CareerPlan

Analytics Engineer

Vilnius, LTRemoteFull-time€4k–€5k2026-10-07 → 2026-11-10
Hybrid

Core

Design, build, and maintain robust dimensional data models and transformation pipelines using SQL and dbt in BigQuery, while building dashboards and performing statistical analyses to surface patterns and strategic opportunities.

Role type

Senior Analytics Engineer (AI-assisted)

Builds

Trusted, well-governed data models, transformation pipelines, and dashboards for decision-making across the organization.

Domain

Software / Data Engineering / Cloud Data Warehousing

Deliverable

production ML models

Required skills

Advanced SQL, dbt, BigQuery, Data Studio, Git/GitHub, Statistical analysis, AI tool usage (Claude, Copilot, etc.)

Preferred skills

Semantic/metrics layer tooling, Python for automation, Agentic AI workflows

Technologies

SQL, dbt, BigQuery, Data Studio, GitHub, Jira, Claude, Copilot, Gemini

Responsibilities

Design and maintain dimensional data models and transformation pipelines; Build and maintain dashboards in Data Studio; Perform descriptive, diagnostic, and statistical analyses; Use AI tools for code generation, review, documentation, and testing; Ensure data models follow governance standards and GDPR protocols.

Seniority

Senior, hands-on IC