Urgent! Data Engineer - Local Job Opening in Warsaw
*Important:
This position is only for candidates legally residing in Poland and operating under a registered sole proprietorship (JDG).
As part of onboarding, we kindly invite new joiners to our Warsaw office on the first day for a short introduction and identity verification.
Please note that applications from outside Poland cannot be considered.
About us
Sanoma Learning is the leading European learning company, serving over 20 million students in 11 countries.
We offer printed and digital learning materials as well as digital learning and teaching platforms for primary, secondary, and vocational education.
The development of our methodologies is based on deep teacher and student insight and really understanding their needs.
By combining our educational technologies and pedagogical expertise, we create learning products and services with the highest learning impact.
In our Technology organization, you will join the largest cross-cultural community of Sanoma Learning and contribute to the digital transformation and future of education in Europe.
Project description
We are building a new product designed to facilitate the creation and adoption of AI-powered solutions.
As a Data Engineer, you will join brand-new product teams developing cutting-edge AI tools for education, used by learners and educators across multiple European countries.
Your role will focus on designing and implementing scalable data pipelines, integrating diverse data sources, and ensuring the quality, performance, and security of data processing in cloud environments.
This is a unique opportunity to shape not only the product itself but also the data foundations, processes, and team culture from day one — making a tangible impact on how education evolves globally.
Role responsibilities
We are looking for a Data Engineer to join our team and play a key role in designing, building, and maintaining our central data storage and processing layer.
This role is ideal for someone passionate about data, cloud technologies, and emerging AI-driven solutions.
Responsibilities
• Design, develop, and maintain data pipelines to ensure reliable, scalable, and high-performance data flows.
• Work on the central storage layer, ensuring data availability, consistency, and security.
• Collaborate with data scientists, analysts, and software engineers to support data-driven initiatives.
• Implement and enforce best development practices in code quality, testing, monitoring, and deployment.
• Optimize data infrastructure for performance and cost-efficiency in AWS environments.
• Leverage AWS services such as S3, Glue, Lambda, DynamoDB, and Athena to manage and query data.
• Contribute to projects involving Generative AI (GenAI) by enabling data access, preparation, and integration with AI-driven solutions.
• Troubleshoot and resolve issues across the data pipeline and storage systems.
Must-have requirements
• Proficiency in at least one programming language, preferably Python.
• Strong knowledge of AWS cloud services (S3, Glue, Lambda, DynamoDB, Athena, etc.).
• Solid understanding of databases (SQL and NoSQL), including schema design, optimization, and query performance.
• Hands-on experience with data processing pipelines (batch and/or streaming).
• Strong foundation in software engineering best practices, including version control, CI/CD, and automated testing.
• Experience with data modeling, storage formats, and ETL/ELT workflows.
• Familiarity with Generative AI technologies and how data engineering supports AI-driven applications.
• Strong problem-solving skills and ability to work in a collaborative, agile environment.
Nice-to-have requirements
• Knowledge of data orchestration tools (Airflow, Step Functions, Prefect).
• Exposure to big data frameworks (Spark, Hadoop).
• Understanding of data governance and security best practices.
Location
100% remote work
Business travel and its frequency
Occasional (2 to 4 times a year)
What we offer
B2B contract for an indefinite period;
Work-life balance and great atmosphere;
Opportunities for professional development through interesting tasks.
As an employer, Sanoma offers a working environment where you are able and encouraged to show your best self.
The working environment is result-oriented as well as flexible with a focus on collaboration.
We offer you a key position with interesting and challenging tasks and excellent opportunities for professional growth.
You will be part of a highly professional and experienced international team in an open and informal setting, where initiative is expected and rewarded.
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Unlock Your Data Engineer Potential: Insight & Career Growth Guide
Real-time Data Engineer Jobs Trends in Warsaw, Poland (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Data Engineer in Warsaw, Poland using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 6308 jobs in Poland and 2033 jobs in Warsaw. This comprehensive analysis highlights market share and opportunities for professionals in Data Engineer roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Sanoma is currently hiring and seeking a Data Engineer to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Data Engineer Jobs Warsaw.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Sanoma adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Data Engineer Jobs Poland varies, but the pay scale is rated "Standard" in Warsaw. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Data Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your Data Engineer interview at Sanoma, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Sanoma's products or services and be prepared to discuss how you can contribute to their success.
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