Data Engineer

TL;DR

Data Engineer: Building and scaling robust data pipelines for efficient and reliable data flow with an accent on real-time data processing, data ingestion, and transformation from diverse sources. Focus on contributing to the evolution of the data platform and architecture, deploying services using Kubernetes and IaC tools.

Company

Breakwater Technology is a technology solutions company passionate about Customer tailored product development.

What you will do

• Build and scale robust data pipelines using Python, SQL, Airflow, and DBT.
• Develop and maintain real-time data processing with Kafka and Spark Structured Streaming.
• Ingest and transform data from diverse sources and formats (JSON, Avro, Parquet, APIs, etc.).
• Influence and contribute to the evolution of our data platform and architecture.
• Deploy and manage services using Kubernetes and IaC tools.

Requirements

• Proficiency in Python for data engineering.
• Strong SQL skills, Including window functions, advanced merges, upserts, and clean code (CTEs).
• Data warehouse experience: Building from raw data with staging and data quality checks.
• Data pipeline orchestration: Experience with Apache Airflow and DBT.
• Experience with CI/CD tooling (Docker, GitLab Pipelines).
• English fluency: As our work environment is fully English-speaking, strong communication in English is essential

Nice to have

• Knowledge of open data formats, particularly Apache Iceberg.
• Experience with cloud platforms (GCP, AWS, or Azure).
• Familiarity with Kafka (especially for data consumption use cases).
• Experience with Kubernetes (K8s) for service orchestration.
• Experience with distributed data processing using Spark or Trino.

Culture & Benefits

• Trial period: 4 months
• Relocation package
• 13th salary after probation period
• Private health insurance
• Travel insurance
• 5 weeks of annual leave
• Sport compensation

Hiring process

• Intro call with hirify.global
• Call with HR
• Technical Interview