For our client, a global retail company with an annual revenue of more than EUR 10 billion, we are looking for a candidate for the position of
Senior Data Engineer
Responsibilities:
- support data analysis and science team with technical expertise,
- design and develop reporting capabilities,
- everyday work with data - data engineering, creating ETLs, connecting diverse data sources,
- build code that manipulates data from data warehouse, APIs and event streams,
- create and manage pipelines and ETL processes,
- educate data analysts and scientists on best practices in data management and processing,
- manage, develop, prioritize and recommend initiatives to improve and build upon the data architecture to support the team,
- ensure consistency of process and usage, and champions best practices in data management,
- oversee data accuracy processes, goals and assessment.
Requirements:
- 3+ years of experience in cloud solutions, preferably AWS as data engineer,
- previous experience with DataBricks,
- understanding of core business intelligence,
- expertise in SQL & Python & Scala,
- advanced knowledge of data structures and algorithms,
- advanced knowledge of SQL databases and methods enabling efficient data retrieval and processing,
- english level allowing to take part in meetings, read and write documentation.
The offer:
- independent position with variety of data engineering tasks,
- opportunity to learn from best in class data engineers from headquarter and local offices,
- open and fun working environment,
- base salary + bonus,
- B2B contract,
- home office,
- professional development and career growth.