Remote Senior Data Engineer

Description:

• The senior data engineer develops, constructs, tests, and maintains architectures, such as databases and large-scale processing systems, ensuring that architecture fully supports business requirements.
• This role involves close collaboration with the business’s Data and Analytics teams to gather technical requirements for exceptional data governance.
• Responsibilities include analyzing complex data elements and systems, data flow, dependencies, and relationships to contribute to conceptual physical and logical data models.
• The engineer designs, builds, implements, and maintains database structures to support business needs, including the integration of vendor database solutions into the data environment.
• Contributes to the development of the capacity planning function to identify needed hardware, software, and database configuration/architecture to support application/business needs.
• Manages the life cycle of multiple database tools, enabling smooth upgrades and/or installation and support of new capabilities.
• Engages in data munging, manipulation, cleansing, and blending from multiple data sources, with exposure to various data types and storage paradigms, including data mining.
• Works with data to solve business problems and builds and maintains the infrastructure to answer questions with data.
• Develops and manages scalable data processing platforms used for exploratory data analysis and real-time analytics.
• Oversees activities of junior data engineers, ensuring proper execution of their duties and alignment with business vision and objectives.

Requirements:

• A Master’s degree in Information Technologies is required.
• A minimum of 5 years of experience in ICT Analysis, Architecture & Design is necessary.
• Expertise in Cloud solutions, preferably GCP (or Azure, or AWS) in the range of data processing is required.
• Advanced knowledge of machine learning is essential.
• Expert experience in Data Analytics and visualization is required.
• Expertise in Big Data technologies (e.g., MapReduce, Hive, HDFS, YARN, HBase, Oozie) is necessary.
• Advanced experience with Data processing methods (Kafka, Spark) is required.
• Expert knowledge in Data streaming and Data warehousing is necessary.
• Advanced experience with SQL and NoSQL Databases is required.
• Advanced programming and scripting skills are necessary.
• Proficiency in data mining techniques at an advanced level is required.
• Strong analytical thinking, team management, cross-functional collaboration, strategic thinking, innovation ability, effective communication, and stress tolerance are essential.
• Advanced English (C1) proficiency is required, and intermediate German (B1) is an advantage.

Benefits:

• The company offers a balance between work and personal life, promoting physical and mental well-being.
• Employees benefit from an attractive and extensive work-life balance portfolio that guarantees lasting motivation and a better quality of life.
• Over 25 different benefits are provided to improve personal and professional life, including financial benefits, learning and development opportunities, health and sport benefits, and family and work-life balance benefits.
• The final salary is negotiable, with a base salary depending on seniority level and previous experience, starting at no less than 3100€ /brutto.
• A variable part and other financial benefits are also included in the compensation package.
• Remote working is available only within Slovakia due to European taxation regulations.