Data Management Expert | Analytics Retail Banking @ Bank

Discover ING Bank Romania

ING believes in a world where everyone has the right to grow and progress in their own way. We express this in our global tagline, “do your thing”. Perhaps more than in any other large company, we extend our belief in the power of autonomy to our own people. But there’s a catch. In return for great freedom, we expect people to do great things for our customers, our stakeholders, and ING at large.

To work here is to be surrounded by people who are energetic, ambitious, friendly and respectful: talented specialists who take the responsibility and autonomy to make great things happen. We stay curious, thrive on change, and seek new and better ways to make it happen. Active in Romania for more than 30 years, ING Bank pioneered and challenged the local banking industry.

Technology and innovation are at the core of what we do, making our products relevant for our customers’ lives and businesses.

ING Bank Romania is the only bank with an organic growth within the top 10 local banks by assets, without acquisitions of client portfolios or other banks. ING Bank Romania is an universal bank with more than 1.8 million customers from three business segments: individuals (retail), SME and Mid-Corporate companies and Wholesale Banking.

Join us!

Do you have a curious mind and a drive to turn data into meaningful results?

Are you always seeking new challenges and energized by designing and managing data flows for business operations?

Do you enjoy working with databases, operating systems, and network technologies to create reliable solutions?

If you answered YES, you’re just like us! Join our team as a Data Engineer.

This role lets you use your skills and curiosity to develop and manage solutions that ensure the flow, migration, and availability of data for business needs. Your technical expertise and ability to find automated solutions to technical challenges will make you an essential member of the team, always connected to the latest technologies.

As a Data Engineer in an Agile environment, you’ll be part of the Analytics Center of Expertise within the Customer Interactions Tribe. You’ll focus on:

• Evaluating data sources, flows, and tools to spot gaps and recommending the best solutions for Data Analysts and Data Scientists
• Analyzing and optimizing databases and processes, including developing scripts for maintenance, monitoring, and performance tuning
• Applying your expertise in database design, administration, and optimization to keep data accurate and performing well
• Using your knowledge of operating systems (Windows and/or Linux) for automation, maintenance, and troubleshooting
• Leveraging networking skills to ensure secure, reliable, and efficient data flows between systems and platforms
• Working with complex data elements, systems, and dependencies to help shape data models
• Creating reusable scripts, flows, and methodologies for faster, more reliable analytics and campaign delivery
• Documenting all flows and processes to maintain high quality standards
• Managing recurring data processing flows and ensuring they meet quality requirements
• Recommending technical improvements to enhance application software and infrastructure
• Acting as a key contact for IT partners to ensure system resilience and compliance
• Developing and maintaining data privacy and security policies, always upholding ethical standards

• 3-5 years of experience as a Data Engineer;
• Hands‑on skills with object‑oriented and scripting languages like Python, Java, C++, or Scala;
• Solid background in data analysis tools (SAS, SQL) and BI platforms;
• Experience delivering Machine Learning projects using Spark, Pandas, and No
  
  SQL;
• Bachelor’s degree in information technology, Computer Science, Cybernetics, Automatic Control & Computers, or a closely related IT field;
• Strong knowledge of databases—design, administration, and optimization;
• Familiarity with operating systems (Windows and/or Linux), including automation and troubleshooting;
• Understanding of networking concepts to ensure secure and efficient data flows;
• Data‑driven mindset and digital fluency;
• Clear, concise communication across teams;
• Ability to…