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Mid-Level Power BI and Dataiku Data Engineer – Analytics and AI Integration

Porto
Hybrid

3 780 - 4 410

EUR

(B2B)

2 050 - 2 300

EUR

líq. (Permanent Contract)

Dataiku DAX Power BI Python SQL
English
Mid-Level
Banking
Data Engineer

Unleash the Power of Data & AI — Drive Business Transformation with Cutting-Edge BI and Data Science

Porto-based opportunity with hybrid work model (up to 3 days remote per week).

As a Mid-Level Power BI and Dataiku Data Engineer, you will be working for our client, a leader in data-driven innovation and AI integration. You will help transform complex data into actionable insights, supporting advanced analytics and Generative AI initiatives that propel the business forward. This role offers a unique opportunity to shape impactful data solutions and advance your career in a dynamic industry.

Your main responsibilities:

  • Design, develop, and maintain interactive Power BI dashboards and reports tailored to business requirements.
  • Build efficient data models in Power BI, adhering to best practices for measures, KPIs, and data storytelling.
  • Perform data preparation and feature engineering using Dataiku’s visual recipes and code-based workflows.
  • Collaborate with Data Engineers to ensure datasets are clean, reliable, and analytics-ready.
  • Contribute to data science workflows within Dataiku, including exploratory data analysis and model testing.
  • Support Generative AI use cases, such as prompt-based analytics, LLM integrations, and AI-assisted insights.
  • Ensure data quality, consistency, and usability across reporting and analytical assets.
  • Participate in documentation, knowledge sharing, and adherence to best practices within the team.

You’re ideal for this role if you have:

  • 3–6 years of experience in BI, Analytics, or Data-related roles.
  • Hands-on expertise with Power BI, including data modeling, DAX, and visualization principles.
  • Proven experience working with Dataiku for data preparation and analytics workflows.
  • Strong understanding of data visualization principles and storytelling.
  • Experience in preparing datasets for analytics or machine learning applications.
  • Basic to intermediate knowledge of data science concepts such as statistics and ML fundamentals.
  • Familiarity with Python and/or SQL.
  • Fluent in English, both written and spoken.

It is a strong plus if you have:

  • Experience building or supporting machine learning models within Dataiku.
  • Exposure to Generative AI or LLM-based use cases, such as embeddings or prompt engineering.
  • Experience with cloud data platforms.
  • Understanding of data governance and model lifecycle management.

Eligibility to work in Europe:
Only candidates with an existing legal right to work in the European Union will be considered for this role.

#MAKEYourCareerBETTER

Interested? Apply now and include your CV (preferably in English) along with a statement confirming your consent to the processing and storage of your personal data.

Internal number #9587

Benefits

ITDS Clubs

Access to medical insurance

Meal Card

Access to Pluralsight & Udemy

Integrational Events

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