Data Steward

Company Description

Egis is a leading global architecture, consulting, construction engineering and operating firm. We work side by side with clients to build a more balanced, sustainable and resilient world.

Omnia Projects, part of the Egis Group, are a UK-based engineering consultancy specialising in electricity Transmission and Distribution (T&D) providing engineering, project management and technical assurance.

Project Description

The successful individual will support and work with the inhouse project delivery team to provide works across several asset classes to include substations, underground cables, overhead lines and civils. This will cover at all system voltages from low voltage (LV) up to and including 132kV.

The Data Steward is responsible for ensuring the quality, integrity, governance, and usability of data across the organisation. This role acts as the bridge between business users and technical teams, establishing standards, improving data documentation, and ensuring data is managed consistently throughout its lifecycle. The Data Steward plays a critical role in enabling trusted data for reporting, analytics, and decision-making.

Key Behaviours / Competencies

- Attention to Detail – ensures data accuracy and consistency
- Ownership Mindset – drives accountability for data assets
- Structured Thinking – able to simplify complex data environments
- Collaboration – works effectively across technical and business teams
- Continuous Improvement – proactively identifies and resolves inefficiencies

Responsibilities

Define, implement, and enforce data governance frameworks and best practices; Establish data standards, naming conventions, and modelling principles; Ensure consistent use of data definitions across reports and systems; Support the creation and maintenance of data policies and procedures; Monitor and improve data quality (accuracy, completeness, consistency, timeliness); Identify data issues and root causes, working with technical teams to resolve them; Define and track data quality metrics and KPIs; Implement controls to prevent recurring data issues; Own and maintain data dictionaries, glossaries, and lineage documentation; Document data models, transformations, and business rules; Improve visibility of data flows across systems (e.g., source → warehouse → report); Ensure documentation is accessible, up to date, and standardised; Work with business stakeholders to define data ownership and accountability; Act as the point of contact for data-related queries within assigned domains; Ensure clear ownership of dashboards, datasets, and automated solutions; Support standardised development and release processes (e.g., Power BI, Power Apps, Power Automate); Ensure proper version control, archiving, and lifecycle management of reports and solutions; Help manage workspace hygiene and governance (e.g., avoiding duplicate/legacy reports); Act as a liaison between business users, analysts, and engineering teams; Translate business requirements into clear data definitions and structures; Promote data literacy and best practices across the organisation; Ensure compliance with data protection regulations (e.g., GDPR); Support data audits and governance reviews; Identify and mitigate risks related to poor data management

Requirements

Strong understanding of data governance principles and data lifecycle management; Experience with data warehousing and reporting environments; Familiarity with tools such as Power BI, Power Platform, SQL, and data modelling concepts; Ability to create clear documentation and data dictionaries; Strong analytical and problem-solving skills; Excellent stakeholder engagement and communication skills

Nice to have

Experience with data lineage tools or cataloguing platforms; Knowledge of Master Data Management (MDM) concepts; Exposure to Direct Query / Import modelling trade-offs; Understanding of performance optimisation in reporting tools; Experience working in regulated or large enterprise environments