Backend & Big Data Engineer: Scalable Data Pipelines

Akamai Technologies GmbH; Województwo małopolskie; On-site; PLN 167,400 - 279,000; Full time

Benefits offered by this job

Health benefits

Financial benefits

Family support

Work-life balance

Time for personal interests

Job summary

A leading technology firm in Poland seeks a skilled Backend/Big Data Engineer to design and implement scalable solutions utilizing their Cloud Platform. The ideal candidate should have extensive experience in backend positions and be proficient in programming languages such as Java, Scala, and Python. Responsibilities include maintaining data pipelines, creating features, and collaborating with teams like Data Science and QA. The company promotes diversity and equal opportunity in the workplace.

Qualifications

• Extensive experience in Backend / Big Data positions.
• Proficiency in designing, implementing, and monitoring data‑intensive solutions.
• Basic understanding of common algorithms and data structures.

Responsibilities

• Design and implement scalable solutions powered by Akamai's Cloud Platform.
• Develop and maintain data pipelines for processing and analyzing data.
• Create and enhance features while optimizing existing ones.
• Implement unit and integration tests.
• Collaborate with Data Science, SecOps, and QA.

Skills

Backend/Data Engineering experience

Proficiency in Java

Proficiency in Scala

Proficiency in Python

Experience with Microservices

Experience with Spark

Experience with Flink

Experience with PostgreSQL

Experience with MongoDB

Experience with Redis

Experience with Delta

Experience with Iceberg

Experience with Kafka

Experience with RabbitMQ

Experience with SQS

Job description

A leading technology firm in Poland seeks a skilled Backend/Big Data Engineer to design and implement scalable solutions utilizing their Cloud Platform. The ideal candidate should have extensive experience in backend positions and be proficient in programming languages such as Java, Scala, and Python. Responsibilities include maintaining data pipelines, creating features, and collaborating with teams like Data Science and QA. The company promotes diversity and equal opportunity in the workplace.