Data Engineer
Responsibilities
- Implement and maintain data workflows, ETL / ELT processes, and pipelines to move identified data into target platforms for further consumption and integration as required by product owners.
- Design and implement identified data processes and storage such as usage of databases, data warehouses, data marts, and data lakes with data security in mind.
- Build supporting tooling and procedures needed for data movement and monitoring activities.
- Implement available automations for data movement processes.
- Ensure delivered workflows and processes meet expected quality outputs through conducting testing.
- Document specs and implementations of deliverables mentioned.
- Work with operations teams for maintenance and continuous improvement of workflows and pipelines.
- Work on distributed Data processing and database with Distribution & partitioning
- Ability to perform tasks related to end-to-end Data Journey including Reporting.
- Ensure integrated data pipeline validation is performed.
Job Description:
We are looking for you, if you:
- You have experience in data processing using Azure Data Factory,
- Worked with Power BI Service or Power BI Report Server and have experience in dashboard creation (incl. DAX) and administration,
- Know SQL and SQL Server/Oracle Database,
- Have knowledge of methodologies for creating data warehouses and designing ETL processes,
- Have expertise with the implementation of programming solutions on large data sets, statistical analysis Plans and technical specifications documents,
- Are a naturally collaborative person who listens and invests in others to achieve common goals,
- Love to challenge the status quo and are eager to propose creative solutions to problems,
- Have ability to quickly adopt to change and still complete your tasks,
- Have good communication skills, writing and verbal in English.
You will get extra points for:
- Experience with Business Intelligence tools such as Visual Analytics,
- Basic SAS knowledge,
- Knowledge about Credit Risk and how bank works,
- Azure DevOps.
Your responsibilities:
- Building scalable and efficient pipelines in Azure Data Factory,
- Translate the business requirements into strong visualizations in Power BI,
- Development of Business Intelligence environment,
- Architectural improvements,
- Documentation – technical and for business users.
Information about the squad:
- As a Data Engineer, you will be part of ING Hubs Poland. You will be involved in data processing automation, data structures development, dashboards preparation.
- You will be working in an Agile environment by being a member of a multidisciplinary team of 5 to 9 specialists. Your colleagues will have a background in Data Analytics, Data Management, Reporting in the Credit Risk domain.
Nice to have
- Proficiency and experience in programming languages such as Python, shell scripting
Top Skills
What We Do
ING is a pioneer in digital banking and on the forefront as one of the most innovative banks in the world. As ING, we have a clear purpose that represents our conviction of people’s potential. We don’t judge, coach, or tell people how to live their lives. However big or small, modest or grand, we empower people and businesses to realise their vision for a better future. We made the promise to make banking frictionless, removing barriers to progress, and make people confident in their financial decisions. As a global bank we have a huge opportunity – and responsibility – to make an impact for the better. We can play a role by financing change, sharing knowledge, and innovating. Being sustainable is in all the choices we make—as a lender, as a partner and through the services we offer our customers
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