Job Overview
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Job Description
Data Engineer at ING Hubs Poland
ING Hubs Poland is hiring a Data Engineer to join their innovative team. This role offers the opportunity to work with cutting-edge cloud technologies and be part of an agile, international team focused on continuous learning and career growth.
Why Join Us?
- Work with cutting-edge cloud technologies (GCP, BigQuery, Dataflow, Terraform).
- Be part of an agile, international team focused on innovation.
- Enjoy a culture of continuous learning and career growth.
What You’ll Do
- Design, develop, and optimize cloud-based data pipelines.
- Automate testing and ensure security, stability, and performance.
- Work with structured and unstructured data across cloud and on-prem environments.
- Contribute to architecture decisions and best practices.
- Collaborate with teams to deliver high-quality, efficient solutions.
You’d be a great fit for us if
- You have strong SQL and database expertise.
- You are experienced with Python or Java.
- You have experience with GCP (BigQuery, Dataflow, Cloud Composer) or other public cloud providers' equivalents (AWS, Azure).
- You know CI/CD tools (Azure DevOps, Git, Maven), Automated Testing, and Infrastructure as Code (e.g., Terraform).
- You are analytical and proactive.
- You know English on an advanced level.
Nice-to-Have:
- DBT, Looker, data governance.
- Experience with Apache Beam, Spark, Flink, or Kafka.
Ready to Make an Impact?
Join the ING Pricing Architecture (IPA) team and be part of a global, cutting-edge platform at the heart of financial risk analytics. You'll collaborate across four international locations to drive innovation in real-time and batch risk calculations for ING’s Financial Markets. Apply now!
Key skills/competency
- Data Engineering
- Cloud Technologies (GCP, AWS, Azure)
- SQL
- Python/Java
- Data Pipelines
- BigQuery
- Dataflow
- Terraform
- CI/CD
- Agile
How to Get Hired at ING Hubs Poland
- Tailor your resume: Highlight your SQL, Python/Java, and GCP (BigQuery, Dataflow) experience, aligning keywords with the Data Engineer role.
- Showcase cloud expertise: Emphasize projects involving Terraform, CI/CD tools, and automated testing in your application.
- Prepare for technical interviews: Brush up on database concepts, data pipeline design, and cloud architecture principles relevant to financial risk analytics.
- Demonstrate proactivity: In your application and interviews, showcase your analytical skills and proactive problem-solving approach.
- Highlight English proficiency: Ensure your advanced English skills are evident throughout the application process.
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