Data Developer

1 week ago

Bucharest, Bucureşti, Romania Inetum Full time €40,000 - €80,000 per year
Company Description

Organization

Our Mission Statement

Digital and human resources at the center of the sustainable development of our society.

In a world of continuous transformation, accelerated by technological developments and societal challenges, it is necessary to adapt in an ongoing, agile way to meet the challenges of the future.

About Inetum

Inetum is a European leader in digital services. Inetum's team of 27,000 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 2.4 billion euros in 2024.

For further information, please visit  

Job Description

We are looking for a Python & PySpark Developer with strong data engineering skills and experience in building and maintaining ETL pipelines. The ideal candidate will be responsible for developing data pipelines, transforming large datasets, and delivering actionable insights through interactive dashboards.

Responsibilities

  • Identify and select relevant data sources to be ingested into the data lake based on business and analytical needs;
  • Design and manage the structure and organization of data within the data lake to ensure accessibility, scalability, and performance;
  • Develop and maintain ETL pipelines using PySpark for data cleaning, transformation, and integration across multiple sources;
  • Implement ETL configuration elements such as data formatting, deduplication, volumetric analysis, and enrichment, ensuring comprehensive documentation is maintained;
  • Contribute to the definition and design of new use cases by identifying relevant data, transforming it, and preparing it for analysis;
  • Develop and maintain interactive dashboards that visualize key metrics and insights derived from processed data;
  • Monitor and troubleshoot data workflows to ensure reliability and accuracy in production environments;
  • Document pipeline logic, data sources, and transformation rules for transparency and maintainability.
Qualifications
  • Proficiency in Python and PySpark for data processing;
  • Strong SQL skills and experience with relational databases;
  • Experience with dashboarding tools will be a plus (e.g., Power BI, Tableau...);
  • Familiarity with data warehousing (Cloudera);
  • Understanding of data modeling, data lakes, and data governance;
  • Bachelor's or Master's degree in Computer Science, Data Science, or related field;
  • Fluent English is a must; French will be a plus, but not mandatory;
  • Knowledge of business intelligence and data storytelling principles.
Additional Information

Benefits

  • Full access to foreign language learning platform
  • Personalized access to tech learning platforms
  • Tailored workshops and trainings to sustain your growth
  • Medical insurance
  • Meal tickets
  • Monthly budget to allocate on flexible benefit platform
  • Access to 7 Card services
  • Wellbeing activities and gatherings

Working model: hybrid - 2/3 days at the office

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