Senior Data Engineer (Apache Kafka)

Location: Remote from Bulgaria, Poland, Romania, or Ukraine

Company

hirify.global is the employer for this Engineering & Technology role.

What you will do

• Design and maintain canonical and semantic data models across products and data domains.
• Define data contracts, integration standards, reusable patterns, dictionaries, specifications, and architecture documentation.
• Build and maintain batch and real-time data pipelines and integrate heterogeneous systems.
• Architect, deploy, administer, monitor, secure, and optimize Apache Kafka clusters, including topics, partitions, replication, capacity, and performance.
• Create data foundations for reporting, analytics, machine learning, and LLM-based capabilities.
• Implement data lineage, telemetry, observability, usage tracking, and data quality monitoring while collaborating with product managers, data scientists, and application engineering teams.

Requirements

• 5+ years of professional data engineering experience.
• Expert-level hands-on Apache Kafka experience, including production cluster setup and administration.
• Strong experience with Kafka broker configuration, topics, partitions, replication, SASL/SSL, ACLs, schema registry, monitoring, alerting, and performance tuning.
• Deep expertise in canonical and semantic data modelling and in integrating heterogeneous systems with different schemas, frequencies, and business contexts.
• Strong SQL and Python skills for production data engineering.
• Experience designing data platforms for reporting, analytics, AI, and machine learning use cases.
• Strong understanding of data contracts, integration standards, and reusable data architectures.
• Excellent technical documentation and written communication skills; ability to work autonomously and drive solutions in ambiguous environments.

Nice to have

• Experience with data observability, lineage, telemetry, and data quality monitoring.
• Experience with Databricks, Microsoft Fabric, Snowflake, SageMaker, or similar platforms.
• Experience supporting AI/ML pipelines, feature stores, training datasets, or embedding-ready data structures.
• Knowledge of Kimball, Data Vault, and medallion architecture approaches.
• Experience with energy, Oil & Gas, or industrial operational data.

Culture & Benefits

• Remote work is available from Bulgaria, Poland, Romania, or Ukraine.
• Work focuses on a next-generation data platform supporting a broad portfolio of energy-sector products.
• The role involves autonomous work and driving solutions in complex, evolving, and ambiguous environments.
• Equal opportunity employment is provided regardless of protected personal characteristics.