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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 and Work-Life Balance: We prioritise your mental health and wellbeing, offering you a flexible four-day Flexi-Week at full pay and with no reduction to your annual holiday allowance. We also offer a variety of different paid special leaves
Flexi-Office: We offer an international culture and flexibility through our Flexi-Office and hybrid/remote work possibilities to work across Awin regions
Remote Working Allowance: You will receive a monthly allowance to cover part of your running costs. In addition, we will support you in setting up your remote workspace appropriately
Health & Well Being: With our support and access to various initiatives and sports offers, you can devote yourself to your mental and physical well-being. Additionally to our initiatives on our Awin platform, we offer Multisport Card, and Medicover or Luxmed health insurance
Development: We’ve built our extensive multidisciplinary training suite Awin Academy (to cover a wide range of skills that nurture you professionally and personally,) with trainings conveniently packaged together to support your overall development. You can also improve your foreign language skills by participating in our local language course
Appreciation: Thank and reward colleagues by sending them a voucher through our peer-to-peer program
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