Data & Analytics Engineering Lead

Job Description

What you’ll be doing:

• Design and build customer-facing and internal data platforms — data warehouses, ETL/ELT pipelines, AI stack, and BI/reporting solutions.
• Define and enforce data architecture standards across Ridango — modelling, pipeline design, governance and tooling.
• Own data governance across the organisation — data quality, access policies and documentation standards.
• Build AI-based analytics and KPI dashboards for internal stakeholders (Engineering, Product, Operations, Finance) on top of project tracking, ERP, HR and other internal systems.
• Collaborate with Product and customer-facing teams to ensure data exports are structured for reporting and translate requirements into scalable technical solutions.
• Occasional direct exposure to end-customers — supporting reporting discussions and translating customer needs into technical solutions.
• Lead, mentor and grow the Data & Reporting team through 1:1s, development plans and workload management.

What we’re looking for:

• Hands-on data engineering background — data warehouse design, ETL/ELT pipelines, data modelling, SQL and BI/reporting platforms. You’ve built this, not just supervised it.
• Proven track record delivering reporting solutions for external customers in a B2B technology environment.
• Fluent with AI-assisted development, or strong interest in getting there — AI tools are a core part of how we work.
• Familiarity with AI/ML-based analytics and strong data governance discipline.
• Team leadership skills — comfortable developing a small technical team and engaging both technical and non-technical stakeholders.
• Experience with AI tooling for semantic data modelling is a plus.

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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