Senior Data Engineer

Location: Poland; remote workplace

Company

hirify.global is an independent technology consultancy building modern data platforms, intelligent systems, and bespoke software for enterprises, scale-ups, and government clients across Sydney, New Zealand, London, and Poland.

What you will do

• Own the architecture and technical direction of modern, cloud-native data platforms.
• Design and deliver greenfield data platforms using Databricks, Snowflake, AWS, and GCP.
• Build and optimize batch and real-time pipelines with Kafka, Flink, Kinesis, Pub/Sub, Airflow, Dataflow, and Glue.
• Process large datasets with Spark and Flink while optimizing storage, access patterns, and production performance.
• Work directly with clients to translate business needs into pragmatic engineering solutions.
• Set engineering standards, review designs and code, mentor engineers, and improve data quality, testing, observability, and operational excellence.

Requirements

• Senior-level hands-on data engineering experience with Python, SQL, Spark, and modern data platforms.
• Experience designing and operating large-scale data platform architectures and production pipelines.
• Strong data modeling skills and the ability to balance performance, cost, and complexity.
• Experience with relational, NoSQL, and analytical databases and formats including Postgres, BigQuery, Snowflake, Cassandra, MongoDB, Parquet, Delta, ORC, and Avro.
• Infrastructure-as-code experience with Terraform or Pulumi, CI/CD with GitHub Actions or ArgoCD, and data quality tools such as dbt, Great Expectations, or Soda.
• Consulting or professional services experience, with strong client advisory, mentoring, and technical leadership skills.

Culture & Benefits

• Work on interesting, high-impact data engineering problems.
• Build modern platforms instead of maintaining legacy systems.
• Collaborate with experienced senior engineers in small, high-calibre teams.
• Enjoy autonomy, technical influence, and room to grow.