Data & Analytics Engineering Lead
AI Summary
Own the full data stack for a transit technology platform used by operators across Europe, the Middle East and Asia. From ETL pipelines through to BI dashboards and AI-powered analytics.
About this role
Own the full data stack for a transit technology platform used by operators across Europe, the Middle East and Asia. From ETL pipelines through to BI dashboards and AI-powered analytics.
A hands-on lead role at real scale — a single client can generate multiple terabytes of operational data annually. Genuine architectural authority, a seat in the CTO leadership team, and a growing team to lead.
About Ridango
We are 200+ people with engineering teams across Estonia, Slovenia, Sweden, the UK and Ireland, building the hardware-software stack that processes fare payments and runs fleet operations for transit operators across Europe, the Middle East and Asia — systems millions of people depend on daily. The data function is at an inflection point: the architecture is in production, but needs someone to raise the standards and scale the team.
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.
We offer:
- The opportunity to build Ridango's reporting and analytics into a next-generation platform — combining modern data engineering with AI to deliver completely new value to public transport authorities and operators worldwide.
- Grow with a company that is expanding internationally and investing in the technologies to match.
- Competitive compensation package.
Interested? Apply now or reach out directly to learn more.
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