---
title: 'Azure Data Engineer at Lingaro'
canonical: 'https://feeny.ai/job/azure-data-engineer-lingaro-mexico-9vtg8qhr1abb'
type: 'job'
last_seen: '2026-11-08'
---

# Azure Data Engineer at Lingaro

- **Company:** Lingaro
- **Location:** Mexico
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-11-04
- **Last confirmed live:** 2026-11-08
- **Apply:** https://jobs.lever.co/lingarogroup/a782c079-fd00-4915-af16-76871942a738

## Job description

Building data pipelines to ingest data from various sources such as databases, APIs, or streaming platforms. Integrating and transforming data to ensure its compatibility with the target data model or format Designing and optimizing data storage architectures, including data lakes, data warehouses, or distributed file systems. Implementing techniques like partitioning, compression, or indexing to optimize data storage and retrieval. Identifying and resolving bottlenecks, tuning queries, and implementing caching strategies to enhance data retrieval speed and overall system efficiency. Designing and implementing data models that support efficient data storage, retrieval, and analysis. Collaborating with data scientists and analysts to understand their requirements and provide them with well-structured and optimized data for analysis and modeling purposes. Collaborating with cross-functional teams including data scientists, analysts, and business stakeholders to understand their requirements and provide technical solutions. Communicating complex technical concepts to non-technical stakeholders in a clear and concise manner. Independence and responsibility for delivering a solution Ability to work under Agile and Scrum development methodologies Train and mentor junior data engineers, providing guidance and knowledge transfer Designing and implementing data processing systems on Azure platform. This involves writing efficient and scalable code to process, transform, and clean large volumes of structured and unstructured data. Building data pipelines to ingest data from various sources such as databases, APIs, or streaming platforms. Integrating and transforming data to ensure its compatibility with the target data model or format. Identifying and resolving bottlenecks, tuning queries, and implementing caching strategies to enhance data retrieval speed and overall system efficiency. Collaborating with cross-functional teams including data scientists, analysts, and business stakeholders to understand their requirements and provide technical solutions.

What We're Looking For:

Databricks 4/5. Apache Spark 4/5. Programming – Data 4/5. Software Development for DE – 4/5. Azure Services – 3/5. Technical Leadership – 3/5. Architecture – Data Processing – 3/5. GenAI for Data Engineering – 3/5. CI/CD Automation 3/5.

Other: 4-6 years of professional experience in a similar role. Very good level of communication including ability to convey information clearly and specifically to co-workers and business stakeholders. Working experience in the agile methodologies – supporting tools (JIRA, Azure DevOps). Experience or familiarity with other cloud technologies, data warehouses, data governance, and business analysis is a plus. Independence and responsibility in delivering solutions. Ability to work under agile methodologies. Hands-on experience in designing and optimizing of data storage (data lakes, data warehouses, distributed file systems).

## About Lingaro

## Company Overview
- **One-liner**: Global end-to-end data and AI partner to leading brands and enterprises, turning complex data into actionable insights and AI-driven automation.
- **Entity Type**: Privately Held (no public funding disclosures; bootstrapped growth assumed)
- **Headquarters**: Warsaw, Poland
- **Founded**: 2008
- **Founders**: Not publicly available

## Core Business
- **Primary industries**: IT Services and IT Consulting; Data & Analytics; AI Services
- **Target customers**: B2B, primarily large enterprises and global brands, including highly regulated industries (retail, CPG, supply chain, manufacturing)
- **Mission**: Help clients achieve more with data and AI by creating data-driven and AI-augmented experiences that deliver human impact and measurable business outcomes.

## Products & Services
- **Marketing & Commercial Analytics**: Marketing/media effectiveness, sales & channel execution, Revenue Growth Management (RGM), omnichannel commerce & content automation.
- **Intelligent & Resilient Supply Chain**: Demand planning, sensing & forecasting, manufacturing intelligence, inventory optimization, warehouse automation, logistics analytics.
- **Sustainability & Compliance**: Sustainable product intelligence & LCA, decarbonization & net zero pathway, compliance-grade reporting & risk management.
- **AI & GenAI**: Custom AI models, machine learning solutions, automation including GAIA (AI sales & customer support assistant).
- **Data Consulting**: Strategy development, governance frameworks, architecture design.
- **Technology Consulting & Advisory**: Digital transformation guidance, technology roadmaps.
- **Data Visualization**: Dashboards and reporting.
- **Learning Technology & Adoption**: Training programs, user adoption strategies (5x faster adoption with 7 accelerators).
- **Intelligent Operations & Support**: Managed services, 24/7 support, optimization.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private company)
- **Key Metric**: Over 1,800 employees worldwide (homepage) / 1,092 according to LinkedIn (+3% YoY)
- **Notable Investors/Partners**: Partnerships with leading hyperscalers (not named); no external investors publicly listed.
- **Growth Signals**:
  - Recognized as a **Leader in ISG Provider Lens 2025** (Advanced Analytics and AI Services across Europe and the US).
  - **Fortune 100 Best Companies to Work For in Europe™** (2024).
  - **Great Place to Work®-certified** in Poland, Philippines, and India (2025).
  - **Best Workplaces™ in Asia** (2024).
  - Supports **75+ leading brands across 30+ countries**.
  - Workforce distributed across 25 countries; operations in 6 countries (Poland, US, Philippines, Singapore, Mexico, Switzerland).
  - Open positions visible on careers page (e.g., Data Engineer, AI DevOps, Supply Chain roles).

## Competitive Advantages
- **End-to-end data & AI services** – from strategy/advisory to implementation, adoption, and managed support.
- **Deep industry expertise** – especially in highly regulated sectors (retail, CPG, supply chain, sustainability).
- **AI adoption framework** – 5x faster adoption via proprietary accelerators and change management.
- **Human-centric approach** – combines design thinking, AI, and human creativity to build user-centric solutions.
- **Global delivery model** – 24/7 support across time zones with strong European roots and global scale.
- **Awards & recognition** – multiple Great Place to Work seals and ISG Leader status validates both workplace culture and service quality.

## Strategic Focus
- **Data and AI readiness** – helping organizations become “data-ready, AI-ready, and future-ready.”
- **Growth in AI & GenAI** – expanding custom model development and automation solutions like GAIA.
- **Supply chain resilience** – intelligent supply chain offerings as a key growth vertical.
- **Sustainability services** – compliance-grade reporting and decarbonization pathways for clients.
- **Geographic expansion** – continues to scale presence in the US, APAC, and Europe.

## Why Work Here
- **Culture**: Great Place to Work®- certified for multiple consecutive years; Fortune 100 Best Workplaces in Europe; Best Workplaces in Asia 2024.
- **Work environment**: Remote and hybrid roles available (e.g., many positions listed as “Remote — Full-time Poland”).
- **Growth & learning**: Strong focus on learning technology and adoption – internal training programs and career development.
- **Global team**: Collaboration across 6 countries and 25 nationalities; exposure to large enterprise clients.
- **Engineering culture**: Heavy emphasis on data engineering, AI/ML, cloud (GCP, Snowflake), and modern tech stacks.
- **Employee rating**: 3.8/5.0 (249 reviews on LinkedIn) with Culture rated 4.0, Work-Life 3.9, Career 3.7.

## Sources
1. [Lingaro Group About Page](https://lingarogroup.com/about)
2. [Lingaro LinkedIn Company Page](https://www.linkedin.com/company/lingaro)
3. [Lingaro Careers Page (Lever)](https://jobs.lever.co/lingarogroup)
4. [Lingaro Group Home Page](https://lingarogroup.com/home)
5. [Lingaro Executive Leadership Page](https://lingarogroup.com/about/executive-leadership-team)

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