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Data Engineer (Dataiku Expert)

Reads like an Analyst role: dashboards and reporting.

Lisbon, Lisbon, Portugal

Pay
Pay not listed
Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting
Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
Apply at Inetum

What you’ll work on

Full posting
  • Develop, maintain, and optimize data workflows using Dataiku.

  • Design and automate data integration, transformation, and analytics processes.

  • Create dashboards and reporting solutions using Power BI.

From the employer’s posting
Key Responsibilities: Develop, maintain, and optimize data workflows using Dataiku. Design and automate data integration, transformation, and analytics processes.
Develop, maintain, and optimize data workflows using Dataiku. Design and automate data integration, transformation, and analytics processes. Create dashboards and reporting solutions using Power BI.
Design and automate data integration, transformation, and analytics processes. Create dashboards and reporting solutions using Power BI. Develop and optimize data models and queries using SQL.

What you’ll bring

All qualifications

Core experience

  • Strong knowledge of SQL for data manipulation, analysis, and optimization.
  • Excellent communication and collaboration skills.
  • Experience with Python for automation, data processing, and analytics.
  • Knowledge of Power BI for dashboard development and reporting.
  • Experience in Data Analytics, Data Preparation, Data Quality, and/or Business Intelligence projects.
  • Ability to work independently in the implementation, maintenance, and optimization of data solutions.
Qualification wording
Strong knowledge of SQL for data manipulation, analysis, and optimization.
Excellent communication and collaboration skills.
Experience with Python for automation, data processing, and analytics.
Knowledge of Power BI for dashboard development and reporting.
Experience in Data Analytics, Data Preparation, Data Quality, and/or Business Intelligence projects.
Ability to work independently in the implementation, maintenance, and optimization of data solutions.

Tools in this posting

  • Python
  • SQL
  • Power BI
Source — Tool mentions in context
- Develop and optimize data models and queries using SQL. - Build data processing and automation solutions using Python. - Collaborate with cross-functional teams to understand business needs and translate them into technical solutions.
- Strong knowledge of SQL for data manipulation, analysis, and optimization. - Experience with Python for automation, data processing, and analytics. - Knowledge of Power BI for dashboard development and reporting.
- Create dashboards and reporting solutions using Power BI. - Develop and optimize data models and queries using SQL. - Build data processing and automation solutions using Python.
- Mandatory and proven experience with Dataiku at Expert Level. - Strong knowledge of SQL for data manipulation, analysis, and optimization. - Experience with Python for automation, data processing, and analytics.
- Design and automate data integration, transformation, and analytics processes. - Create dashboards and reporting solutions using Power BI. - Develop and optimize data models and queries using SQL.
- Experience with Python for automation, data processing, and analytics. - Knowledge of Power BI for dashboard development and reporting. - Experience in Data Analytics, Data Preparation, Data Quality, and/or Business Intelligence projects.

Posting record

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Actively hiringFirst seen by us 9 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Oct 21, 2026 · 9 days ago
Recorded sightings
121
Last seen by us
Oct 30, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

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Job description

View original posting ↗

Job Description

We are looking for an Data Engineer (Expert Dataiku) professional to join data transformation and analytics projects, contributing to the development of robust and scalable data solutions. We are seeking a highly autonomous profile with strong analytical capabilities and solid experience in data-driven environments.

Key Responsibilities:

  • Develop, maintain, and optimize data workflows using Dataiku.
  • Design and automate data integration, transformation, and analytics processes.
  • Create dashboards and reporting solutions using Power BI.
  • Develop and optimize data models and queries using SQL.
  • Build data processing and automation solutions using Python.
  • Collaborate with cross-functional teams to understand business needs and translate them into technical solutions.
  • Ensure data quality, consistency, and accessibility throughout the entire data lifecycle.

Qualifications

Desired Profile:

  • Mandatory and proven experience with Dataiku at Expert Level.
  • Strong knowledge of SQL for data manipulation, analysis, and optimization.
  • Experience with Python for automation, data processing, and analytics.
  • Knowledge of Power BI for dashboard development and reporting.
  • Experience in Data Analytics, Data Preparation, Data Quality, and/or Business Intelligence projects.
  • Ability to work independently in the implementation, maintenance, and optimization of data solutions.

Languages:

  • English (C1) is mandatory.
  • French is a plus.

Soft Skills:

  • Strong analytical and problem-solving mindset.
  • High level of autonomy and accountability.
  • Excellent communication and collaboration skills.
  • Proactive attitude with a results-oriented approach.
  • Adaptability and ability to thrive in dynamic environments.

Additional Information

  • Workplace type: Hybrid (50% onsite, 50% remote).
  • Location: Parque das Nações, Lisboa.

Company Description

Inetum is a European leader in digital services, supporting organizations as they navigate continuous technological change. The company helps clients accelerate their digital transformation through a broad portfolio that includes consulting, application services, digital engineering, cloud, cybersecurity, platforms, and infrastructure services

Source details

View original posting ↗

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Pay

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Location & working pattern

Lisbon, Lisbon, Portugal

Additional Information - Workplace type: Hybrid (50% onsite, 50% remote). - Location: Parque das Nações, Lisboa.
Work authorization

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