Solidatus Data Engineer - Remote contract

Solidatus Data Engineer - Remote contract

Posted 1 day ago by Korn Ferry

Negotiable
Undetermined
Remote
London, UK

Summary: The role of Solidatus Engineer involves supporting a strategic data governance and lineage initiative within a highly regulated financial services environment. The successful candidate will design, build, and maintain end-to-end data lineage models using Solidatus, ensuring compliance and data transparency. This position requires collaboration across data engineering, architecture, and governance to manage complex enterprise data landscapes effectively.

Key Responsibilities:

  • Design and implement end-to-end data lineage models using Solidatus across source systems, transformations, and reporting layers.
  • Build and maintain technical, business, and operational metadata models.
  • Ensure lineage supports impact analysis, change management, and regulatory evidence.
  • Integrate Solidatus with upstream and downstream systems, including databases, data warehouses, ETL/ELT platforms, and BI/reporting tools.
  • Develop automated metadata ingestion using APIs and scripting where appropriate.
  • Maintain lineage accuracy and freshness as platforms evolve.
  • Support data governance frameworks aligned to financial services regulation.
  • Provide lineage artefacts to support regulatory compliance (e.g., BCBS 239, MiFID II, GDPR, internal audit).
  • Collaborate with governance, risk, and compliance stakeholders to align lineage with control requirements.

Key Skills:

  • Hands-on experience with Solidatus (or very strong experience with enterprise data lineage tools).
  • Strong understanding of data lineage, metadata management, and data architecture.
  • Advanced SQL skills.
  • Experience scripting or automating metadata ingestion (e.g., Python, APIs).
  • Experience working in large, complex enterprise data environments.
  • Strong communication skills with both technical and non-technical stakeholders.

Salary (Rate): undetermined

City: London

Country: UK

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

My client is is seeking a Solidatus Engineer to support a strategic data governance and lineage initiative.

The successful candidate will be responsible for designing, building, and maintaining end-to-end data lineage models using Solidatus, supporting regulatory compliance, data transparency, and impact analysis across complex enterprise data landscapes.

This role sits at the intersection of data engineering, data architecture and data governance within a highly regulated financial services environment.

Key Responsibilities

Solidatus & Data Lineage

  • Design and implement end-to-end data lineage models using Solidatus across source systems, transformations, and reporting layers.

  • Build and maintain technical, business, and operational metadata models.

  • Ensure lineage supports impact analysis, change management, and regulatory evidence.

Platform Integration & Automation

  • Integrate Solidatus with upstream and downstream systems, including:

    • Databases and data warehouses

    • ETL/ELT platforms

    • BI and reporting tools

  • Develop automated metadata ingestion using APIs and Scripting where appropriate.

  • Maintain lineage accuracy and freshness as platforms evolve.

Data Governance & Regulatory Support

  • Support data governance frameworks aligned to financial services regulation.

  • Provide lineage artefacts to support regulatory compliance (eg BCBS 239, MiFID II, GDPR, internal audit).

  • Collaborate with governance, risk, and compliance stakeholders to align lineage with control requirements.

Required Skills & Experience

  • Hands-on experience with Solidatus (or very strong experience with enterprise data lineage tools).

  • Strong understanding of data lineage, metadata management, and data architecture.

  • Advanced SQL skills.

  • Experience Scripting or automating metadata ingestion (eg Python, APIs).

  • Experience working in large, complex enterprise data environments.

  • Strong communication skills with both technical and non-technical stakeholders.