Remote Data Engineer (AI/ML)

Description:

• The purpose of the Data Engineer (AI/ML) position is to leverage data across the company to enhance commercial decisions and provide excellent campaign management.
• The role involves researching, building, designing, and automating predictive models, as well as tracking their progress through metrics.
• The candidate should possess strong communication and analysis skills, be a team player, and work with minimal supervision.
• Responsibilities include writing clean and maintainable code, understanding business objectives, developing models to achieve these objectives, and finding innovative solutions to complex problems.
• The role requires evaluating existing models and recommending improvements for better performance efficiency.
• The Data Engineer will be part of the Data Services department, collaborating with a global team of data engineers and analysts.

Requirements:

• A Bachelor’s degree or higher in data science, data engineering, business intelligence, business administration, or a related field with a focus on math and statistics is preferred.
• A minimum of 2 years of experience as a data engineer on AI/ML projects using Python, R, or similar technologies is required.
• Strong experience with Microsoft Azure data engineering pipelines, including Azure Data Factory, Azure Data Bricks, ADLS, Azure Event Hub, and Azure SQL DB is essential.
• A solid understanding of scrum practices and an agile mindset is necessary.
• Proficiency in Python (NumPy, Pandas, Scikit-Learn, Keras, Flask) and R is required.
• Experience in designing end-to-end ETL solutions using Microsoft Azure technology is crucial.
• Knowledge of cloud services (Azure and AWS) and experience with BI/Data Analysis technologies is important.
• Familiarity with big data technologies, Data Bricks, Spark, Scala, and/or JSON is preferred.
• Strong analytical skills to translate business needs into actionable tasks and deliver projects on time and within budget are essential.
• A strong understanding of machine learning principles and a proactive approach to challenges are required.
• Excellent communication, interaction, project, and process management skills are necessary.

Benefits:

• The company offers a flexible four-day Flexi-Week at full pay, prioritizing mental health and well-being, along with various paid special leaves.
• Employees have the flexibility to work from the office, home, or any other location within Awin's locations.
• Support for mental and physical well-being is provided through various initiatives and sports offers.
• Awin Academy offers extensive training programs to support professional and personal development.
• A monthly allowance is provided to cover part of remote working costs, along with support for setting up a remote workspace.
• A peer-to-peer program allows employees to thank and reward colleagues with vouchers for their support and efforts.
• Awin promotes a dynamic, social, and inclusive culture, emphasizing diversity and inclusion in its hiring practices.