Senior Analytics Engineer (with conversational spanish)

Location: Ukraine/Europe

About the role

We are looking for an Agile, product-oriented Senior Analytics Engineer to drive our

modern data architecture. You will be the bridge between raw data and business value for

our digital products and online services.

In this role, speed and value are key. You will adopt an MVP (Minimum Viable Product)

mindset to launch data products quickly, iterate fast, and provide actionable insights for our

Marketing and Finance teams. You will work on our cutting-edge stack—building robust

pipelines in dbt and BigQuery, and exposing data through our next-generation semantic

layer in Omni Analytics.

What you will do

• Modern Data Modeling: Design, build, and maintain scalable dbt models in

BigQuery. Transform raw data into clean, tested, and documented data marts ready

for analysis.

• MVP Delivery: Adopt a fast-paced, product-oriented mindset. Launch Minimum

Viable Products for data reporting to give product and business stakeholders quick

answers, then iterate based on feedback.

• Semantic Layer Ownership: Implement and govern the business logic in Omni

Analytics (or similar modern BI tools), ensuring metrics are defined once and trusted

by everyone.

• Cross-Functional Analytics: Collaborate closely with Marketing and Finance

departments to understand our digital platform metrics (CAC, LTV, ROI, conversion

funnels, retention, and MAUs) and translate them into technical solutions.

• Quality & CI/CD: Apply software engineering best practices to data: version control

(Git), automated testing, and CI/CD workflows for data pipelines.

Requirements

• Experience: 6+ years in a Data Engineering, Analytics Engineering, or advanced BI

role.

• Modern Data Stack (Essential): Extensive experience with dbt and cloud data

warehouses (preferably BigQuery, though Snowflake/Redshift is valid).

• BI & Semantic Layers: Experience with Omni Analytics is highly desired.

Alternatively, strong experience in Looker (LookML), Power BI, or Tableau, with a

clear understanding of semantic layers and governed metrics.

• Domain Knowledge: Strong understanding of digital products, online services, and

high-traffic platform dynamics. Exposure to Marketing and Finance data is highly

desirable.

• Technical Skills: Advanced SQL optimization, data modeling (star schema, OBT),

and Git workflow.

• Mindset: MVP-oriented, proactive, and capable of finding innovative solutions to

challenging problems.

Tools you will work with

BigQuery · dbt · Omni Analytics · SQL · Git · Digital product analytics platforms