Medior Data Engineer - Customer Success Team @ING Hubs Romania
Bucharest - Dacia One
Discover ING Hubs Romania
ING Hubs Romania offers 130 services in software development, data management, non-financial risk & compliance, audit, and retail operations to 24 ING units worldwide, with the help of over 1700 high-performing engineers, risk, and operations professionals.
We started out in 2015 as ING’s software development hub – a distinct entity from ING Bank Romania – then steadily expanded our range to include more services and competencies.
Now we provide borderless services with bank-wide capabilities and operate from two locations: Bucharest and Cluj-Napoca.
Our tech capabilities remain the core of our business, with more than 1500 colleagues active in Data Management, Touchpoint Channels & Integration, Core Banking, and Global Products.
We enjoy a flexible way of working and a highly collaborative environment, where fair and constructive feedback is encouraged.
For us, impact isn't a perk. It's the driver of our work.
We are guided and rewarded by a shared desire to make the world a better place, one innovative solution at a time. Our colleagues make it their job to do impactful things and they love doing it in good company. Do you?
The Mission
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).
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Architecture Banking CI/CD Data Analytics Data management Data pipelines Distributed Systems Docker Engineering Generative AI Kubernetes Machine Learning Pipelines Privacy PySpark Python Research Security SQL Testing
Perks/benefits: Career development Flex hours Startup environment
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