Chapter Lead Data Engineering - Analytics Engineering CoE @ING Hubs Romania

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

The Analytics Engineering CoE aims to leverage analytics for ING, providing  software and data engineers to ING Analytics as part of their tribes and squads. Working in a Big-data environment, together with data governance and security, is to be sure that we're building scalable solutions.

We seek an enthusiastic Chapter Lead with a passion for data, technologies, and people!

Your passion is to work with the latest and greatest technologies that make working with large amounts of data easy, you’re pro-active in keeping yourself up to date and are always searching for new ways to discover new technologies. You also enjoy laying the strategic foundations for the things we’re working on and stepping up as a leader. You combine both thinking of the future and a hands on, right now attitude. You will work in a team with highly skilled people and enjoy a creative atmosphere where trying things out is encouraged.

Your Day-to-Day:

 People & Management at least 70%

• Participate in the recruitment of new talents
• Provide continuous coaching and mentoring by clarifying job responsibilities, setting performance expectations through the establishment of goals and job competencies, identifying skill gaps, creating development plans and evaluating performance
• People management of highly talented data and software engineers
• Balance effectively independence and acting in the interest of the team
• Collaborate closely with data analysts, data scientists and business colleagues as well as leadership across the organization
• Taking on strategic and management topics as part of a global team
• Support and actively participate in craftmanship on global scale

Data Engineering up to 30%

• Knowledge of data manipulation and transformation, e.g. SQL
• Hands-on experience building complex data pipelines e.g. ETL
• Hands-on experience managing and further developing distributed systems and clusters for both batch as well as streaming data (S3/Spark and/or Kafka/Flink)
• Programming in scripting languages, e.g. Python (70%)
• Programming in a statically typed language, e.g. Scala (30%)
• Experience in setting up both SQL as well as noSQL databases
• Deployment and provisioning automation tools e.g. Docker, Kubernetes, Openshift, CI/CD
• Bash scripting and Linux systems administration
• Security, authentication and authorisation (LDAP / Kerberos / PAM)
• Affinity with Advanced Analytics, Data Science
• Other programming languages: scripting (Ruby, Groovy) or statically typed languages (Java, C++, Go)

We work in a hybrid mode and occasional travelling to Amsterdam will be required.

What you bring to the team:

Experience: You have at least 6 years of (global) work experience in the Data Engineering space (methods, technology, data), experience in leading a team or product/project is beneficial.

Tech stack/ knowledge / softskills:

• Execution: Docker / Kubernetes / Openshift
• Processing: Apache Spark, Apache Flink, Apache Airflow
• Storage: Ceph (S3), Apache Kafka, PostgreSQL, Apache Cassandra (and other noSQL DBs), Apache Avro, Apache Parquet
• Programming: Python, Scala
• Data Security and Lineage: Apache Atlas,Apache Ranger
• Excellent communication skills, both verbally and in writing, to be able to align with various stakeholders on various levels
• Empathy and the ability to deal with conflicts
• Open, creative and solution + customer oriented mind set
• Up to date with the latest industry standards and trends in the area of analytics
• Understanding of Agile – Scrum methodology is considered a plus

Foreign languages: English (advanced)

Education: BSC degree in Engineering, Computer Science, Information Management 

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