Senior Data Engineer

Start Date: January/February 2025

Co-op Duration: Long-term, minimum 1 year.

Seniority Level: Strong Mid/Senior

Recruitment Process:

• Round 1: 60 minutes of CV review and technical questions, including theory and live coding (with screen sharing).
• Round 2: If needed, an additional 30-minute round.

Preferred Location: Wrocław

Remote work is possible, with availability to travel to Wrocław several times a year.

Responsibilites:

• Designing and implementing data pipelines that ingest data from different data sources
• Delivering analytical solutions together with data scientists and analysts
• Development of scalable data architectures (machine learning) on MS Azure platform
• Converting data into insights
• Maintaining and documenting delivered solutions

Requirements:

• Deep knowledge of data engineering principles and working experience in developing advanced analytics data pipelines
• Knowledge of SQL and excellent coding skills in (Python / Scala)
• Experience working with big data technologies (Hadoop / Hive / Spark)
• Understanding of data modelling, data security best practices and data provisioning concepts
• BS/MS degree in Computer Science or related field

Technologies we use - must have:

Azure Databricks&Unity Catalog / Azure Data Factory / IoT Hub / Azure DevOps / Azure Storage / Azure Stream Analytics / GitHub /

Azure Key Vault / Azure Functions / SQL Server / Azure Cybersecurity and Networking configurations

Technologies we use - nice to have:

Azure Machine Learning / Azure AI Foundry / PowerBI / Cosmos DB / Purview / EntraID / MS Fabric

What we offer:

• Deep understanding of the domain knowledge in the field of molecular biology
• Exposure and hands on experience in the development of cutting-edge cloud data&ai solutions
• Ability to deliver proof of concept solutions and chance to experiment with different technologies
• Implementing solutions that create real value for the company and has an impact on the industry
• Opportunity to work with experienced data engineers, data scientists and domain experts