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Data Engineer Strategy & People Analytics

at ING
📍 Amsterdam, Netherlands
MIDDLE
✅ Hybrid
✅ Visa Sponsorship

🕙 36 hours per week

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Docker @ 3 Kubernetes @ 3 Linux @ 3 Python @ 3 SQL @ 3 CI/CD @ 3 Data Science @ 3 Bash @ 3 Communication @ 3 Data Engineering @ 3

Details

You will work as an engineer in our ING Global Strategy & People Analytics team where we build and deploy analytics products, data science models & dashboards to support all decisions about ING employees making ING a great place to work for.

You will work in a squad on the front-line closely with data scientists and business translators to agree on the best way to support our stakeholders. You will play a pivotal role in the administration of our platform and its future roadmap in collaboration with ING Tech & ING Analytics.

Responsibilities

  • Creation, schedule and optimization of the data processing pipelines using SQL & Python and deployed on our on-prem platform.
  • Improve data flow, establish new data sources and deployment.
  • Troubleshoot data issues, providing robust solutions to ensure optimal performance and reliability.
  • Proactively working on our on-prem platform and its administration & its future roadmap with support of our data engineer.
  • You are the go-to person for our team members developing, testing, and deploying their work on our platform.
  • Support our platform’s IT Risk colleagues.

Requirements

We are looking for you if you:

  • Have 2-3 years of experience in data engineering.
  • Have hands-on experience building data pipelines.
  • Have strong experience in data processing and optimization using Python & SQL.
  • Have good knowledge of data manipulation and transformation.
  • Have knowledge of software engineering best practices.
  • Have deployment and provisioning automation tools (e.g., Docker, Kubernetes, CI/CD).
  • Have a take-it-on-and-make-it-happen mentality, you are eager to take full ownership when we enter the technical phase of a project.
  • Have excellent communication skills, writing and verbal in English.
  • Want to learn more and proactively acquire knowledge.

You'll get extra points for:

  • Hands-on experience in training and evaluating ML models.
  • Bash scripting and Linux systems.

Benefits

We want to make sure that it’s possible for you to strike the right balance between your career and your private life. Find out more about our employment conditions.

The benefits of working with us at ING include:

  • A salary indication in scale 9 between €3.678,97 and €6.029,08 based on a 36-hour working week.
  • 24-27 vacation days depending on contract.
  • Pension scheme.
  • 13th month salary.
  • 8% Holiday payment.
  • Hybrid working.
  • Personal growth and challenging work with endless possibilities.
  • An informal working environment with innovative colleagues.

About us

Curious about how ING empowers people and businesses to move forward? Discover what we do and what we can offer you.