Senior Data Engineer
Summary
Senior Data Engineer building and automating tools on a Data Platform for a major European e-commerce client. Day-to-day work is ~65% Python and ~35% JVM (Java/Kotlin/Scala) development on GCP (BigQuery, Composer, Dataproc, Cloud Run) with SQL and PySpark pipelines, plus supporting product and analytical teams via OpsGenie/Slack.
🌍 Hello World!
We are The Codest - International Tech Software Company with tech hubs in Poland delivering global IT solutions and projects. Our core values lie in “Customers and People First” approach that prioritises the needs of our customers and a collaborative environment for our employees, enabling us to deliver exceptional products and services.
Our expertise centers on web development, cloud engineering, DevOps and quality. After many years of developing our own product - Yieldbird, which was honored as a laureate of the prestigious Top25 Deloitte awards, we arrived at our mission: to help tech companies build impactful product and scale their IT teams through boosting IT delivery performance. Through our extensive experience with product development challenges, we have become experts in building digital products and scaling IT teams.
But our journey does not end here - we want to continue our growth. If you’re goal-driven and looking for new opportunities, join our team! What awaits you is an enriching and collaborative environment that fosters your growth at every step.
Project description:
Our client is one of the largest e-commerce platforms in Europe, used by millions of users every day. The company connects sellers - from small businesses to global brands - with customers, offering a vast product selection, fast delivery, and a well-crafted shopping experience.
The role:
Development and automation of tools in the Data Platform area
Supporting the Client's product, technical, and analytical teams in building products, including technology solutions and data-driven services
Assisting the Client's technical and analytical teams in resolving issues reported through organizational communication channels (Slack, email, OpsGenie)
Requirements
At least 5 years of commercial experience in data engineering.
Code in Python (65% of tasks in the team) and JVM languages (Java, Kotlin, Scala; 35%).
Know about Google Cloud Platform (BigQuery, Composer, Dataproc, Cloud Run) or other public cloud providers.
Have a deep SQL and PySpark knowledge.
Work leveraging good practices of software development: TDD, Clean Code, CI/CD, etc.
Navigate efficiently in a Linux/Unix environment.
Have experience with Docker.
Work with git or other version control system.
Interested in emerging technologies like Generative AI and its applications.
Possess team-working skills and a positive attitude.
Eager for personal development, keeping their knowledge up-to-date, and taking an active part in the development of current solutions.
English level min. B2+.
Nice to have:
Know Apache Beam and Google Dataflow
Know Terraform or other IaaC tools
Have experience in Spark or PySpark - not necessarily in a Hadoop environment
Our offer:
20–28k PLN on a B2B contract
Access to the Worksmile platform
A work environment that values growth and innovation - you bring the ideas, and we want to hear them 😉
Recruitment process:
30-minute screen with our recruiter, Justyna
1h technical interview
1h interview with the client
Offer
Questions, insights? Feel free to reach out to our recruiting team:
In the meantime, feel free to visit our website where you can find key facts about us.