Big Data Engineer IV
Builds and owns large-scale data processing systems and pipelines for an advertising platform handling billions of requests and over 1 PB of daily data. Requires extensive Java or Scala experience, Big Data expertise, cloud and warehouse proficiency, and a bachelor's degree.
About the job
Responsibilities
- Design large-scale data processing systems.
- Work with Product to drive requirements and own projects end-to-end.
- Analyze and improve application efficiency, scalability, and stability.
- Architect, create, and deliver features for an enterprise data platform handling billions of ad requests daily and more than 1 PB of data daily.
- Identify unnecessary complexity and remove it.
- Develop scalable, modular applications in an Agile/Scrum environment.
Requirements
- 8+ years of experience with Java or Scala development; Python is a plus.
- 3+ years of experience developing Big Data systems.
- Experience building complex data pipelines, including SQL-based transformations with dbt or Dataform.
- Experience with large-scale distributed processing frameworks such as Apache Spark.
- Expertise with BigQuery or other data warehouses, including performance tuning and monitoring.
- Familiarity with Airflow, including extending it with new data pipelines and troubleshooting operational issues.
- Cloud experience with Google Cloud Platform or AWS, Kubernetes, and Docker.
- Understanding of CI/CD, automated testing, monitoring, and DevOps practices.
- Strong knowledge of algorithms, data structures, and platforms.
- Experience with database system design, relational databases, and/or NoSQL.
- Bachelor's degree in computer science, physics, or a related field; a master's degree is a plus.
- Fluency in Polish and English.
- Good written and oral communication skills.
- Experience working in digital media, marketing technology, or advertising technology is a plus.
- Ability to independently identify and act on areas for improvement.
Compensation and Benefits
- Employment contract: 23,375–26,125 PLN gross per month.
- B2B contract: 186–208 PLN net per hour.
- Annual performance bonus.
- Tax-deductible system through copyright protection: 75%.
- Private health care for employees and families.
- Private life and travel insurance.
- MultiKafeteria program.
- LinkedIn Learning access and technical workshops.
- Holiday allowance.
- Pension scheme through PZU.
- Additional paid day off.
- Free parking.
- Peer-to-peer recognition platform.
- Monthly work-from-home allowance and a one-time home-office setup payment.
- Support for personal milestone celebrations.
Skills
Java, Scala, Python, Spark, SQL, dbt, Dataform, BigQuery, Airflow, GCP, AWS, Kubernetes, Docker, CI/CD, NoSQL
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