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Salary
≈ $36k – $84k per year (Estimated)
Location
In office (Lisbon, Porto)
Employment
Full-Time

First seen by Alion on Sep 23, 2026.

Overview
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Neotalent Conclusion is a Portuguese technology consultancy that places software and security specialists with clients, including banks in Lisbon. Its openings cover COBOL, C++ and frontend development, AI and security engineering and IT field support in Lisbon and Porto. The company is based in Portugal.

Who are we:

Neotalent Conclusion is one of the leading Iberian specialists providing services in Information Technology and Engineering services. As part of the Netherlands-based organization Conclusion, which has an ecosystem of over 25 companies and 3,600 employees, we are focused on increasing the technological capacity of our clients and the digital transformation of their application ecosystems.

We are talent specialists, attracting the best people and combining them with the needs of the most ambitious projects, at the right time. Our success comes from our investments in innovation, our focus on results, and, above all, the guarantee that our people will have happy and rewarding careers.

With over 25 years of solid experience, Neotalent Conclusion has established its presence in key locations, including Lisbon, Porto, and Madrid. The company currently has more than 950 professionals in the different areas in which it operates.

Neotalent, the responsive people.

Find out more about us at www.neotalentconclusion.com.

 

Role Overview:

We are looking for a Data Visualization Engineer to integrate our teams and support the design, development, and optimization of data-driven solutions. In this role, you will be responsible for transforming complex datasets into meaningful visual insights, ensuring data quality and accessibility while enabling informed business decision-making through impactful dashboards and reporting solutions.

 

What you will do:

  • Collaborate with data analysts, business stakeholders, and technical teams to understand data requirements and visualization objectives;
  • Connect and integrate data visualization platforms with multiple data sources, including databases, APIs, and data lakes;
  • Extract, prepare, transform, and cleanse data from diverse sources, ensuring accuracy, consistency, and integrity;
  • Design, develop, and maintain intuitive dashboards, reports, and visual analytics solutions that provide actionable business insights;
  • Apply best practices in data modelling, visualization design, and data quality management to support effective decision-making;
  • Work closely with stakeholders to continuously improve reporting capabilities and data accessibility across the organisation.

 

What you are like:

  • Bachelor's and/or Master's degree in Computer Science, Information Systems, Data Analytics, or a related field;
  • Proficient in data visualization and business intelligence platforms such as Tableau, Power BI, Qlik, or similar technologies;
  • Experienced in data preparation and transformation tools including Tableau Prep, Power Query, Alteryx, or equivalent solutions;
  • Strong understanding of data extraction, cleansing, transformation, and quality assurance processes;
  • Proficient in SQL and comfortable working with database management systems and structured or semi-structured data formats such as CSV, JSON, and XML;
  • Experienced in integrating visualization tools with multiple data sources, including APIs, databases, and cloud-based data repositories;
  • Capable of translating complex datasets into clear, visually engaging, and business-focused insights;
  • Proficient in SAP Analytics Cloud;
  • Strong analytical mindset, attention to detail, and effective communication skills.

 

Why join us:

  • Work on challenging projects for big clients;
  • Learn more about emerging technologies;
  • Possibility of working remotely;
  • Design your career plan;
  • Access to continuous training and certifications;
  • Evolve through our internal mobility program;
  • … and much more!

 

To apply:

Please send your CV to [email protected] with MSR_DataVisualEng in the email subject.

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