Principal Data Engineer

About the Role:

We are seeking an experienced and visionary Principal Data Engineer to lead the design, implementation, and optimization of our data infrastructure and pipelines. You will serve as a technical expert, mentor, and strategic thinker who plays a pivotal role in enabling data-driven decision-making across the organization. This role combines hands-on engineering with leadership, architecture design, and collaboration across multiple departments.

Key Responsibilities:

• Design and Operationalize a Scalable Data Quality Framework: Design and implement data quality frameworks; conduct validation routines to maintain high standards across platforms.
• MDM Strategy Execution: Collaborate with governance and architecture teams to operationalize the MDM framework across at least two critical domains (e.g., customer, product).
• Data Cleansing & Deduplication: Lead initiatives to eliminate duplicate records and ensure consistency across interconnected systems.
• Integration Oversight: Collaborate with Integration Specialists to monitor and optimize data flows across platforms, including upcoming Snowflake integrations.
• Data Migration & Transformation: Perform end-to-end data transformation and migration using tools such as SQL, Excel, VBA, and Python.
• Advanced Data Modelling: Build and maintain advanced data models that optimize query performance and align with business needs, including both normalized and denormalized schemas.
• Dashboarding & Reporting: Leverage Power BI to visualize data quality metrics and generate actionable insights.
• Stakeholder Engagement: Act as a data subject matter expert, translating technical insights for stakeholders across Engineering, Cybersecurity, Product, and Business teams.
• Documentation: Maintain comprehensive records of data flows, governance policies, quality protocols, and integration processes.
• Business Collaboration: Gather business requirements and deliver scalable data-driven solutions tailored to stakeholder needs.

#LI-RG1

Technical Skills & Qualifications:

• MDM & Governance: Strong knowledge of master data management frameworks and governance practices.

• Integration Tools: Hands-on experience with Boomi or similar tools; familiarity with Snowflake and Anaplan is a plus.

• Data Proficiency: Advanced skills in SQL, Excel, VBA, and Python for data manipulation and transformation.

• Data Visualization: Skilled in creating dashboards and reports using Power BI.

• Enterprise Systems: Good understanding of data structures in Salesforce and NetSuite.

• Business Process Knowledge: Familiar with lead-to-cash workflows and related business processes.

• Tools: Experience with JIRA and ITSM platforms is beneficial.

• Education: Bachelor’s degree in IT, Data Science, Engineering, or related field.

• Experience: 10+ years in data engineering, with a track record of leading large-scale transformation projects.

• Wellbeing focused – Our people are our greatest assets, and ensuring everyone feels their best self to come to work is integral. 
• Annual Leave – 20 days of annual leave, plus public holidays 
• Employee Assistance Programme – Free advice, support, and confidential counselling available 24/7. 
• Personal Growth – We’re committed to enabling your growth personally and professionally through development programmes. 
• Life Insurance - 2x annual salary 
• Personal Accident Insurance - providing cover in the event of serious injury/illness.
• Performance Bonus – Our Group-wide bonus scheme enables you to reap the rewards of your success.