Senior Data Engineer (AI)

Location: Sofia, Bulgaria; hybrid work options available

Company

hirify.global is an experience innovation company helping recognized brands create digital products and transform their businesses through data, AI, creativity, and technology.

What you will do

• Design, build, and optimize cloud-based data platforms and scalable batch, streaming, and near-real-time pipelines.
• Develop lakehouse architectures, medallion layers, ingestion workflows, and curated datasets for structured and unstructured data.
• Enable analytics, machine learning, causal modeling, GenAI, RAG, vector-based, and agent-based applications.
• Design data models and orchestrate reliable workflows using tools such as Airflow, dbt, Databricks Workflows, and Azure Data Factory.
• Implement data governance, lineage, quality, access control, observability, monitoring, and SLA adherence.
• Collaborate with data scientists, ML engineers, analysts, platform teams, and business stakeholders to shape requirements and deliver production-grade data solutions.

Requirements

• Strong hands-on experience with Apache Spark, Delta Lake, Python, and SQL.
• Proven experience building batch and streaming pipelines and production-grade data platforms.
• Deep expertise in at least one core platform track: AWS with Databricks, or Azure/Fabric with Databricks or native Fabric tooling.
• Experience with lakehouse architectures, distributed data systems, data modeling, scalability, reliability, performance, data quality, and governance.
• Strong problem-solving, analytical, and collaborative skills, with the ability to derive and challenge business requirements.

Nice to have

• Experience with both AWS and Azure/Fabric, or with Snowflake and GCP.
• Experience with GenAI data systems, RAG pipelines, vector databases, LLM data preparation, or ML platforms.
• Knowledge of CI/CD, Terraform, CloudFormation, Kafka, Spark optimization, causal modeling, experimentation platforms, or large-scale data products.
• Experience in Agile or consulting environments.

Culture & Benefits

• Hybrid work options with 25 vacation days.
• Co-subsidized transportation, Multisport cards, and premium health insurance.
• Training for technical events, courses, and certifications.
• Career development roadmap supported by performance evaluations.
• Psychological consultations, team events, and a comfortable office environment.
• Inclusive culture focused on creativity, diversity, autonomy, and continuous learning.

Hiring process

• Talent Acquisition reviews applications and relevant experience.
• Applications are assessed based on skills, experience, and potential; age, gender, marital status, and headshots are not required.
• Reasonable accommodations are available during the interview process.