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

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The Mission

Data Analytics Platform’s aim is to leverage analytics for ING, providing a multi-tenant hybrid platform, combining cutting-edge technologies on both private cloud/on-prem and GCP. 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 architectural foundations for the things you’re working on. 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 40%

• 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 engineers

• Balance effectively independence and acting in the interest of the team

• Collaborate closely with data analysts, data scientists and business colleagues across the organization

Besides great people skills, the Chapter Lead that we are looking for should match one of the following technical profiles (60% individual technical contribution alongside the team members):

1. Chapter Lead Data Engineer

What you bring to the team:

• You have at least 5 years of (global) work experience in the Data (software) Engineering horizons (methods, technology, data)

• You have a proven track-record of developing, coaching and mentoring people from different technological backgrounds.

• You have experience and love leading teams to drive results and interact with (senior level) stakeholders

• You can explain complicated subjects clearly

• You are friendly and approachable and can challenge data engineers

• You are motivated to keep up to date with the latest developments and to introduce them to the team and projects where applicable

• You can see where ING can create steps towards becoming a truly data-driven bank.

• You are always thinking one step ahead, for example in advising about the best way of implementation.

• You are a team player who strikes effective balance between independence and acting in the interest of the team

Required:

• 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 (Spark)

• Programming in scripting languages, e.g. Python

• Experience in setting up both SQL as well as noSQL databases

• Deployment and provisioning automation tools e.g. Docker, Kubernetes, CI/CD

• Bash scripting and Linux systems administration

• Affinity with Advanced Analytics, Data Science

Nice to have:

• Programming in a statically typed language, e.g. Java/Scala, Kotlin, Golang

• Hands-on experience managing and further developing distributed systems and clusters for both batch as well as streaming data (S3 and/or Kafka/Flink)

• Security, authentication and authorisation (LDAP / Kerberos / PAM)

• Being a committer to Open-Source projects is a strong plus;

• Experience with building distributed large scale and secure applications

• Knowledge of machine learning, or at least strong affinity with it;

• Good understanding of databases including RDBMS, non-SQL and time-series databases;

• Experience in building 0-downtime applications/components;

• Experience with working in an agile/scrum way, but at least you should have a strong willingness to do so.

2. Chapter Lead SRE

What you bring to the team:

• Familiar with SRE concepts and System and application monitoring

• Knowledge of infrastructure architecture and practices 

• Good understanding of databases including RDBMS, non-SQL Experience with monitoring and observability (ELK stack) 

• Deployment and provisioning automation tools e.g. Docker, Kubernetes, Openshift, CI/CD 

• Infra as code (Terraform, Ansible) 

• Bash scripting and Linux systems administration 

• Analyze, solve and correct issues.

Nice to have: 

• Experience with distributed systems and clusters for both batch as well as streaming data (S3/Spark/Kafka/Flink) 

• System design and architecture 

• Experience with Apache Airflow

• Programming in Python 

• Experience with building distributed, large scale and secure applications 

• Experience working in cloud environment (e.g. GCP) 

• Experience with working in an agile/scrum way 

Do you recognize yourself in one of these profiles?

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