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Join a diverse and supportive community
Learn with a can-do attitude
Grow as you shape the data-driven world

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Join. Learn. Grow

our values-driven community

1500+

Lingarians on board

30%

of Lingarians are women

35+

nationalities

7

sites in 6 countries

Lingarozone

  • Diverse, inclusive, and supportive community united around Core Values
  • Remote-friendly, international environment
  • Monthly employee engagement activities

Core Values

  • Technology Excellence
  • Customer Focus
  • Collaboration
  • No Barriers
  • Autonomy

Join. Learn. Grow

with a can-do attitude

1400+

enterprise projects delivered

20+

certified technology partnerships

150+

training sessions every year

80+

technologies to apply to real-world challenges

Knowledge

  • Knowledge Bites: Internal Upskilling & Reskilling Programs
  • Lingaro Competency Centers

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  • Technical certification support
  • Unlimited access to Udemy Business
  • Workshops, conferences, and meetups

Join. Learn. Grow

as you shape the data-driven world

4

step career track for consultants

76%

of managers are internal promotions

110+

Lingarians promoted last year

250+

new certificates earned every year

Development

  • The world is on exciting journey to the data economy. At Lingaro, you'll help drive it! 
  • Level up your skills as a technical expert or manager
  • Make an impact and solve key global data challenges

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  • Get exposure to new projects and technologies
  • Develop a customer focus mindset while working closely with world-class enterprises

Job Openings

Select Category:

  • All
  • Business
  • IT
  • Office

AI/ML Engineer with GCP and AI

Building high-performing, scalable, enterprise-grade ML/AI applications in cloud environment. Working with Data Science teams to implement Machine Learning and GenerativeAI models into production.

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Data Scientist (with GenAI)

Running end-to-end initiatives (Business understanding, Data understanding/preparation, Modeling, Evaluation and Deployment). Analyzing and interpreting the findings.

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Data Scientist (Consumer Analytics)

Running end-to-end initiatives (Business understanding, Data understanding/preparation, Modeling, Evaluation and Deployment). Analyzing and interpreting the findings.

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AI/ML Engineer (GCP)

Building high-performing, scalable, enterprise-grade ML/AI applications in cloud environment. Working with Data Science, Data Engineering and Cloud teams to implement Machine Learning models into production. Practical and innovative implementations of ML/AI automation, for scale and efficiency.

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BI Tech Lead

Acting as a technical lead on data visualization projects. Designing and implementing complex solutions leveraging Microsoft Power BI, Power Platform and Azure.

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Power Apps Developer

Develop and customize Power Apps canvas and model-driven applications according to business requirements. Design and implement user interfaces, forms, and workflows using Power Apps.

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Python Developer

Develop, test, and maintain robust backend applications using Python frameworks like FastAPI, Flask, or Django. Design and implement scalable architectures and APIs to support business needs.

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Data Engineer AWS+Snowflake

Designing and implementing data processing systems using distributed frameworks like Snowflake. 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.

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Engagement Manager

Provide overall management of the project delivery team including resource allocation and utilization, forecasting and budget for consulting services work, while monitoring project health & performance. Work to continually improve, refine, and champion project delivery methodology and procedures.

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Employer Branding Specialist

Working towards constant development of the employer branding area in close cooperation with the Global EB Team. Co-creating the EB strategy of Lingaro.

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Junior Azure Data Engineer

Developing and maintaining data processes by writing source code or updating mapping files. Creation of reports and report modifications in line with requirements.

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SAP BW Consultant

Preparation of architecture of BI solutions leveraging SAP technology stack. Design and implementation of the E2E data processing within SAP BW4HANA. Creation of data loading from various sources of data into SAP BW4HANA, including ECC/S4 extractors. Modeling Calculation Views on SAP HANA.

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Senior Marketing Technology & Content Specialist

Take the lead where your creativity and strategic thinking will shape our brand's success.

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Engagement Manager

Create and manage comprehensive project plans, detailing timelines, milestones, and deliverables. Coordinate project activities from start to finish, ensuring efficient execution. Monitor budgets and allocate resources judiciously.

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Knowledge Management Specialist

Oversee the quality of data entered into the internal project management system by Project Managers as well as our Delivery, Consulting & Advisory, and Go-to-Market. Ensure that all information aligns with the Success Framework standards.

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Marketing Technology & Content Specialist

Help drive innovative digital strategies that captivate and engage our audience.

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Operations Expert

OPS SPOC for Directors, Delivery Leaders, and Engagement Managers. Manage a group of OPS services.

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Senior Azure Data Engineer

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. 

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AI Cloud Architect

Building high-performing, scalable, enterprise-grade LLM/AI applications in cloud environment. Working with Data Science teams to analyze requirements, build architecture conceptions, lead a implementation GenerativeAI and Machine Learning models into production (Tech Lead).

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Data Quality Consultant

We are looking for a data quality consultant who will help mature data quality offerings and lead data quality initiatives for customers.

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Fullstack Developer

Design, build and maintain efficient, reusable and reliable code (mainly backend solutions). Build Node.js/TS based applications.

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AI Consultant (junior/mid)

As a member of the DS/AI Consulting and Advisory, you will participate in identifying new opportunities and engage in projects, mainly innovative.

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Environmental Analytics Business Expert

Advisory Services: Provide expert advice on environmental analytics and reporting, focusing on internal and external sustainability efforts. Data Analytics Focus: Lead initiatives in analyzing environmental data related to carbon footprint, water usage, and adherence to CSR and US SEC standards.

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Data Scientist (DS/Operations Research Experience)

Business understanding, Data understanding/preparation, Modeling, Evaluation and Deployment of solutions – following CRISP-DM methodologies. Understanding of optimization methodologies including linear/integer/nonlinear programming and heuristics for finding the best solution to the business problem.

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Data Scientist (Forecasting)

Business understanding, Data understanding/preparation, Modeling, Evaluation and Deployment of solutions – following CRISP-DM methodologies. Experience with business requirements gathering, transforming them into technical plan, data processing, feature engineering, hypothesis testing, transforming findings into tasks, sharing know-how and working on projects as a SME of Supply Chain area, specifically in optimization projects.

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Solution Architect with Cloud

Building and integrating Data and Analytics information systems to meet the company’s needs. Assessing the systems architecture currently in place and working with technical staff to recommend solutions to improve it.

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Project Manager

Coordinate internal resources and work with third parties/vendors for the flawless execution of projects. Ensure that all projects are delivered on-time, within scope and within budget. Developing project scopes and objectives, involving all relevant stakeholders and ensuring technical feasibility.

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AI/ML Engineer (Azure)

Building high-performing, scalable, enterprise-grade ML/AI applications in cloud environment. Working with Data Science teams to implement Machine Learning and statistical models into production. Practical and innovative implementations of ML/AI automation, for scale and efficiency.

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The information on personal data processing can be found HERE in English or HERE in Polish

Benefits

"Office as an option" model

Great Place to Work®
certified employer

Flexible working hours

Unlimited access to Udemy
Business courses

Internal professional
development programs

Professional certificate
trainingprograms sponsored

Life insurance

Private healthcare package

Multisport
membership sponsored

Modern equipment
wherever you need it

Regular team building
events

Organized health and
well‑being initiatives

Background

Our Ecosystem Partners

Solution Integrations and Technology Expertise

Public Cloud Providers for D&A

Specialized Data Platforms and Processing Technologies

Data Visualization

Data Management and Governance

Data Science and AI

Meet some of your future colleagues...

The data journey is on! Join. Learn. Grow.

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