Senior Data Engineer (AI/Data Platforms)

Location: Portugal — 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 cloud-based data platforms and scalable batch, streaming, and near-real-time pipelines.
• Develop lakehouse architectures, medallion layers, ingestion workflows, transformations, and curated datasets for structured and unstructured data.
• Enable analytics, machine learning, causal modeling, optimization, and GenAI use cases including LLM, RAG, vector, and agent-based systems.
• Design data models and orchestrate reliable workflows using tools such as Airflow, dbt, Databricks Workflows, and Azure Data Factory.
• Implement governance, lineage, quality, access control, monitoring, observability, and SLA management across the data ecosystem.
• Collaborate with data scientists, ML engineers, analysts, platform teams, and business stakeholders to define and deliver production-grade data solutions.

Requirements

• Senior-level hands-on experience building production-grade data platforms and batch and streaming pipelines.
• Strong experience with Apache Spark, Delta Lake, Python, and SQL.
• Deep expertise in at least one core track: AWS data services with Databricks, or Microsoft 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 skills, curiosity, detailed analysis, and the ability to derive and challenge business requirements.
• Collaborative experience working with cross-functional data, AI, and business teams.

Nice to have

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

Culture & Benefits

• Remote and hybrid work options depending on the country.
• International mobility and professional development programs.
• Access to training, modern tools, and industry experts.
• Inclusive culture supporting creativity, diversity, autonomy, and continuous growth.

Hiring process

• The Talent Acquisition team reviews applications and relevant experience.
• Applications are assessed based on skills, experience, and potential.
• Reasonable interview accommodations are available on request.