Data Engineer

This is a fully remote position, open to applicants in Romania.

📋 Description

• Develop and sustain Kafka ingestion pipelines

• Establish topic structures, partition strategies, retention policies, and consumer logic for multi-tenant environments

• Oversee data contracts and manage schema evolution

• Create idempotent ingestion services that transfer data into Iceberg tables

• Design and enhance Iceberg tables (including partitioning, compaction, clustering, and retention rules)

• Collaborate with Nessie branches/tags to oversee multi-environment (dev/test/prod) and multi-MNO deployments

• Construct Spark jobs (both batch and micro-batch when necessary) for cleaning and normalizing events, categorizing senders, and performing identity stitching and grouping

• Develop dbt models on top of Iceberg datasets utilizing Dremio and dbt

⛳️ Requirements

• Over 3 years of experience as a Data Engineer or in a similar role, with proven experience in handling large datasets

• Proficient Python programming skills (essential)

• Experience in creating pipelines on Apache Kafka (preferably in KRaft mode)

• Strong SQL skills with experience in Iceberg table design and optimization

• Experience with Spark for processing at scale

• Familiarity with dbt and SQL modeling on lakehouse storage

• Experience working with Dremio, Trino, or comparable query engines

• Experience with Kubernetes, Helm, and Git-based CI/CD practices

• Knowledge of PII handling, encryption, and compliance standards

• Capability to operate in distributed, multi-environment settings (dev/test/prod + multi-deployments)

🏝️ Benefits

• Competitive salary and benefits package

• Vacation and time-off offerings

• Stock options