Chapter Lead: Data Integration & Exchange (Hybrid)

ING Hubs B.V. Turkiye

Amsterdam

Hybrid

EUR 120,000 - 180,000

Full time

7 days ago
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Benefits offered by this job

25-28 vacation days
Pension scheme
13th month salary
8% Holiday payment
Hybrid working
Personal growth
Informal working environment

Job summary

ING is seeking an IT Chapter Lead to directly manage and mentor a team of 10–12 data engineers focused on translating ING's reporting challenges into the Finance & Risk integrated data architecture (FRIDA). You will lead in cloud-native environments, align with domain architects, and co-create area vision while ensuring data contracts, quality, and governance.

You will oversee end-to-end data onboarding, promote reusable patterns, and drive continuous improvement, while balancing Run and Change

Qualifications

  • At least 10 years experience as a data engineer.
  • Strong people leadership in data engineering.
  • Expertise in cloud-native data platforms, data warehousing, lakehouse architecture, and large-scale data engineering.

Responsibilities

  • Lead a data engineering chapter of 10–12 engineers.
  • Be technical leader and trusted advisor for cloud-native data platforms and data warehousing.
  • Drive onboarding and integration of multiple source systems into Finance & Risk architecture.

Skills

Data engineering leadership
Cloud-native platforms
Data warehousing
Lakehouse architecture
Large-scale data engineering
People leadership
Coaching engineers
Communication skills

Education

10+ years data engineering experience

Job description

ING is seeking an IT Chapter Lead to directly manage and mentor a team of 10–12 data engineers focused on translating ING's reporting challenges into the Finance & Risk integrated data architecture (FRIDA). You will lead in cloud-native environments, align with domain architects, and co-create area vision while ensuring data contracts, quality, and governance.

You will oversee end-to-end data onboarding, promote reusable patterns, and drive continuous improvement, while balancing Run and Change

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