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Description:
The Data Engineer role is crucial for leveraging data across the company to enhance commercial decisions and campaign management.
Responsibilities include collecting, sanitizing, cleansing, transforming, and consolidating data for analysis and reporting.
The position requires writing clean, high-quality code that is easy to understand and maintain.
The role involves understanding data extraction, transformation, and storage methodologies, applying experience in scripting, SQL, and database concepts.
Daily operations of the data warehouse will be managed, collaborating with a global team of data engineers, analysts, and reporting teams.
Key tasks include writing maintainable code, troubleshooting data transformation errors, presenting findings to stakeholders, creating Azure pipelines, adding data points to existing sources, and ensuring data quality and report accuracy.
Requirements:
A Bachelor’s degree or higher in data science, data engineering, business intelligence, or a related field with a focus on data engineering is preferred.
A minimum of 2 years of experience as a data warehouse developer or data engineer, preferably with Python or similar technologies.
Hands-on experience with Microsoft Azure data engineering pipelines is required.
Excellent knowledge of database and dimensional modeling technologies is essential.
Proficiency in Azure Data Factory, Azure Data Bricks, Python (NumPy, Pandas), ADLS, Azure Event Hub, and Azure SQL DB is necessary.
Strong knowledge of SQL, T-SQL, Python, and PySpark is required.
Familiarity with scrum and Agile practices is preferred.
Proven communication and analytical skills are essential.
Experience in a big data environment and familiarity with AI/ML frameworks/libraries is a plus.
Benefits:
A flexible four-day work week at full pay, with no reduction in annual holiday allowance, promoting work-life balance.
The option to work from various locations, including the office or home, providing flexibility in the work environment.
Access to health and well-being initiatives to support mental and physical health.
Extensive training opportunities through Awin Academy for professional and personal development.
A monthly allowance to cover remote working costs and support in setting up a remote workspace.
A peer-to-peer recognition program to appreciate and reward colleagues for their contributions.