📍 Client : european bank
🗣️ Recruitment : phone screen with our recruiter + 2 on-line meetings with hiring managers
🗺️ Remote work with availability within Central European Time (CET)
Verita HR is an international company providing recruitment support within #Fintech, #Finance and #Banking market in EMEA. We connect the most innovative organizations with the best people in the market. We conduct systematic market research, which allows our Digital Teams to be a step ahead of the competition.
This role sits at the heart of a large digital transformation within a European banking institution. Data is treated as a real business asset, not an afterthought. As a Data Engineer, you will help build and run a modern data platform that supports analytics, reporting, and business decision-making across the organization. You will work on a mix of cloud-based and on-prem solutions, focusing on reliable data pipelines, data quality, and scalable data processing.
What's in it for you :
Tech stack you will use :
📍 Client : european bank
🗣️ Recruitment : phone screen with our recruiter + 2 on-line meetings with hiring managers
🗺️ Remote work with availability within Central European Time (CET)
Verita HR is an international company providing recruitment support within #Fintech, #Finance and #Banking market in EMEA. We connect the most innovative organizations with the best people in the market. We conduct systematic market research, which allows our Digital Teams to be a step ahead of the competition.
This role sits at the heart of a large digital transformation within a European banking institution. Data is treated as a real business asset, not an afterthought. As a Data Engineer, you will help build and run a modern data platform that supports analytics, reporting, and business decision-making across the organization. You will work on a mix of cloud-based and on-prem solutions, focusing on reliable data pipelines, data quality, and scalable data processing.
What's in it for you :
,[ Build and maintain robust data pipelines (batch, micro-batch, real-time), Work with both structured and unstructured data from diverse sources, Transform raw data into trusted, value-adding assets for business use, Implement data quality frameworks (validation, profiling, cleansing), Manage storage, metadata and master data for the entire platform, Support modern orchestration processes and pipeline automation, Ensure systems are scalable, cost-effective, and easy to maintain] Requirements : Azure, SQL, Python, ETL, Data engineering, Azure Data Factory, Azure Databricks, Spark, Bash, Git, Java, Scala, JVM Tools : Agile, Scrum. Additionally : Flat structure, Small teams, International projects.
Azure Data Engineer 100 Remote Verita HR • Remote, Czech Republic