Databricks Data Engineer (all humans)
Bratislava, Slovakia
Erste Group
Erste Group is one of the largest financial services providers in Central and Eastern Europe.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.
What to do:
Team responsibilities:
- Building 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
- Acting as a 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 fulfill the predefined data constraints and rules
Individual responsibilities:
- Integrate and implement ETL process for the various source systems for both batch and streaming data integrations within DataBricks on MS Azure
- 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 Machine Learning, Data Science, BI and DWH
- Identify and implement various innovations/improvements bringing the stability, robustness and future extendibility of the solution
You check these boxes:
- Passionate person when it comes to the data and technical disciplines
- Reliable person that drives the topics on their own with full responsibility for the quality and efficiency of the final outcome
- Knowledge of Cloud or Hadoop technologies
- Proficiency in Python and SQL
- Experience with data ingestion procedures
- Strong analytical skills with keen attention to detail
- Not mandatory but nice to have: Experience with DataOps or MLOps implementations
- Fluent English (written and also spoken communication is required)
Why you will like us:
- Possibility to benefit and learn from our international, talented and passionate community at Erste
- Interest groups and clubs: Take part in discussions and get involved in projects. Numerous interest groups invite you to engage with a topic
- Health Care – Taking care of your health is important. That’s why we contribute to your above standard medical examination and provide a helpline in case of hard lifetime situations. You also receive a salary compensation during sick leave
- Work-Life-Balance – Sabbatical, paternity leave, contribution to marriage & childbirth, 4 days of extra holiday per year, contribution to the 3rd pillar and MultiSport card. This is how we promote a balance between work, leisure, and family
- Employee Referral Program – Become a talent scout for career opportunities in IT. We are rewarding every successful referral for Erste Digital
- A competitive and performance-related salary dependent on your professional and personal qualifications is granted - we are obliged by law to quote the minimum wage of EUR 2.500,- gross per month for this full time position. But this is just a formality, we are more than happy to discuss your actual expectations.
The way we are:
Erste Group considers the diversity of its employees as key to innovation and success. As employer we are proud to offer everyone equal chances, irrespective of age, skin colour, religious belief, gender, sexual orientation or origin.
Tags: Architecture Azure Banking Databricks DataOps ETL Hadoop Machine Learning MLOps Python SQL Streaming
Perks/benefits: Competitive pay Medical leave Team events
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