Senior Data Engineer (Databricks)

Location: Poland — remote

Company

hirify.global is an experience innovation company delivering digital, data, AI, and technology solutions for leading global brands.

What you will do

• Design, build, and optimize scalable cloud data platforms and batch, streaming, and near-real-time pipelines.
• Develop ingestion, transformation, and curation workflows for structured and unstructured data using Spark, Delta Lake, Databricks, or Fabric.
• Enable analytics, machine learning, causal modeling, and GenAI use cases, including LLM, RAG, vector, and agent-based systems.
• Design data models and orchestrate reliable workflows with Airflow, dbt, Databricks Workflows, Azure Data Factory, or equivalent tools.
• Implement lakehouse architecture, governance, lineage, access controls, observability, and data quality monitoring.
• Collaborate with data scientists, ML engineers, analysts, platform teams, and business stakeholders to shape requirements and deliver production-grade data products.

Requirements

• Strong hands-on experience with Apache Spark, Delta Lake, Python, and SQL.
• Proven experience building production-grade batch and streaming data pipelines and distributed data systems.
• Deep expertise in either AWS data services with Databricks or Azure/Fabric with Databricks or native Fabric tooling.
• Experience with lakehouse architectures, data modeling, data quality, governance, scalability, reliability, and performance optimization.
• Strong problem-solving skills, curiosity, detailed analysis, and the ability to challenge and refine business requirements.
• Experience working collaboratively in cross-functional, Agile, or consulting environments.

Nice to have

• Experience with both AWS and Azure/Fabric, or with Snowflake and GCP.
• GenAI data systems, RAG pipelines, vector databases, LLM data preparation, or advanced ML workloads.
• CI/CD, Terraform, CloudFormation, Kafka, Spark optimization, experimentation platforms, or large-scale data products.

Culture & Benefits

• Remote and hybrid work options, subject to country-specific conditions.
• 24 working days of paid vacation, national holidays, sick leave, and unpaid leave.
• Medical insurance, Multisport card or Multikafeteria, and maternity and paternity leave support.
• Workshops, mentoring, certification reimbursement, professional communities, and structured career development.
• Progressive benefits and international mobility and professional development opportunities.

Hiring process

• Talent Acquisition reviews applications and CVs focused on relevant experience and expertise.
• Reasonable interview accommodations are available upon request.