Analytics Engineers (Data Modeling and Architecture)

Location: Lisbon, Portugal; hybrid

Company

hirify.global is a technology company delivering tailored solutions across Europe in Cloud, Cybersecurity, Data, and Advanced Development.

What you will do

• Model and transform data into consistent analytical structures, semantic layers, and large-scale data models.
• Build and optimize ELT pipelines, automation, quality tests, and monitoring for datasets, SLAs, and performance.
• Document business rules, lineage, and transformation logic.
• Support Data Science, Business Intelligence, and Machine Learning teams with reliable data models and semantic layers.
• Collaborate with Data Engineering, Data Science, Machine Learning Engineering, and Product Ownership stakeholders to deliver integrated solutions.
• Guide junior profiles through mentoring and functional reviews while addressing ambiguous issues and communicating delivery risks.

Requirements

• Degree in Data Science, Computer Science, Analytics, Machine Learning, or a related field.
• English proficiency at B2 level or higher.
• Advanced knowledge of star schema, dimensional modeling, medallion architecture, schema evolution, and semantic layer design.
• Experience optimizing large-scale data models for performance, consistency, and governance.
• Experience with ETL/ELT orchestration tools such as Azure Data Factory, Apache Airflow, Microsoft Fabric, or Databricks Workflows.
• Strong SQL skills, including query tuning, partitioning, clustering, and scalable processing of large data volumes.
• Expertise in PySpark, Spark SQL, and structured Python transformations.
• Experience with CI/CD pipelines, version control, and DevOps practices for data pipelines.
• Experience with data validation, rule definition, monitoring, observability, governance, cataloging, and lineage tools such as Microsoft Purview or Unity Catalog.
• Advanced Power BI semantic modeling and DAX optimization.
• Hands-on experience with cloud data platforms including BigQuery, Snowflake, Synapse, Delta Lake, ADLS, or Redshift, with understanding of system interdependencies.
• Ability to translate business, BI, Data Science, and Data Engineering needs into actionable technical requirements, plan workloads, adapt to changing priorities, identify root causes, and propose scalable solutions.

Culture & Benefits

• Professional, dynamic, and collaborative workplace culture.
• hirify.global operates across Portugal, Belgium, Luxembourg, and Denmark, with international projects.
• Remote work opportunities are available, while this role is listed as hybrid in Lisbon.
• Tech Visa support is available for candidates outside the European Union.
• Health and life insurance may be provided.