Staff Analytics Engineer

Embedded Shishya; Denmark; On-site; DKK 900,000 - 1,200,000; Full time

Job summary

Pleo is seeking a senior Analytics Engineer to own the semantic layer and oversee analytics standards across the organisation. This role focuses on developing, improving, maintaining and evangelising our modelling standards and AI-augmented development practices that Analytics Engineers use across teams.

The semantic layer will be the single source of truth that AI agents, BI tools, and analysts query. You’ll help shape tooling choices (GCP, BigQuery, dbt Core, Airflow, Python) and collaborate

Job description

About Pleo

Messy spend management is tricky business. And tedious processes are a lose-lose situation for all involved, not just finance. At Pleo, we're changing that. We build spend solutions that make managing money seamless, empowering, and surprisingly effective for finance teams and employees alike - with a vision to help all businesses ‘go beyond’.

The word ‘Pleo’ actually means ‘more than you’d expect’, and living by that mantra has been the secret to our success over the last 10 years.

Now, we’re at a pivotal moment in our journey; every move we make has a direct impact on our 40,000+ customers, our business, and our collective success. We need people who take pride in uncovering customer needs, who turn complex problems into simple solutions, challenge the way things are done (respectfully), and always aim high. With great ambitions driving us forward, we can’t say we’ve got this whole thing figured out. And frankly, that’s half the fun! What we can say is that we’re a driven, progressive, and, importantly, a kind bunch of 850+ people from over 100 nationalities, all committed to delivering the future of business spending, together.

About the role

This is a senior individual contributor role in our Data Services & Governance team where you'll act as the thought and technical leader owning the semantic layer and analytics standards for Pleo. This means that you won't own a domain but you'll own what good looks like across all of them by developing, improving , maintaining and evangelising our modelling standards and AI-augmented development practices that every Analytics Engineer work with, regardless of which team they sit in.

The semantic layer you will be designing and maintaining will be the single source of truth that AI agents, BI tools, and analysts query. This is foundational work with company-wide reach which will be ideal for you if you enjoy building things from the ground up. Our semantic layer is still in very early stage. Tooling selection is live, and this role has a strong voice in it. Our BI stack is also in transition so, you would not be inheriting a mature setup and maintaining it. You'd be deciding what it should be, then building it.

For additional context, our tech stack currently include: GCP, BigQuery, dbt Core, Airflow, SQL, Python, Claude Code, GitHub Copilot.

Who you'll work with

You’ll report to the Data Engineering Manager who oversees the Data Infra & MLOps team as well as the Data Services & Governance team. Your primary relationship will be with Analytics Engineers embedded across the Intelligence function who should come to you for architecture guidance, semantic layer decisions, and standards questions. You will also partner with a Staff Data Engineer on data engineering standards and pipeline