This position is open only to candidates who are legally residing in Poland and can work with us through a registered business entity in Poland (e.g., sole proprietorship/JDG or limited liability company/sp. z o.o.).
As part of onboarding, we kindly ask new joiners to visit our Warsaw office on the first day for a short introduction, identity verification, and equipment pick-up.
Location: Warsaw, Poland
Employment type: B2B contract
Work model: 100% remote
Business travel: Occasional, up to once per quarter (e.g., onboarding sessions or workshops)
Seniority level: Tech Lead
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
Content as a Service (CaaS) is a strategic central capability that enables Sanoma Learning to efficiently scale and innovate its digital offerings. It provides a single, enterprise-grade service to ingest, enrich, and deliver all learning content and educational metadata – from both print and digital sources – for use in digital customer facing products and method creation.
Responsibilities
We are looking for a Data Engineer Tech Lead to join our team in a dual role that combines hands-on engineering with technical leadership. You will actively design, build, and maintain our central data storage and processing layer while also providing architectural direction, technical ownership, and day‑to‑day guidance for a team of data engineers. This role suits someone who enjoys deep technical contribution and takes responsibility for setting standards, shaping the platform’s evolution, and enabling others to deliver high‑quality data solutions.
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.
Tech Lead–specific Requirements
Proven experience designing data architectures and leading technical solutions end-to-end.
Ability to make and communicate architectural decisions and trade-offs clearly.
Experience leading or mentoring other engineers in a hands-on, pragmatic way.
Strong ownership mindset with the ability to drive initiatives from concept to production.
Nice-to-have Requirements
Hands-on / Individual Contributor 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.
Experience working with Content Management Systems (CMS) and content-centric data (e.g. articles, learning materials, metadata, versions, publishing workflows).
Experience working with central or shared data platforms serving multiple teams or domains.
Exposure to cost management and optimization strategies in cloud-based data platforms.
Tech Lead–specific Requirements
Experience working as an Engineering Manager or in a people-management role, including supporting team development, performance, and delivery ownership.
What We Offer
B2B contract for an indefinite period
Work-life balance and a supportive, informal atmosphere
Opportunity to shape the architecture and direction of a central data platform
Technical leadership role with real ownership and decision-making impact
Work on modern data platforms (cloud environments, AWS stack)
Build and scale data solutions supporting AI-driven products in education
Collaborate with Data Engineers, Data Scientists, Product teams, and AI Engineers
Mentor and grow a team of data engineers in a hands-on environment
Work in a flexible, result-oriented and collaborative setup