Databricks Data Engineer
You will be responsible for integrating and implementing ETL processes for various source systems in DataBricks on MS Azure, and for contributing to the development and expansion of the Data Lake. They will collaborate with business and IT teams to enhance the stability, scalability, and usability of the solutions, supporting areas such as Machine Learning, Data Science, and BI.
Job description
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
Prerequisites and skills
Competencies
- 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)
Advantages and benefits
Benefits- Be part of a vibrant, international community of talented and passionate individuals
- Participate in interest groups and projects to engage with different topics
- Benefit from comprehensive health care, including medical exams, a helpline for tough times, and salary compensation during sick leave
- Sabbaticals
- Paternity leave
- Extra 4 holidays per year
- Contributions to marriage & childbirth
- Contribution to your 3rd pillar
- MultiSport card
- Participate in our Employee Referral Program and earn rewards for successful talent referrals
About the company
Our client is the IT and digital services unit, focusing on driving technological innovation and supporting the bank’s digital transformation across Central and Eastern Europe.
Apply for the position

You will be guided through the selection process by Dominika. If you have any questions? Call +421 948 432 411.
Personal data
I hereby give my consent to the processing of my personal data contained in the job application, professional CV, personal questionnaire, personal data obtained from the contact form on the company’s website and personal data obtained during the interview at Grain s. r. o. in accordance with Act No. 18/2018 Coll. on the Protection of Personal Data (hereinafter referred to as “Act No. 18/2018 Coll.”) by Grain Slovakia s. r. o. for the purpose of employment mediation. Consent may be revoked in writing at any time, otherwise the consent expires 3 years from the date of its granting and the data will be anonymised and further used exclusively for statistical purposes. I also acknowledge that the rights of the data subject are regulated in Section 59 et seq. of Act No. 18/2018 Coll. I declare that I fully understand the conditions of processing my personal data and I give my consent knowingly, voluntarily and without reservation.