Medior Data Engineer - Customer Success Team @ING Hubs Romania

Discover ING Hubs Romania

Within ING, there is ING Analytics (INGA) - a major driving force in its digital transformation of the bank.

By creating measurable value for ING and its customers through world-class analytics products and services, INGA helps ING to become a leader in data-driven decision-making. Among others, INGA delivers call & speech analytics, generative AI in risk summarization, insights into portfolio performance, advanced ESG data insights (commercial purposes), data analytics platforms (cloud and on-premises), and many more.

Your day-to-day

We are looking for a Data Engineer to join us in Bucharest. In this role, you will be responsible for designing, building, and optimizing complex data pipelines to process transactional and other data. You will collaborate closely with data scientists and analysts in developing and maintaining data solutions and INGA’s data architecture to support the next generation of products and data initiatives.

We are looking for curious and empathetic individuals who are committed to developing themselves and learning new skills. We hire people based on an evaluation of their potential and support them throughout their time in Bucharest. Come join us!

A working day in the life of a Data Engineer

A typical day for a data engineer starts with coffee, catching up with colleagues, and drafting a plan for the coming day. After the standup, you will start exploring the data to solve business problems, building and maintaining the production-ready infrastructure, and building the data pipelines that clean, transform, and aggregate data from disparate sources. Being an advocate for best practices in data engineering is important while working on such tasks. After lunch, you organized a knowledge-sharing session to explain data security, compliance, and privacy standards to the rest of the data engineering team. Finally, to wrap up the day, you collaborated with the data science and analysts' teams to develop data models and pipelines for research, reporting, and machine learning.

What you’ll bring to the team

Minimum Qualifications

• Bachelor's degree or equivalent practical experience.

• Good communication skills, capable of working collaboratively in a semi-remote, globally distributed team.

• Hands-on experience building data pipelines (e.g., PySpark, Airflow).

• Comfortable with Python, SQL and Bash

• Experience designing data models, and using SQL database management systems, along with data processing using traditional and distributed systems.

• Knowledge of software engineering best practices and tools (e.g., CI/CD tools, testing).

• Docker/Kubernetes knowledge

• Knowledge of data manipulation and transformation.

Preferred Qualifications

• Curious mindset; you are collaborative and passionate about helping others to grow and improve.

• Experience with deployment and provisioning automation tools.

• Experience with debugging approaches

If you want to deep dive into the processing of personal data conducted by ING Hubs Romania during the recruitment process and your rights related to it, read the privacy notices on our website (make sure to scroll until you reach the Data Protection section/ Candidates tab).