Data Developer

20 years on the Romanian IT market and still growing.

Part of the HN Services Group, with offices in France, Spain, Portugal, and Luxembourg, HN Services Romania is about building real careers, not just filling roles.

What you’ll find here:

Digital transformation projects with real impact

A wide range of technical roles across modern and legacy technologies (yes, COBOL is still very much alive)

Exposure to diverse industries and international environments

Continuous growth through our in-house software development training center (HN Training Institute)

💡We are currently looking for experienced professionals to deliver high-quality, stable, and resilient software solutions.

🔍 RESPONSIBILITIES

• 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.

🛠️REQUIREMENTS

• 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.

📍 Location & Setup

Banking project

Hybrid model: 2x/week onsite in Bucharest

Only eligible candidates will be contacted for further information and start of the recruitment process.