
Senior Data Engineer | Transactions @ING Hubs Romania
at ING Bank
Posted 7 hours ago
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- Compensation
- Not specified
- City
- Bucharest
- Country
- Romania
Currency: Not specified
We are seeking a data engineer to design and build data pipelines to process transaction data for ING Hubs Romania's Transaction Services Analytics squad within Wholesale Banking Advanced Analytics. You will collaborate with data analysts, data scientists, and UX designers to turn scattered data into actionable insights to improve business performance and support better decision making. The product is strategic and data accuracy is key to sustaining credibility; you'll work with DBT, Airflow, Spark, Python/SQL, and contribute to deploying scalable data solutions. This role offers exposure to modern data engineering tooling and a fast-paced, international environment.
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 2000 high-performing engineers, risk, and operations professionals.
We started out in 2015 as ING’s software development hub, 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 1800 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
You will work as anengineeronourTransaction Services(TS)Analyticssquadwithin the INGWholesale Banking Advanced AnalyticsGlobalTribe.The projectempowers ourstakeholdersin Wholesale BankTS business unit to translate scattered datainto easy-to-use actionable insights with the aim to improve business performancesand make better decisions. You will be part of the squad consisting of the data analysts, engineers, and project manager.
Your day to day
Your passion is to work with the latest and greatest technologies in the field of Data Engineering.As an engineer, you will be responsible todesign and build the data pipelinesto process thetransactionsdata,collaboratewiththedata analysts, datascientistsandUX designers to create the best user experienceand insightsfor our stakeholders.The product is new in ING, and it is one of the most strategic topics at this stage in ING. Data accuracy is key to sustain our credibility. Your responsabilities will include:
Developing and maintaining data pipelines.
Supporting ongoing strategic initiatives to move data transformations to DBT.
Development of new features like user alerting.
Collaborating with analysts, scientists, product manager, and other engineers.
What you’ll bring to the team
Must have:
Hands-on experience building complex datapipelines
Knowledge of data manipulation and transformation
Experience withDBT,Apache Airflow,ApacheSpark
Proficient in Python and SQL
Knowledge of software engineering best practices
Deployment and provisioning automation tools (e.g.,Docker, Kubernetes, CI/CD)
Nice to have:
Hands-on experience managing and further developing distributed systems and clusters for both batch as well as streaming data (S3and/or Kafka/Flink)
Experience in setting upandoptimizingboth SQL as well asnoSQLdatabases
Experience with monitoring and observability (ELK stack)
Experience working in cloud environment (e.g.,Azure DevOps,GCP[BigQuery])
System design and architecture
Knowledge ofMLOpsarchitecture and practices
Agileway of working
Experience in stakeholders' management
Comfortable working in the international environment
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