Hybrid Analytics Engineer in Lisbon: Data, Snowflake & AWS

Match Profiler

Lisboa

Hybrid

EUR 48,000 - 72,000

Full time

21 hours ago
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Benefits offered by this job

Hybrid work model
Discount network for health, wellness,
Social events and team-building

Job summary

Match Profiler is expanding its Analytics Engineering team in Lisbon to build robust data architectures and analytics solutions for clients. The role focuses on SQL, data modeling, and ETL design within a hybrid Lisbon environment.

You will work with Snowflake, dbt, Airflow, and cloud-based data stacks, translating complex concepts for stakeholders. You will leverage Python or R for analysis, participate in CI/CD practices, and communicate clearly in English.

Qualifications

  • Proficiency in SQL, data modeling, and designing ETL workflows.
  • Expertise in Snowflake.
  • In-depth knowledge of modeling data with dbt.
  • Experience with cloud-based data architectures (preferably AWS).
  • Programming languages such as Python or R for data analysis and scripting.
  • Hands-on experience developing robust data architectures to support analytics and BI.
  • Proficiency with version control and CI/CD tools (GitHub/GitLab).
  • Excellent communication skills with strong English proficiency.
  • Experience with Power BI for data visualization.
  • Familiarity with orchestration tools like Apache Airflow.
  • Familiarity with Agile or Scrum methodologies.
  • Experience with AI/ML tools and techniques for data analysis and predictive modeling.

Skills

SQL
Data modeling
ETL design
Snowflake
dbt
AWS
Python
CI/CD (GitHub/GitLab)
Power BI
Apache Airflow
Agile/Scrum
English communication
Data architectures
ML basics

Tools

GitHub
GitLab
Apache Airflow
Power BI

Job description

Match Profiler is expanding its Analytics Engineering team in Lisbon to build robust data architectures and analytics solutions for clients. The role focuses on SQL, data modeling, and ETL design within a hybrid Lisbon environment.

You will work with Snowflake, dbt, Airflow, and cloud-based data stacks, translating complex concepts for stakeholders. You will leverage Python or R for analysis, participate in CI/CD practices, and communicate clearly in English.

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