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Purpose of position: Data sits at the heart of the company. This role is to ensure that Awin is able to leverage the data it has access to across the group and build out reporting to ensure we are able to make better commercial decisions and provide best-in-class campaign management to support client facing departments. As a Data Engineer, you are responsible for collecting data from multiple sources, sanitizing, cleansing, transforming, and consolidating it to make it available for further analysis or publication in reports. You understand data, business and technical requirement. You write clean and high-quality code that is easy to understand and maintain. You clearly understand the various methodology of data extraction, transformation and storage and successfully applying your experience and knowledge of scripting, SQL, and conceptual OLTP and/or OLAP database. In this role, you will help ensure the smooth day-to-day operation of the data warehouse while working closely with a global team of data engineers, analysts, and reporting specialists — as well as other big data engineers within the organization.
Job Responsibility:
Write clean, elegant, and maintainable code following data warehousing best practices and modeling techniques (Kimball, Star Schema, etc.)
Troubleshoot data transformation errors by debugging and developing effective solutions
Clearly and confidently present findings, bugs, and proposed system improvements to stakeholders
Design and implement new Azure and AWS data pipelines and Databricks notebooks to integrate additional data sources
Add new data points to existing Azure Analysis Services (AAS) cubes or equivalent data models
Continuously identify and implement performance improvements
Ensure the quality, accuracy, and reliability of all data and reports
Requirements:
Bachelor’s degree or higher in Data Science, Data Engineering, Business Intelligence, Business Administration, or a related field with a focus on data engineering, analytics, or business intelligence
2+ years of working experience as a Data Engineer or Data Warehouse Developer using Python or similar technologies
Hands-on experience with Microsoft Azure and AWS data engineering pipelines
Excellent knowledge of database and dimensional modeling techniques
Strong experience with Azure Data Factory, Azure Databricks, Python (NumPy, Pandas), ADLS, Azure Event Hub, and Azure SQL DB
Excellent command of SQL, T-SQL, Python, and PySpark
Practical experience with Agile and Scrum methodologies
Strong communication and analytical skills
Nice to have:
Familiarity with AWS Glue, S3, Athena, Redshift, and Lambda is highly desirable
Ideally, experience working in a big data environment and exposure to AI/ML frameworks/libraries (MLlib, MLOps, Scikit-learn, TensorFlow, Matplotlib), Spark, and JSON
What we offer:
Flexi-Week at full pay with no reduction to annual holiday allowance
Various paid special leaves
Flexi-Office and hybrid/remote work possibilities
Monthly remote working allowance
Support for mental and physical well-being initiatives
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