---
title: 'Data Modeler - Lead at Lingaro'
canonical: 'https://feeny.ai/job/data-modeler-lead-lingaro-india-ye0qqw9b7p2h'
type: 'job'
last_seen: '2026-10-18'
---

# Data Modeler - Lead at Lingaro

- **Company:** Lingaro
- **Location:** India
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-10-13
- **Last confirmed live:** 2026-10-18
- **Apply:** https://jobs.lever.co/lingarogroup/1aebc768-6c00-4514-897c-f84fb89cd3ce

## Job description

Data Modeler Lead Consultant India, remote

Lingaro Group is the end-to-end data services partner to global brands and enterprises. We lead our clients through their data journey, from strategy through development to operations and adoption, helping them to realize the full value of their data. Since 2008, Lingaro has been recognized by clients and global research and advisory firms for innovation, technology excellence, and the consistent delivery of highest-quality data services. Our commitment to data excellence has created an environment that attracts the brightest global data talent to our team. ​​​​​​​ About Data Management Competency: Focused on Data Governance and Quality Management, establishing and enforcing policies, processes, and practices to ensure the integrity, availability, and reliability of data across the organization.

About the role: We are looking for a Data Modeler with 4–7 years of relevant experience who has a strong foundation in data modeling, an understanding of SAP supply chain processes, and an interest in working with modern cloud data platforms. The ideal candidate will collaborate with business, SAP functional, and data engineering teams to build reliable, scalable data models that support business operations, reporting, and analytics.

What We're Looking For:

- Education and Experience: Bachelor’s or master’s degree in Computer Science, Information Systems, or a related field, with 4–7 years of experience in data modeling or a similar role.
- SAP and Supply Chain Knowledge: Understanding of one or more supply chain processes, such as Order-to-Cash (OTC), Source-to-Pay (STP), , Supply Planning (SP), or in SAP ECC or S/4HANA. Familiarity with supporting systems such as eWM and TMS is an added advantage.
- Data Modeling Skills: Good understanding of conceptual, logical, and physical data modeling, source-to-target mapping, canonical data models, and data modeling best practices. Experience with tools such as erwin Data Modeler is preferred.
- Cloud Data Platforms: Familiarity with cloud data warehouses and data lakes, particularly Databricks on AWS, Azure, or Google Cloud.
- Databricks and SQL: Hands-on experience with Databricks and SQL, along with an understanding of Lakehouse architecture and analytical data processing.
- SAP Data and Relationships: Understanding of SAP modules, master and transactional data, and relationships across business processes to support consistent and accurate data models.
- Data Quality and Governance: Basic knowledge of data profiling, data cleansing, data harmonization, data quality, metadata, lineage, and enterprise data standards.
- Analytics and Reporting: Ability to understand reporting and analytics requirements and design data models that support downstream data consumption and business insights.
- Analytical and Collaboration Skills: Strong problem-solving and analytical abilities, with good communication skills and the ability to work collaboratively with business stakeholders, SAP functional teams, and data engineering teams to resolve data issues and translate business needs into effective data solutions.

We Offer:

- Stable employment. On the market since 2008, 1300+ talents currently on board in 7 global sites.
- 100% remote.
- Flexibility regarding working hours.
- Full-time position
- Comprehensive online onboarding program with a “Buddy” from day 1.
- Cooperation with top-tier engineers and experts.
- Unlimited access to the Udemy learning platform from day 1.
- Certificate training programs. Lingarians earn 500+ technology certificates yearly.
- Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly.
- Grow as we grow as a company. 76% of our managers are internal promotions.
- A diverse, inclusive, and values-driven community.
- Autonomy to choose the way you work. We trust your ideas.
- Create our community together. Refer your friends to receive bonuses.
- Activities to support your well-being and health.
- Plenty of opportunities to donate to charities and support the environment.

Missing one or two of these qualifications? We still want to hear from you! If you bring a positive mindset, we'll provide an environment where you feel valued and empowered to learn and grow.

## 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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