Expleo

Technical Data Product Owner

Job Locations
PT-11-Lisbon
Job area
IT & Digital
Employment type
Permanent
Workplace
Hybrid

Overview

Expleo is a trusted partner for your innovation journey. As a global engineering, technology and consulting service provider, we are ideally positioned to help you achieve your ambitions and future-proof your business. With a smart blend of bold thinking and reliable execution, we’re able to fast-track innovation through each step of your value chain.

We are strategically positioned to build value, with a global footprint across 30 countries.
We are as global and local as you need us to be, with strong best-in-class pan-European technological centres and unique best-shoring capabilities.

We leverage a network of high value-adding affiliates in consulting and industrial excellence, and leading partners across multiple sectors to provide you with the most comprehensive services and solutions in an ever-changing environment.

Responsibilities

-Lead requirements elicitation through interviews, workshops, and process analysis.

-Document clear technical and functional requirements using tools such as Jira, Confluence, Notion, and Miro.

-Translate requirements into technical tasks, providing realistic effort and cost estimations (Planning Poker, T-shirt sizing, etc.).

-Collaborate with engineering, data, and QA teams throughout the project lifecycle.

-Monitor data projects KPIs, SLAs, and performance metrics, leveraging dashboards (Power BI, Tableau, Grafana).

-Understand and contribute to modern data pipelines and architecture.

-Actively support data analysis, ETL automation, and predictive modeling with Python.

-Write and optimize complex SQL queries for relational and cloud databases (PostgreSQL, MySQL, BigQuery, Snowflake).

Essential skills

Technical Business Analysis

  • Strong experience gathering and analyzing requirements.

  • Skilled in project monitoring and reporting on data-related KPIs.

  • Ability to document processes and requirements clearly.

Python (Senior Level)

  • Data manipulation with pandas, numpy.

  • Automation and ETL scripting.

  • Predictive model analysis (scikit-learn, statsmodels).

SQL (Senior Level)

  • Advanced queries (joins, CTEs, subqueries).

  • Query optimization and performance analysis.

  • Experience with relational and cloud-based databases.

Tools & Methodologies

  • Jira, Confluence, Notion, Miro.

  • Power BI, Tableau, Grafana.

  • Familiarity with Agile practices.

What do I need before I apply

- Fluent English

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