Data Engineer@ING Hubs RO

Work set-up: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Minimum of 3 years of experience in Data Engineering., Strong expertise in Data Warehousing and Data Modelling using SQL and Azure Synapse Analytics., Hands-on experience in building and optimizing data pipelines in Azure., Proficiency in Python/PySpark, Power BI, and familiarity with Terraform and CI/CD tools..

Key responsibilities:

  • Develop and maintain ETL flows using Azure Synapse Analytics.
  • Integrate data from various sources into Azure Data Warehouse.
  • Monitor, test, and validate data flows to ensure quality and compliance.
  • Support data analysis and visualization using Power BI and other tools.

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ING Banking XLarge https://www.ing.com/
10001 Employees
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Job description

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 ๐จ๐ฏ๐ž๐ซ ๐Ÿ๐ŸŽ๐ŸŽ๐ŸŽ ๐ก๐ข๐ ๐ก-๐ฉ๐ž๐ซ๐Ÿ๐จ๐ซ๐ฆ๐ข๐ง๐  ๐ž๐ง๐ ๐ข๐ง๐ž๐ž๐ซ๐ฌ, ๐ซ๐ข๐ฌ๐ค, ๐š๐ง๐ ๐จ๐ฉ๐ž๐ซ๐š๐ญ๐ข๐จ๐ง๐ฌ ๐ฉ๐ซ๐จ๐Ÿ๐ž๐ฌ๐ฌ๐ข๐จ๐ง๐š๐ฅ๐ฌ.

We started out in 2015 as INGโ€™s software development hub, then steadily expanded our range to include more services and competencies. Now we provide borderless services with bank-wide capabilities and ๐จ๐ฉ๐ž๐ซ๐š๐ญ๐ž ๐Ÿ๐ซ๐จ๐ฆ ๐ญ๐ฐ๐จ ๐ฅ๐จ๐œ๐š๐ญ๐ข๐จ๐ง๐ฌ: ๐๐ฎ๐œ๐ก๐š๐ซ๐ž๐ฌ๐ญ ๐š๐ง๐ ๐‚๐ฅ๐ฎ๐ฃ-๐๐š๐ฉ๐จ๐œ๐š.

๐Ž๐ฎ๐ซ ๐ญ๐ž๐œ๐ก ๐œ๐š๐ฉ๐š๐›๐ข๐ฅ๐ข๐ญ๐ข๐ž๐ฌ ๐ซ๐ž๐ฆ๐š๐ข๐ง ๐ญ๐ก๐ž ๐œ๐จ๐ซ๐ž ๐จ๐Ÿ ๐จ๐ฎ๐ซ ๐›๐ฎ๐ฌ๐ข๐ง๐ž๐ฌ๐ฌ, with more than 1800 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

Data is a game-changer. Itโ€™s all around us. Implementing a uniform approach as to how we manage data throughout the bank allows us to enhance the customer experience, lower IT operational costs, and swiftly and correctly report to external regulators.

Data management can help our customers, and our organization unlock new potential and realize our shared vision of becoming a next generation digital bank.
The role of a Data Engineer is to combine knowledge of the IT domain with strong technical skills in data engineering.
The mission is to work as an experienced engineer in a squad whose goal is supporting Data Analysts, Data Scientists and Dashboards designers in ensuring the efficient development and optimization of data pipelines and infrastructure.
Your contributions will help in leveraging data engineering tools and techniques to reach our business objectives (boosting digital sales, making customer interactions even more personal, etc.

Your day to day

Even if youโ€™ll start your day from the comfort of your home or drink your morning coffee in our officeโ€™s garden, your day will be quite similar when it comes to tasks. Here are your daily responsibilities:


1. Develop ETL flows using Azure Synapse Analytics and SQL procedures.
2. Integrate data from different source systems into Azure Data Warehouse.
3. Perform tests and validate all data flows, preparing ETL processes according to business
requirements.
4. Contribute to code versioning and deployment of changes using GitHub and Azure DevOps.
5. Understand the concepts and the business value of the data that is processed.
6. Understand the Logical Data Model and Physical Data Model. Develop data models for our Data
Warehouse.
7. Build and optimize data pipelines in Azure.
8. Monitor and maintain the data flows and features running in Azure Data Lake and other Azure
services (incident management and bug fixing).
9. Ensure compliance with IT Security/Risk standards, which are a key part of the risk management
process.
10. Help tune performance and ensure high availability of services.
11. Utilize Python/PySpark for writing notebooks and data processing tasks.
12. Apply knowledge of Terraform for infrastructure as code.
13. Leverage Power BI Service for data visualization and reporting.

What youโ€™ll bring to the team

Experience:


1. You have a minimum of +3 years of experience in Data Engineering Area
2. In Banking industry is considered a plus


ร˜ Tech stack/ knowledge:


โ€ข Mandatory:
1. Strong experience with Data Warehousing and Data Modelling using SQL and ETL flows in Azure
Synapse Analytics
2. Experience and knowledge of services in Microsoft Azure, eg Data Lake, EventHubs, Stream
Analytics Jobs, Azure Databases
3. Hands-on experience in Data Engineering including build Data pipelines in Azure
4. Good understanding of CI/CD tools and experience of CI/CD configuration with GitHub and Azure
Dev/Ops
5. Python/Pyspark with focus on writing notebooks
6. Experience working within Continuous Delivery or Continuous Deployment processes
Knowledge of Terraform infrastructure as a code
7. Knowledge of Power BI Service
8. The strong foundational knowledge and ability to adapt to new technologies and paradigms that
are often found in development experts are considered more important than most missing nice to
haves in this list


โ€ข Nice to have:
-
ร˜ Soft skills
- Superb analytical and problem-solving abilities
- Good communication skills, awareness towards emotional intelligence factors
ร˜

Foreign languages: English (advanced)
ร˜ Education: nice to have bachelorโ€™s degree (or higher) in an IT related field

If you want to deep dive into the processing of personal data conducted by ING Hubs Romania during the recruitment process and your rights related to it, read the privacy notices on our website (make sure to scroll until you reach the Data Protection section/ Candidates tab). 

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Banking
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Communication
  • Emotional Intelligence
  • Problem Solving
  • Analytical Skills

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