Data Developer at Inetum

Bucharest, , Romania -

Full Time

Start Date

Immediate

Expiry Date

08 Jan, 26

Salary

0.0

Posted On

10 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Modelling, SQL, PL/SQL, ETL Processes, Python, PySpark, Data Profiling, Data Visualization, Database Design, Performance Tuning, Agile, Analytical Skills, Problem-Solving, Communication, Teamwork, Interpersonal Skills

Industry

IT Services and IT Consulting

Description

Company Description 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 www.inetum.com Job Description Collaborates with business stakeholders and IT application owners to understand, document, and design data warehouse processes. Contributes to the definition, development, and implementation of data warehouse solutions. Creates and maintains data mapping logic to transfer content from various source systems into the data warehouse. Designs, develops, tests, optimizes, and deploys ODI packages, Oracle stored procedures/packages, Databricks jobs to perform ETL functions. Plans and coordinates ETL and database rollouts alongside project teams, developers, and database engineers. Provides support, maintenance, troubleshooting, and resolution for ETL processes. Designs and establishes technical frameworks for the data warehouse. Qualifications Experience in Data Modelling and Source System Analysis. Expert in SQL and PL/SQL. Experienced with ETL processes and tools such as ODI or other ETL technologies, as well as working with large-scale databases. Skilled in Python for data engineering purposes. Familiar with PySpark. Capable of performing data profiling, cataloging, and mapping for the design and construction of data flows. Experience with data visualization and exploration tools. Solid understanding of data warehouse concepts. Skilled in database design, modelling, and analyzing large datasets. Exposure to diverse configurations, technologies, and processing environments. Proficient in advanced performance tuning techniques for complex data transformations. Experience within the banking sector is advantageous. Fast learner, able to master the functionalities and applications of new technologies. Familiarity with Agile–Scrum methodology is a plus. Proficient in English. Soft Skills Strong analytical and problem-solving abilities, with the capacity to translate business needs into actionable data-driven solutions. Excellent communicator, able to convey complex concepts clearly to both technical and non-technical audiences. Effective team player with strong interpersonal and collaborative skills. Able to manage multiple tasks simultaneously and deliver quality results within deadlines. 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 The working mode is hybrid: 2 days/week in the office.

Responsibilities

The Data Developer collaborates with business stakeholders and IT application owners to design and implement data warehouse processes. They are responsible for creating data mapping logic and optimizing ETL functions.