NiFi Data Engineer - Hybrid (Lisbon)

Consort

Lisboa

Hybrid

EUR 38,000 - 52,000

Full time

6 days ago
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Benefits offered by this job

Health insurance
TR card
CSE

Job summary

Consort Group in Lisbon is seeking a dedicated Data Engineer to design and maintain high-performance data pipelines for financial and risk reporting. You will implement NiFi workflows, build ETL/ELT processes, and collaborate with BI teams to deliver reliable insights.

You have 5–7 years in data engineering, strong SQL and Python skills, and experience with data warehouses. The role is hybrid, based in Portugal, offering growth and hands-on learning opportunities.

Qualifications

  • 5–7 years of professional data engineering experience.
  • Strong data integration and ETL/ELT expertise.
  • Experience with data warehouses and data modelling.
  • Proficient in NiFi, SQL, Python and/or PySpark.
  • Familiar with BI tools such as Dataiku, SAS, Power BI or Tableau.
  • Knowledge of Agile methodologies and Jira is a plus.

Responsibilities

  • Design and develop high-performance ETL/ELT pipelines.
  • Implement data integration workflows using NiFi and related tech.
  • Develop data processing solutions with SQL, Python and/or PySpark.
  • Design data models and schemas for BI needs.
  • Implement CI/CD pipelines for end-to-end releases.
  • Collaborate with stakeholders to translate requirements.
  • Maintain and evolve existing pipelines and integration processes.
  • Provide guidance and coaching to team members.

Skills

Apache NiFi
SQL
Python
PySpark
ETL/ELT
Data modelling
Data warehousing
CI/CD
BI concepts

Tools

Apache NiFi
Alteryx
Talend
Dataiku
Power BI
Tableau
Jira

Job description

Consort Group in Lisbon is seeking a dedicated Data Engineer to design and maintain high-performance data pipelines for financial and risk reporting. You will implement NiFi workflows, build ETL/ELT processes, and collaborate with BI teams to deliver reliable insights.

You have 5–7 years in data engineering, strong SQL and Python skills, and experience with data warehouses. The role is hybrid, based in Portugal, offering growth and hands-on learning opportunities.

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