Analytics Engineer - Analytics & Data Intelligence (Remote, Greece & Cyp

Role Purpose

We are looking for an Analytics Engineer to help scale the "engine" behind our business intelligence — at a moment when that engine is expanding its mandate. Our BI team is evolving into an Analytics & Data Intelligence function, moving beyond reporting and pipelines into automated intelligence features that directly influence how we understand and serve our customers. This role sits at that intersection: partnering with our data and engineering teams — as well as backend engineers, Sales/RevOps, Marketing, and Product and AI Engineering stakeholders — to build reliable, high-performance pipelines while also contributing to ingestion, orchestration, and LLM-powered classification workflows. The scope is broader than a typical Analytics Engineer role at this stage, and the opportunity to shape and own it is equally so.

The Impact You’ll Have

• Scaling the Warehouse: Partner with our Analytics Engineer to refactor and optimize our dbt pipelines, ensuring they remain fast and cost-efficient as our data volume grows.
• Internalizing Ingestion: Bridge the gap between product data and BI by maintaining and extending ingestion scripts (Go/Python) to ensure we have the data we need, when we need it.
• Data Intelligence: Build the pipelines that power internal "intelligence" features, such as automated customer segmentation, sentiment classification, and qualitative research tools.
• Operational Excellence: Strengthen our data activation layer, ensuring our CRM and operational tools stay in sync with the warehouse.
• Governance & Trust: Drive initiatives around data lineage, documentation, and quality testing to maintain high trust in our reporting.

What you’ll do

• Advanced dbt Modeling: Build modular, well-tested SQL models using dbt. You’ll focus on the "heavy lifting" of the transformation layer—macros, incremental strategies, and performance tuning.
• Pipeline Engineering: Maintain and optimize custom ingestion workflows and orchestration, ensuring high availability and reliability.
• Intelligence & Automation: Implement internal automation workflows that leverage LLMs for data classification and insights generation within the warehouse.
• Data Activation: Own the "Reverse ETL" flows that push critical business signals back into GTM tools for Sales, Marketing, and Success.
• Technical Standards: Contribute to our engineering culture through code reviews, documentation, and the enforcement of data contracts with upstream providers.