Analytics Engineer

🔥 1 minute ago

🌐 South Africa, Brazil, +4 more countries – Remote

🇿🇦 South Africa – Remote 🇧🇷 Brazil – Remote 🇦🇲 Armenia – Remote 🇭🇺 Hungary – Remote 🇦🇷 Argentina – Remote 🇲🇰 North Macedonia – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Uberall

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2013

🍽️ Food & Beverage

🏨 Hospitality

🚘 Automotive

Food & Beverage • Hospitality • Automotive

Uberall is an AI-powered SaaS platform that helps multi-location brands manage and optimize their local digital presence. It centralizes listings, location data, review management, messages, local pages, social publishing and analytics, and uses its AI agent (UB-I) and Location Performance Optimization (LPO) to improve discoverability, engagement and revenue across search, maps, voice and AI platforms. Uberall integrates with CRMs, POS and analytics tools to scale local SEO and reputation management for marketing and customer experience teams.

📋 Description

• Design and build dbt models that transform raw sources into trusted curated data • Apply dimensional modeling to create facts and dimensions for analytics • Model transactional CDC and third-normal-form sources • Define and enforce naming conventions and project structure • Build and maintain datasets and data products for internal stakeholders • Deliver reporting in Metabase and Pigment • Translate business questions into data models with stakeholders • Enable safe, governed data sharing across teams • Own the health of production pipelines orchestrated in Databricks or Apache Airflow • Set up monitoring, alerting, and data quality checks • Manage CI/CD pipelines, schema migrations, and safe releases • Tune workload performance and costs on columnar engines • Establish reusable development patterns and code review standards • Maintain documentation, lineage, and column-level metadata • Contribute to governance standards and data contracts • Support vendor and third-party data ingestion • Use AI coding assistants to write, test, refactor, and document SQL, dbt, and Python • Explore AI for documentation, data quality checks, and self-serve analytics

🎯 Requirements

• Proven experience with dimensional modeling for analytics warehouses • Hands-on production experience with dbt • Understanding of CDC and third normal form modeling for MySQL or PostgreSQL sources • Experience with lakehouse architecture and Delta Lake • Strong SQL and confident, practical Python • Comfort with Git, the Linux shell, and code review workflows • Experience structuring and orchestrating workflows in Databricks or Apache Airflow • Production experience with CI/CD, migrations, monitoring, and alerting • Experience with AWS and Databricks • Demonstrated ability to model for and performance-tune columnar engines • Experience loading data from vendors and third-party sources • Experience with data quality processes • Familiarity with data contracts and semantic layers is a plus • Visualization experience with Metabase, Pigment, or similar tools • Ability to explain technical trade-offs clearly to non-technical colleagues • Ability to plan and deliver complex work independently, with minimal supervision • Ability to raise issues early and propose solutions • English proficiency for day-to-day work and stakeholder communication

🏖️ Benefits

• 100% remote work • Compensation paid in EUR (amount not specified) • AI coding assistants and AI innovation in the workflow • Human review integrated into the quality process • Fully English day-to-day work and stakeholder communication