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Consort Group

Data Analytics Engineer

Consort Group

Data Analytics Engineer responsible for designing and maintaining data pipelines and transforming complex datasets into actionable insights. Join Consort Group to leverage data and infrastructure in a collaborative environment.

Posted 5/22/2026full-timeLisbon • 🇵🇹 PortugalMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
AirflowApacheETLOraclePySparkPythonSQL

About the role

Key responsibilities & impact
  • Design, develop, and maintain data pipelines using Apache Airflow
  • Develop and optimize Python scripts, APIs, and SQL queries for efficient data processing
  • Build and improve ETL workflows for data extraction, transformation, and loading
  • Contribute to data warehouse evolution and data architecture improvements
  • Collaborate with business stakeholders to translate business needs into technical solutions
  • Identify opportunities to automate and optimize data-related processes
  • Monitor, maintain, and improve the stability and performance of data pipelines
  • Analyze datasets to identify trends, anomalies, and opportunities for operational improvement
  • Deliver reliable, accessible, and user-friendly data solutions to end-users
  • Ensure data consistency, quality, and availability across systems
  • Support incident resolution and continuous improvement initiatives
  • Work closely with cross-functional teams in an Agile environment

Requirements

What you’ll need
  • At least 5 years of experience in data engineering, analytics, or data platform environments
  • API development in Python
  • Proficiency in Python, PySpark, SQL and Oracle Database
  • Experience in data warehousing environments
  • Apache Airflow pipeline development
  • Git and Agile methodologies
  • Strong analytical and problem-solving mindset
  • Excellent communication and synthesis skills
  • Adaptability and proactive attitude
  • Client-focused approach

Benefits

Comp & perks
  • A comprehensive HR package: health insurance, TR card, CSE
  • Continuous training opportunities
  • Attentive and human onboarding
  • A truly hands-on management style
  • Concrete commitments: inclusion, equality, solidarity
  • A culture of feedback and meaningful projects

ATS Keywords

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Hard Skills & Tools
PythonSQLApache AirflowETLPySparkOracle DatabaseAPI developmentdata pipelinesdata warehousingdata architecture
Soft Skills
analytical mindsetproblem-solvingcommunication skillsadaptabilityproactive attitudeclient-focusedcollaborationsynthesis skillscontinuous improvementstakeholder engagement