Data Engineer

We are looking for an experienced Data Engineer responsible for planning, developing, and maintaining cloud environments for our clients.

About Devapo

At Devapo, we focus on continuous self-development and acquiring new knowledge. If you are a fast learner, want to participate in international projects, are a team player, and can work independently — join us!

We provide our clients with more than just code — we want to equip them with tools that allow their businesses to flourish. Our clients’ success is our success, which is why we ensure that everyone who creates Devapo has a long-term goal in mind.

Key Responsibilities:

Design, implement, and maintain scalable and efficient data pipelines in one of the cloud environments (Azure, AWS, GCP) using tools such as Databricks, Glue, Dataflow, or Azure Data Factory

• Develop and optimize ETL/ELT processes using cloud-native services (e.g., Azure Data Factory, AWS Glue, GCP Dataflow) and Apache Spark/Databricks

• Build Big Data solutions aligned with business and analytical requirements across cloud platforms

• Collaborate with Data Science, BI, and development teams to deliver high-quality, well-structured, and performant data

• Monitor and improve the performance, reliability, and scalability of data processing systems

• Implement robust data governance, security standards, and best practices across cloud environments

• Research and evaluate new tools and technologies within the cloud and data engineering ecosystem

Requirements:

• Minimum 3 years of experience as a Data Engineer or in a similar role

• Hands-on experience with one or more major cloud platforms (Azure, AWS, GCP); deep knowledge of cloud data services such as:

• Azure Data Factory, Azure Data Lake, Synapse Analytics (Azure)

• AWS Glue, S3, Redshift, Athena (AWS)

• GCP Dataflow, BigQuery, Cloud Storage (GCP)

• Extensive experience with Databricks and Apache Spark

• Proficiency in SQL and experience with relational and columnar databases

• Strong programming skills in Python and PySpark

• Experience designing and optimizing data pipelines in distributed, cloud-based architectures

• Familiarity with Delta Lake or other modern data lake architectures

• Solid understanding of data modeling and schema design

What We Offer:

• Salary: 17 800 - 21 500 PLN (B2B contract)

• Co-financing for training and certifications, as well as guaranteed time for learning during working hours

• Private medical care and a Multisport card

• Language classes (English)

• Flexible working hours and the possibility of hybrid work (Warsaw)

• Team integration meetings and company events

• Employee referral program with a bonus

• An individually tailored career development path