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Tableau Data Engineer

Inetum inetum.com Open · verified Oct 24, 2026
On-site Porto Full-time Mid-level Data Engineering

At a glance

Mid-level Data Engineering role at Inetum. Porto · full-time.

Pay not stated Data Engineer salary

RoleData Engineering
SeniorityMid-level
LocationPorto
WorkplaceOn-site
EmploymentFull-time
PostedNov 18, 2025 · 11mo ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build and maintain data pipelines and models that prepare information for Tableau analytics and reporting
  • Develop Tableau dashboards and reports, checking data quality and shaping analysis around stakeholder needs
  • Help the project manager with Tableau Server and Desktop topics, and guide design and production teams through implementation
  • Configure Tableau in test environments, handle Server upgrades, and support developers with technical issues
  • Coach business teams on using Tableau solutions and applying sound practices

What you bring

  • Three to five years of professional data engineering experience
  • Working knowledge of ETL processes, plus strong SQL and Python skills
  • Proficiency in Tableau and fluency in English

Who this fits

This Porto-based role is onsite and suits a mid-level data engineer who works across Tableau infrastructure, reporting and business support. French is a plus.

From the employer

Inetum is a European leader in digital services. Inetum’s team of 28,000 consultants and specialists strive every day to make a digital impact for businesses, public sector entities and society. Inetum’s solutions aim at contributing to its clients’ performance and innovation as well as the common good.

Present in 19 countries with a dense network of sites, Inetum partners with major software publishers to meet the challenges of digital transformation with proximity and flexibility.

Driven by its ambition for growth and scale, Inetum generated sales of 2.5 billion euros in 2023.

This client is the top bank in the European Union and a major international banking establishment, strongly positioned in its three key operating divisions - Corporate & Institutional Banking, Commercial, Personal Banking & Services and Investment & Protection Services - and present worldwide with 184.000 employees across 64 locations.

Established in Portugal since 1985, with a presence in Lisbon and Porto and more than 8.000 employees, the company is the leading European bank in the country for corporate, institutional and private clients.

Main Tasks:

  • A RDS Tableau data engineer is responsible for designing, building and maintaining the data infrastructure that supports Tableau-based analytics and reporting.
  • This includes integrating data from various sources, transforming it into usable formats and creating efficient data models for analysis.
  • It also plays a key role in developing and maintaining Tableau dashboards and reports, ensuring data accuracy and collaborating with stakeholders to deliver data-driven insights.
  • Work closely with business stakeholders to understand their data needs and reporting requirements.
  • Support the project manager on all Tableau Server and Tableau Desktop related subjects.
  • Follow-up of both design and production teams on the tool’s implementation.
  • Provide technical support to the development team.
  • Configuration of the solution on non-production environments.
  • Regular upgrade of Tableau Server version.
  • Support the business lines on the handling of Tableau solutions and implementation of best practices.
  • Development of new Tableau reports, as required (platform monitoring, for example).

Technical Skills:

  • Relevant professional experience as a data engineer is mandatory (3 - 5 years).
  • Knowledge of ETL (Extract, Transform and Load) data integration process is mandatory.
  • Proficiency in SQL is mandatory.
  • Proficiency in Python is mandatory.
  • Proficiency in Tableau is mandatory.

Language Skills:

  • Fluent in English
  • French is a plus
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Engineering

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.