Data Engineer

Devapo; Poland; Hybrid; PLN 199,000 - 240,000; Full time

Benefits offered by this job

Private medical care

Multisport card

Language classes

Hybrid work option

Training and certifications

Career development path

Job summary

Devapo seeks an experienced Data Engineer to plan, develop, and maintain cloud environments for clients. You will design scalable data pipelines across Azure, AWS, and GCP using tools like Databricks and Azure Data Factory, and collaborate with cross-functional teams to deliver robust data solutions.

The role requires 3+ years in data engineering, strong Python/SQL skills, and deep knowledge of cloud data services.

Qualifications

• Minimum 3 years of experience as a Data Engineer or in a similar role.
• Hands-on experience with Azure, AWS or GCP cloud platforms and data services.
• Proficiency in Python and SQL, plus Spark/Databricks experience.
• Strong knowledge of data modeling, ETL/ELT, and data governance.

Responsibilities

• Design, implement, and maintain scalable data pipelines across cloud environments.
• Develop and optimize ETL/ELT processes using cloud-native services and Spark/Databricks.
• Build Big Data solutions aligned with business and analytical requirements.
• Collaborate with Data Science, BI, and development teams to deliver high-quality data.
• Monitor, troubleshoot, and optimize performance, reliability, and scalability of data systems.
• Ensure data governance, security standards, and best practices across environments.

Skills

Python

SQL

PySpark

Databricks

Cloud data platforms

Tools

Azure Data Factory

Azure Data Lake

Synapse Analytics

AWS Glue

S3

Redshift

BigQuery

Databricks

Apache Spark

Cloud Storage

Job description

We are looking for an experienced Data Engineerresponsible 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