and data quality analysis.
• Identify missing, inconsistent, duplicate or invalid data.
• Produce Source-to-Target Mapping (STM) documentation.
• Define transformation rules and business logic for data integration and migration.
• Create conceptual, logical and physical data models.
• Support data lineage, metadata and data governance activities.
• Gather business requirements and translate them into technical data specifications.
• Work closely with Data Engineers during implementation.

Qualifications

• 5+ years of experience in Data Analysis, Data Management, Business Analysis, or other data-focused roles.
• Strong expertise in SQL, data profiling, and data quality analysis.
• Proven experience creating and maintaining Source-to-Target Mapping (STM) documentation and defining data transformation rules.
• Strong knowledge of logical and physical data modelling, including dimensional modelling and Data Warehouse concepts.
• Experience analysing transactional and operational source systems, combined with strong requirements gathering and stakeholder management skills.

Desired Skills

• Hands-on experience with Microsoft Fabric, Azure Data Factory, and/or Power BI.
• Knowledge of Microsoft Purview and data governance best practices.
• Understanding of Data Vault modelling methodologies.
• Experience with data modelling tools such as Erwin or similar.
• Exposure to Data Platforms, Lakehouse architectures, or cloud migration programmes.

What Do I Need Before I Apply

• CIM/B2B collaboration

Key Responsibilities:

• Design, develop and configure NetReveal components required to support the migration and target-state solution.
• NetReveal version 8 or later — mandatory (NetReveal v9 preferred).
• Strong hands-on experience in NetReveal development, configuration, deployment and support.
• Hands-on experience with the NetReveal Transaction Monitoring SMBD Spark Engine — mandatory.
• Develop, enhance and maintain profiling and reprofiling processes within NetReveal.
• Implement processes for loading and managing externally generated customer segments in NetReveal.
• Configure and support transaction monitoring scenarios, including changes required as part of migration and testing activities.
• Develop technical controls for record counting, data reconciliation, validation and exception handling.
• Investigate and resolve failed records, batch failures and data processing issues, performing root cause analysis where required.
• Optimise SQL queries, jobs and batch processes to ensure data processing completes within defined processing windows.
• Support the implementation of customer matching and merge processes.
• Support cutover activities, migration validation and post-implementation verification.
• Work closely with Data Engineers and other technical teams to ensure incoming data is complete, accurate and compliant with NetReveal requirements.

Technical Skills:

• Experience with NetReveal v8 or v9 is highly desirable.
• Proven experience across configuration, development, deployment, testing and production support.
• Good understanding of NetReveal data structures, processing flows and transaction monitoring capabilities.

Migration Experience:

• Proven experience supporting data migration projects, ideally within financial crime, transaction monitoring or related environments.
• Experience with historical transaction data migration at scale.
• Experience migrating customer portfolios and associated transactional data.
• Strong understanding of data ingestion, transformation and validation processes.

Troubleshooting & Production Support:

• Strong root cause analysis and problem-solving capabilities.
• Experience investigating batch failures, processing errors and failed records.
• Practical experience with data reconciliation and exception handling.
• Ability to analyse complex data-processing issues and implement robust technical solutions.
• Comfortable working in a fast-paced migration environment and collaborating with Data Engineers, QA, Business Analysts and other technical stakeholders.

About Us
At Allianz, we are a leading global financial services provider, offering insurance and asset management solutions. Our culture of trust, collaboration, and innovation empowers employees to grow, thrive, and make a meaningful impact in a diverse and inclusive workplace.

Position Summary
The Specialist Data Loading is placed within the Operations Steering and Transformation division. This global cross-LOB position plays a fundamental role in performing the proper loading of beneficiary data into our portfolio management system by using the IT-ecosystems in order to fulfill all requirements of our stakeholders (e.g. reporting, coverage check and fluent and most efficient claims/case handling).

The position requires a blend of technical expertise.

Duties And Responsibilities

• Handling the beneficiary data implementations on global cross-LOB-level which includes the following tasks:

1.1. Onboarding of BP

1.2. Acknowledging customer journey to identify all relevant data touchpoints

1.3. Alignment with business partners and internal stakeholders on datasets and upload-frequency and further details

1.4. Set up of SFTP connections with business partners

• Handling the run business which includes the following tasks:

2.1. Trouble shooting (in case of issues)

2.1.1. Organizing, prioritizing, multi-tasking requests

2.1.2. Recognizing and solving issues asap

2.1.3. Analyzing & sharing outcomes

2.1.4. Escalating to management, when needed

2.2. Management (correction, upload) and maintenance of data/files received

2.3. Enhancements

• Utilize Agile methodologies to manage workflows and project delivery
• Maintain close, intensive contact with business partners and internal stakeholders for new implementations to ensure alignment with business needs and objectives
• Ensure alignment with operations, contract implementation team, claims, underwriting, and the digital team responsible for digital solutions such as conversational implementations
• Process Optimization: Oversee the design and optimization of data loading processes to enhance efficiency and accuracy

6.1. Strong knowledge of efficient data triage

6.2. Holistic picture of all impacted processes and data touchpoints for all LoBs

6.3. Knowledge of GDPR and data laws (e.g. time periods of keeping data)

• Customer Journey: Focus on enhancing customer satisfaction, experience and Usability by delivering accurately configured data and addressing configuration-related issues promptly and effectively

7.1.
VoC/PCS:
Highly relevant to support rating-target

7.2.
Customer Centricity:
Ability to put oneself in the shoes of the customer

• Ensure the integrity, accuracy and security of data throughout the systems in place for beneficiaries
• Stay updated

9.1. with the latest trends and best practices for data loading applications

9.2. with upcoming new structures/processes in business with impact on data (and the need to adapt)

• Log and monitor all web activities by using appropriate applications to ensure transparency and traceability
• Support UAT (User Acceptance Testing) to ensure quality and functionality
• Identify opportunities to streamline and enhance Data Loading Processes
• Drive continuous improvement initiatives to enhance data quality and system performance
• Collaborate with IT, data governance and other relevant departments to ensure support and alignment
• Work effectively in an environment shaped by artificial intelligence (AI), machine learning, data, analytics and cloud-based tools, using insights responsibly with our standards of data governance, security and ethical use

Requirements
Language & Communication

• Fluent in both German and English (written and spoken), enabling effective communication with international business partners and internal stakeholders

Experience

• Minimum of 3–5 years of relevant professional experience in data loading, data management, or a comparable role within an operational or IT-adjacent environment

Technical Skills

• Proficient in SQL for data querying, validation, and troubleshooting
• Solid understanding of data loading processes, data triage, and data quality assurance
• Familiarity with portfolio management systems and IT ecosystems used for beneficiary data processing

Soft Skills & Mindset

• Strong analytical and problem-solving skills with the ability to recognize, prioritize, and resolve issues independently
• Excellent stakeholder management skills, with the ability to align cross-functional teams (Operations, IT, Claims, Underwriting, Digital)
• Customer-centric mindset with a focus on enhancing the customer journey and experience
• Proactive attitude toward continuous improvement and process optimization
• Ability to organize, prioritize, and multitask effectively in a dynamic environment

How We Hire
To Recruitment Agencies

Allianz recruits through dedicated in-house teams and does not accept unsolicited resumes/CVs, candidate introductions, or outreach from agencies or search firms. We only engage agencies under a prior, written contract and, where applicable, via our Preferred Supplier List (PSL). No fees will be paid for any candidate submitted or introduced without a contract in place, even if that candidate is subsequently hired. Do not contact hiring managers directly. Any breach, including unsolicited submissions, off-PSL contact, or attempts to invoice without an agreement, will result in candidate disqualification, termination of any existing contract, and non-payment of fees.

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. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and 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. And the foundation for this is our inclusive workplace, where people and performance both matter, and nurtures a culture grounded in integrity, fairness, inclusion and trust.

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.

Join us.
Let's care for tomorrow.

102011 | Operations | Professional | Non-Executive | Allianz Partners | Full-Time | Permanent

Allianz Partners is a world leader in B2B2C insurance and assistance, offering global solutions that span international health and life, travel insurance, automotive and assistance. Customer driven, our innovative experts are redefining insurance services by delivering future-ready, high-tech high-touch products and solutions that go beyond traditional insurance. Our products are embedded seamlessly into our partners’ businesses or sold directly to customers, and are available through four commercial brands: Allianz Assistance, Allianz Automotive, Allianz Travel and Allianz Care.

Company Description
About Inetum
Inetum is a European leader in digital services. For businesses, public sector organizations, and society as a whole, the group’s 26,000 consultants and specialists work every day to create tangible digital impact: solutions that contribute to performance, innovation, and the common good.

With a presence in 19 countries, working closely with local communities, and alongside its major software developer partners, Inetum supports organizations in their digital transformation challenges with proximity, flexibility, and responsibility. Driven by its purpose, Inetum champions a vision of technology that is useful and well-managed, capable of unlocking the full potential of organizations and society: “Let’s make tech right.”

In 2025, the group generated revenue of 2.2 billion euros.

More information at: www.inetum.com

Job Description
We are looking for a Senior Business System Analyst with experience in modern data platforms, particularly Databricks, to act as a bridge between business stakeholders and Data Engineering, BI, and Data Science teams. The role is responsible for gathering and analyzing requirements, defining functional specifications, and ensuring the successful implementation of data solutions.

Responsibilities
Business Analysis

• Gather, analyze, and document business requirements.
• Facilitate workshops with business and IT stakeholders.
• Translate business requirements into functional and technical specifications.
• Assess the impact of changes on existing processes and systems.
• Define business rules, acceptance criteria, and test scenarios.

Data & Databricks

• Collaborate with Data Engineers to design and develop data pipelines in Databricks.
• Analyze data sources, mappings, and data transformations.
• Participate in defining data models and information architecture.
• Understand and document ETL/ELT processes developed in Databricks.
• Contribute to data quality rules and operational controls.
• Ensure end-to-end data traceability from source to reporting.

Testing & Validation

• Define test scenarios and acceptance criteria.
• Participate in User Acceptance Testing (UAT).
• Validate implementation results together with stakeholders.
• Investigate defects and perform root cause analysis.

Qualifications

• Minimum 5 years of experience as a Business Analyst / Business System Analyst.
• Minimum 2 years of experience in Data & Analytics projects.
• Experience working with Data Engineering teams.
• Experience in Agile environments.

Technical Skills

• Hands-on Databricks experience.
• Strong SQL knowledge.

Understanding Of

• Data Lake
• Data Warehouse
• ETL / ELT
• Delta Lake
• Data Governance
• Data Quality

Experience With

• Azure Databricks
• Azure Data Factory (nice to have)
• Power BI / Qlik / Tableau (nice to have)
• Jira and Confluence

Analytical Skills

• Business Process Modeling
• Data Mapping
• Gap Analysis
• Root Cause Analysis
• Functional Specifications
• User Stories

Personal Skills

• Strong analytical thinking.
• Ability to understand complex processes.
• Excellent communication skills with both business and technical stakeholders.
• Results-oriented mindset.
• Attention to detail.
• Ability to prioritize and work in dynamic environments.

Nice to Have

• Banking or financial services experience.
• Knowledge of Retail or Corporate Banking products.
• Experience with Python or PySpark.
• Knowledge of Data Mesh and Data Products.
• Agile, CBAP, PMI-PBA, or Databricks Fundamentals certifications.

Success Metrics (KPIs)

• Quality and completeness of documented requirements.
• Reduction of defects caused by incomplete requirements.
• Delivery within agreed timelines.
• Stakeholder satisfaction.
• Successful production implementations.
• Quality of functional and technical documentation.

Benefits
Additional Information

• Full access to foreign language learning platform
• Personalized access to tech learning platforms
• Tailored workshops and trainings to sustain your growth
• Medical insurance
• Meal tickets
• Monthly budget to allocate on flexible benefit platform
• Access to 7 Card services
• Wellbeing activities and gatherings