Job Description – Senior Data Engineer / Platform Re-Engineering Lead (Azure Synapse & Databricks Migration)
Role Overview We are looking for a highly experienced Senior Data Engineer to lead the re-engineering of an existing enterprise data platform built on Azure Synapse Analytics. The role requires deep technical seniority to audit, understand, and validate a complex end-to-end data architecture spanning source ingestion through to consumption — and to drive a future migration of validated workloads to Databricks. This is not a greenfield role: it demands the ability to reverse-engineer existing implementations, assess their correctness, and own the technical migration strategy.
Key Responsibilities
Lead the technical assessment and re-engineering of an existing enterprise data platform, spanning all layers from source ingestion through to data consumption
Reverse-engineer, document, and validate existing pipeline logic, data models, transformation frameworks, and data governance controls
Identify gaps, defects, and technical debt across the platform and remediate where implementations are incorrect or sub-optimal
Ensure correctness of data processing patterns including change data capture, slowly changing dimensions, deduplication, and business reconciliation
Design and implement target-state architectures aligned to modern lakehouse principles, ensuring feature parity and business logic fidelity during transitions
Manage platform evolution initiatives, including parallel-run phases where multiple implementations operate simultaneously, validating output consistency before cutover
Define and execute migration strategies for existing workloads to modern data platforms, preserving existing governance and control framework semantics
Re-implement ingestion, transformation, and orchestration pipelines on target platforms, maintaining audit, quality, and reconciliation standards
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Strong data modelling skills: relational, dimensional, and lakehouse-oriented
DevOps & Automation
CI/CD pipelines for data engineering (Azure DevOps / GitHub Actions)
Infrastructure as Code (Terraform or ARM)
Containerization (Docker)
Experience with automated testing frameworks for data pipelines (unit testing, reconciliation-based validation)
Nice to Have
Experience with Unity Catalog for data governance and lineage
Familiarity with Azure Purview for data cataloguing and governance
Exposure to real-time and streaming pipelines (Event Hub / Kafka / Kinesis)
Experience with GenAI or ML platform integration (MLOps, feature engineering pipelines)
Familiarity with monitoring and observability tools (e.g., Dynatrace)
Exposure to BI tools (Power BI, Tableau)
Experience & Profile
10+ years of experience in Data Engineering, with significant platform migration or re-engineering experience
Proven track record auditing and taking ownership of existing, complex enterprise data platforms — not just building from scratch
Deep knowledge of enterprise data governance patterns: audit trails, reconciliation, data quality controls, SCD versioning
Strong analytical mindset: ability to read existing implementations, identify intent versus defect, and make sound re-engineering decisions
Comfortable operating across both hands-on engineering and technical architecture
Strong communication skills — able to engage business, governance, and engineering stakeholders with clarity
Experience working in regulated or enterprise-scale environments (financial services a plus)
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93014 | Data & AI | Professional | Non-Executive | Allianz Services | Full-Time | Permanent
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.
Great to have you on board. Let's care for tomorrow.
Note: Having different strengths, experiences, perspectives and approaches is an integral part of Allianz‘ company culture. One means to achieve this is a regular rotation of Allianz Executive employees across functions, Allianz entities and geographies. Therefore, the company expects from its employees a general openness and a high motivation to regularly change positions and collect experiences across Allianz Group.
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