Lead Data Migration Engineer with .NET

You will lead the data migration workstream for a compliance-critical public-sector registry system.

The core challenge: converting a fully normalised relational database into an event-sourced architecture, migrating large volumes of document files, and ensuring every data related decision is documented and approved by the client.

This is not a standard backend role. You need to understand legacy data deeply, make domain-informed decisions under uncertainty, and deliver under tight timelines with high client visibility.

Tech & Tool Stack

C#

.NET Core

Azure

Docker

• Proven experience with large-scale data migration projects: ETL, transformation pipelines, cutover planning.
• Hands-on experience with event sourcing (relational-to-event model transformation): decomposing relational data into domain events with deterministic ordering.
• Experience with legacy database analysis: reverse-engineering un(der)documented schemas, understanding data semantics and relationships without complete documentation.
• Experience with data quality handling: nulls, duplicates, inconsistent formats, missing fields, validation rules.
• Familiarity with document/file migration at scale: metadata extraction, filename parsing, large-volume validation and dealing with corrupted or ambiguous data or metadata.

• Strong knowledge of backend design patterns (dependency injection, repository, mediator, factory).
• English language skills (B2+ minimum): required for clear communication with stakeholders and documentation of architectural decisions.
• Hands-on experience with CQRS, Domain-Driven Design, and Event Sourcing.
• Ability to design and implement aggregates, entities, value objects, and bounded contexts.
• Skilled in building systems that enforce clear separation of concerns, scalability, and maintainability.
• Solid understanding of clean architecture principles.
• Strong experience with .NET / C# backend development.
• Practical knowledge of Modular Monolith.
• Experience with PostgreSQL and modern ORM frameworks (e.g. Entity Framework or equivalent).
• Experience with Marten DB or willingness to learn quickly.
• Exposure to CosmosDB or similar NoSQL/document databases.
• Experience designing and consuming RESTful APIs.
• Docker: confident setup, troubleshooting, and local environment management.
• Good exposure to cloud environments, ideally Azure infrastructure and services.
• Comfortable working with SQL at an advanced level: complex queries, schema analysis, data profiling, and ad-hoc investigation of production data.

• Rapid domain understanding: ability to quickly absorb unfamiliar, regulated business domains (registries, compliance, legal records).
• Governance mindset: documenting decisions, maintaining audit trails, getting formal client sign-off.
• Experience working with subject matter experts to define and validate data transformations and mappings.
• Public-sector, institutional or regulatory software experience is a significant advantage.

• Proactive problem solver: you find workarounds when blocked, explore alternatives, and escalate intelligently – you don’t stop and wait.
• Autonomous: you structure your own work, identify next steps, and act without being prompted. You take ownership of your deliverables.
• Curious about data: you enjoy investigating legacy systems.
• Comfortable with ambiguity: you make progress when not everything is defined, and revisit decisions as understanding grows.
• Pragmatic engineer who can balance domain purity with real-world business needs.
• Strong stakeholder engagement: you proactively reach out to SMEs, business analysts, and client representatives, challenge assumptions, and drive clarity.
• Clear communicator: you are able to explain architectural and domain modelling decisions to both technical and non-technical stakeholders.
• Resilient and persistent under pressure: you are comfortable working with tight deadlines, high client expectations and compliance scrutiny.