Data Engineer: NiFi Pipelines, Hybrid Lisbon, Growth

Closer Consulting; Lisboa; Hybrid; EUR 50,000 - 70,000; Full time

Benefits offered by this job

Home office kit

Career plan

Training plan

World-class clients and partners

Challenging projects

Job summary

Closer Consulting is seeking a Data Engineer specialized in Apache NiFi to join a hybrid team in Lisbon. You will design and implement robust data pipelines, collaborate with stakeholders across multiple industries, and mentor junior teammates in a fast-paced analytics environment.

The role emphasizes end-to-end data engineering, CI/CD for data artifacts, and opportunities to work with BI tools and advanced analytics. English proficiency is mandatory in a client-facing setting.

Qualifications

• 5 to 7 years of experience in Data Engineering.
• Strong proficiency in SQL, Python and/or PySpark, and Apache NiFi.
• Experience designing robust data pipelines and data models.
• Full professional proficiency in English.
• Client-facing mindset with ability to mentor junior team members.
• Nice to have: Alteryx, Talend or similar ETL tools.
• Nice to have: Dataiku, BI tools (Power BI, Tableau), SAS; Agile/JIRA familiarity.

Responsibilities

• Design and implement robust data pipelines and data models.
• Collaborate with stakeholders across industries to deliver analytics solutions.
• Mentor junior team members and promote best practices.
• Contribute to CI/CD workflows for end-to-end data artifact releases.
• Support BI and analytics initiatives using NiFi-based data flows.

Skills

SQL

Python

PySpark

Apache NiFi

Data pipelines

CI/CD for data

English

Mentoring

Data modeling

Tools

Alteryx

Talend

Dataiku

Power BI

Tableau

SAS

JIRA

Job description

Closer Consulting is seeking a Data Engineer specialized in Apache NiFi to join a hybrid team in Lisbon. You will design and implement robust data pipelines, collaborate with stakeholders across multiple industries, and mentor junior teammates in a fast-paced analytics environment.

The role emphasizes end-to-end data engineering, CI/CD for data artifacts, and opportunities to work with BI tools and advanced analytics. English proficiency is mandatory in a client-facing setting.