Senior Data Engineer

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:

Your responsibilities:

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