← All jobs
Big Data Engineer for Business Data (all humans)
Bratislava, Bratislavský kraj, Slovakia · Remote · fulltime_permanent · Data
Apply well, not just fast
Create a free account and upload your resume to get a match score, keyword gaps, a tailored resume, a cover letter and interview prep for this job.
About the role
DatabricksETLMachine Learning
Make a difference in the financial life of millions of people: At Erste Digital you are co-creating the digital future, in which better financial health is possible. #believeinyourself
We are part of Erste Group – the largest banking group in Central and Eastern Europe with more than 2,500 branches and over 45,000 employees. Our more than 2,000 IT experts and enthusiasts are the bank's Digital Muscle.
Group Data Acquisition department is reliable and professional IT partner for business customers to fulfill the group BI, regulatory and non-regulatory analytical needs. It is designed as the primary integration point to acquire all relevant data sources (group data systems, local AT banks, CEE countries) for its further processing and analysis to support our business partners and users.
The team’s responsibilities include:
- Build the Data Lake and other Databricks-based solutions to grow to maximum extent in terms of the usability and benefit for the bank
- Building the know-how of the Cloud technologies to develop cloud-based solutions
- Support for data lake consumers with their free-form analytics, data discovery needs and data-science activities
- Acquiring the data from the respective local AT banks, CEE countries and various group source systems
- Being the first DQ gate ensuring the data fulfills the predefined data constraints and rules
What to do:
- Integrate and implement ETL process for the various source systems for both batch and streaming data integrations within DataBricks
- Contribute to the architecture and design of how to build and extend our Databricks based Data Lake
- Collaborate with business and IT users in the area of AI, Machine Learning, Data Science, BI and DWH
- Identify and implement various innovations/improvements bringing the stability, robustness and future extendibility of the solution