. TSQL UML Power BI

About Permira Permira is a global investment firm that backs successful businesses with growth ambitions. Founded in 1985, the firm advises funds across two core asset classes, private equity and credit, with total committed capital of approximately...
About Permira

Permira is a global investment firm that backs successful businesses with growth ambitions. Founded in 1985, the firm advises funds across two core asset classes, private equity and credit, with total committed capital of approximately €89bn. The Permira private equity funds make both buyout and growth equity investments in four key sectors: Technology, Consumer, Healthcare and Services. The Permira credit funds support businesses with flexible financing solutions across Direct Lending, Strategic Opportunities and CLO Management. Established in 2007, the firm advises investment funds and products which have provided approximately €25 billion of debt capital to over 300 businesses.

Reporting to a Director in Fund Finance, the individual will lead the data strategy workstream for Fund Finance, owning the ingestion of data feeds from external fund administrators into Snowflake and driving tech automation to maximise operational efficiency across the team.

We are looking for a technically strong and collaborative individual who can take ownership of Fund Finance’s data infrastructure. The successful candidate should be professional, demonstrate good communication and inter-personal skills, with a willingness to learn and further develop their career within the finance and technology functions of a leading global Private Equity Firm.

Key Responsibilities

Data Strategy & Snowflake Integration:

  • Own the end-to-end ingestion of data feeds from external fund administrators into Snowflake, ensuring feeds are complete, accurately mapped to Permira’s data model and consistently reconciled
  • Maintain automated data pipelines connecting fund administrator sources to Snowflake, partnering with the IT Data team on architecture, scheduling and monitoring
  • Perform robust data validation and reconciliation across all ingested feeds, identifying and remediating quality issues to uphold the integrity of Fund Finance information
  • Develop and document data governance standards, ownership frameworks and lineage documentation for all Fund Finance data assets held in Snowflake
  • Support the broader Permira Data Strategy by championing Snowflake adoption within Fund Finance and collaborating with other business lines on shared data standards
  • Define and enforce data quality standards across Fund Finance, establishing automated alerting and monitoring within Snowflake pipelines

Reporting & Automation

  • Translate Fund Finance reporting requirements into scalable automated dashboards and Snowflake-backed data models, reducing manual effort and improving analytical access
  • Identify and implement AI and process automation opportunities across Fund Finance day-to-day operations to eliminate repetitive manual tasks
  • Collaborate within the Fund Finance Data team to maintain and enhance Fund Finance models in Anaplan, supporting integration with Snowflake and ensuring reporting outputs align with validated source data
  • Act as primary liaison between Fund Finance and the IT Data team, translating business requirements into technical data solutions and managing delivery against agreed timescales
  • Engage directly with external fund administrators to understand data feed formats, delivery mechanisms and data dictionaries, driving feed improvements where needed

Governance & Innovation

  • Apply knowledge of regulatory and legal requirements and Permira corporate policies to ensure all data processes meet risk, control and compliance standards
  • Foster a culture of innovation and tech automation within Fund Finance, proactively identifying and delivering efficiency improvements across team operations

Non-Technical

Essential Skills and Characteristics

  • Fluent and able to work in English
  • Pro-active and able to work independently or as part of a small team
  • Strong attention to detail and ability to explain complex data and technical concepts to non-technical stakeholders
  • Excellent organisational skills with the ability to manage multiple data workstreams simultaneously, prioritising effectively under pressure
  • Collaborative team player with the ability to work closely with both technical and non-technical colleagues across Fund Finance, IT and other Permira functions globally
  • An interest in the dynamics of private equity and asset management, complemented by a broad understanding of capital markets and investment concepts
  • Experience of working with internal and external third-party vendors to ensure business requirements are delivered within agreed timescales
  • Ability to navigate competing priorities and negotiate pragmatic solutions that balance technical constraints with business requirements
  • Highly personable, with the ability to influence and create relationships at all levels

Technical (Essential)

  • Hands-on experience with process redesign, including mapping current-state workflows in tools like Visio and identifying where automation or AI can add meaningful value
  • Proven track record building and maintaining automated data pipelines or ETL/ELT processes, ideally connecting external data providers to a central data warehouse
  • Strong SQL proficiency for data validation, reconciliation, transformation and ad hoc analysis across large financial datasets
  • Practical understanding of data governance principles including data ownership, lineage, quality controls and documentation standards
  • Proficient in UML or equivalent BPMN process documentation techniques
  • Ability to translate between IT and Finance — comfortable discussing technical data architecture with engineers and reporting outputs with senior stakeholders
  • Experience of using AI tools or Power BI functionality
  • Familiarity with Anaplan or similar planning and modelling tools used in a finance context (desirable but not essential)
  • Familiarity with cloud-based data warehousing such as Snowflake (desirable but not essential)

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