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Discover remote-friendly opportunities to:
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

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

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

DevOps Engineer

Monitoring infrastructure (Creating Grafana Dashboards, Alerts, Collecting Prometheus Metrics).

Provide leadership and guidance to the data engineering team, including mentoring, coaching, and fostering a collaborative work environment. Set clear goals, assign tasks, and manage resources to ensure successful project delivery. Work closely with developers to support them and improve data engineering processes.

Senior AI DevOps Engineer

Leading the design, deployment, and maintenance of scalable AI/ML/DS solutions. Driving automation and optimization initiatives across infrastructure and model lifecycle management.

Data Engineer with GCP

You will be a part of the team accountable for design, model and development of whole GCP data ecosystem for one of our Client’s (Cloud Storage, Cloud Functions, BigQuery). Involvement throughout the whole process starting with the gathering, analyzing, modelling, and documenting business/technical requirements will be needed. The role will include direct contact with clients.

Fullstack Developer (Python + React)

Design, build, and maintain scalable, efficient, reusable, and reliable frontend and backend code. Develop React/Next.js applications alongside robust Python backend services (FastAPI, Flask, or Django).

Senior Power Apps Developer

Designing, developing, and customizing Canvas and Model-Driven Power Apps applications based on business requirements. Creating user-friendly interfaces, forms, and workflows using Power Apps.

Fullstack Developer (React + NodeJS)

Design, build and maintain efficient, reusable and reliable code. Build React + Node.js based applications. Ensure the best possible performance, quality, and responsiveness of applications.

Copywriter

Develop clear, engaging, and impactful copy for various platforms including websites, social media, email campaigns, whitepapers, and marketing materials. Translate complex technical data and concepts into easy-to-understand, engaging content that resonates with both technical and non-technical audiences.

Solution Architect (Azure Cloud)

Leading delivery of Data Integration and Analytics solutions for our customers provided within Microsoft Azure Cloud Platform. Preparing a complete solution design.

BI Tech Lead (Power BI)

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

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. Building data pipelines to ingest data from various sources such as storages, databases, APIs, or streaming platforms.

Data Scientist (Tech Lead)

Lead the technical design and end-to-end development of AI solutions that align with business goals and technical standards. Design and build high-performing, scalable, enterprise-grade LLM/AI applications in cloud environments.

Data Analyst

Lead the end-to-end data and business analysis process for client projects, from understanding business needs to delivering actionable insights. Design and execute SQL queries to extract, clean, and transform data from various sources.

Enterprise Architect - Data & Analytics

Design and develop data architecture frameworks, models, and blueprints. Work as trusted consultant for our clients. Take part of building proposals of the solutions.

Power Apps Developer

Acting as a lead developer or technical lead on Power Platform projects. Designing and implementing complex solutions leveraging Power Platform – Power Apps, Power Automate, Power Pages and Power BI

BI Tech Lead with Python

Acting as a technical lead on data visualization projects Designing and implementing complex solutions leveraging Microsoft Power BI, Power Platform and cloud platform Educating junior resources

Solution Architect (Cloud/iPaaS)

Leading delivery of Data Integration solutions for our customers. Preparing solution design. Taking responsibility for critical technological decisions.

Senior/Expert Python Developer

Design, develop, and maintain backend applications using Python and Django. Develop and optimize database queries in PostgreSQL and SQLite.

Senior AI/ML Engineer

Implementing AI /MLOps/LLMOps frameworks and supporting Data Science teams in best practices. Gathering and applying knowledge on modern techniques, tools and frameworks in the area of ML Architecture and Operations

AI/ML Engineer

Working with Data Science teams to implement Machine Learning models into production Design, delivery GenAI solutions.Practical and innovative implementations of LLM/ML/AI automation, for scale and efficiency

Junior AI DevOps Engineer

The role involves working under the guidance of more experienced team members on complex projects, including those utilizing Generative AI technologies like Chat GPT.

Data Scientist (Computer Vision with GenAI)

Implementing end-to-end Computer Vision projects at various stages PoCs, MVPs or enterprise solutions. Validating data quality. Developing solution components and functionalities in microservice architecture.

Data Scientist (Talk to Data)

Implementing end-to-end GenAI powered RAG & multi-agent systems. Providing guidance on system architecture & components. Building TTD system components: LLM Agents, LLM Agents setup & prompt engineering / prompting strategies, routing, state managementm, vector stores and more generally context providing, rerankers, validation and assessment rules.

Frontend Developer

Design, build and maintain efficient, reusable and reliable code. Build React/Next.js based applications.

Data Engineer

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.

Data Scientist (Generative AI)

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

Solutions Architect with MS Fabric

Taking part in delivering Data Analytics solutions for our customers; designing, consulting and implementing the solutions based on Microsoft Fabric platform.

BI Tech Lead

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

Regular Azure Data Engineer

Implement data ingestion pipelines using Azure Data Factory, Azure Databricks, and other ETL tools - Create and maintain Azure Data Factory pipelines for data orchestration and Azure Databricks pipelines for data transformation and analytics.

Lead Azure Data Engineer

Integrating and transforming data to ensure its compatibility with the target data model or format. Hands-on experience in designing and optimizing of data storage (data lakes, data warehouses, distributed file systems).

Java Developer

Designing, developing, and maintaining the server-side logic of web applications. Implementing scalable and efficient server-side components and APIs. Working with relational and/or NoSQL databases to store and retrieve data efficiently. Designing and optimizing database schemas for performance and scalability.

Partner Development Manager

Manage and nurture relationships with strategic partners, ensuring alignment with the organization's goals and vision. Develop and execute joint business plans, including market penetration strategies, co-marketing campaigns, and lead-generation programs.

SAP Data & Analytics Developer

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

Power Apps Developer Expert

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.

Data Architect

Formulate and communicate the organization's data strategy, including data quality standards, data flow, and data security measures. Provides a standard common business vocabulary, expresses strategic data requirements, outlines high level integrated designs to meet these requirements

Data Engineering Tech Lead

Involvement throughout the whole process starting with the gathering, analyzing, modelling, and documenting business/technical requirements will be needed. The role will include direct contact with clients

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.

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.

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).

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

"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

Our Ecosystem Partners

Solution Integrations and Technology Expertise

Cloud and Data Platforms

Data Transformation

Data Management

Data Science and AI

Data Visualization

eCommerce and Web

Meet some of your future colleagues...

Michalina Błażejewska
HR Project Management CoE Leader

My name is Michalina and I work with the Lingaro HR Team. This is an extraordinary company where we believe that people are the foundation of our success. In a friendly and caring atmosphere you will meet amazing specialists who are willing to share their passion for IT. Join us if you want to create your own career path. Learn with unlimited access to our professional knowledge and know-how. Grow into an expert in your field. Join, learn, and grow with us!

Grzegorz Tkaczyk
Chief Technology Officer

I’m the Chief Technology Officer at Lingaro.
My favorite part of my job is sharing my knowledge and experience to help customers solve their biggest challenges and set the right direction for their most innovative projects.

Kinga Łobejko-Janik
BI Developer

I’m a BI Consultant specializing in Tableau. I’m a member of the Data Consulting & BI Solutions Business Unit. I’m responsible for data analysis and developing reports in Tableau Desktop.

A key part of my role is working directly with clients from all around the world to identify and define their requirements. At Lingaro, I have a great opportunity to develop my soft and technical skills by learning from colleagues and attending trainings organized by the company.

Arkadiusz Truskolaski
Delivery Director

I build my team around three guiding principles: a willingness to help, a growth mindset, and responsibility.

If you want to be part of a team bringing it all together to provide immersive and cutting-edge services in the business intelligence market, this is the place for you!

Fe Johanna Sanosa
Service Level Manager

At Lingaro, we are all encouraged to take charge of our careers! We are given avenues not only to capitalize on our existing strengths but also to develop new ones at the same time. Lingaro promotes a friendly culture of growth and learning, and people are always willing to share knowledge and lend a hand. The company provides trainings and certifications relevant to our current and future roles. Open communication is highly valued and emphasized to support seamless collaboration within and between teams.

Paweł Daszyński
Data Engineer

Being a part of the Lingaro team is an opportunity to work with friendly people in a modern company in a comfortable environment. If IT is your passion, this is the place for you!

Aneta Polechańczuk
Service Level Manager

What I appreciate at Lingaro the most is that I can focus on things that are the most important for me. I love working in an international, multicultural environment. I don’t just see our core values written down on a piece of paper — I experience them every day during interactions with my colleagues.

Marek Hyb
Delivery Director

Great atmosphere, young teams, and interesting work. They’re all part of the package you get when joining Lingaro. Technology Excellence, Customer Focus, Collaboration, No Barriers and Autonomy aren’t just our core values on paper. They’re the realities of our everyday work! If you want to see it for yourself, please come meet us.

Katarzyna Skalska
Talent Acquisition Specialist

I am a member of Talent Acquisition Team. What I appreciate most about Lingaro is the opportunity to work with fantastic, open-minded people who inspire me every day to achieve more. I know that I can grow here in an atmosphere of safety and support.