Data Engineer

Purpose of Position

Data sits at the heart of Awin Global. This role ensures that Awin is able to leverage its data across the group, building out reporting to enable better commercial decisions and provide best-in-class campaign management for client-facing departments.

As a Data Engineer, you will be 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 will understand data, business, and technical requirements, writing clean, high-quality code that is easy to understand and maintain. Your expertise in various methodologies of data extraction, transformation, and storage will be critical, successfully applying your knowledge of scripting, SQL, and conceptual OLTP and/or OLAP databases.

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.

Key Tasks & Accountabilities

• 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.

Education & Experience

• 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.
• Familiarity with AWS Glue, S3, Athena, Redshift, and Lambda is highly desirable.
• Excellent command of SQL, T-SQL, Python, and PySpark.
• Practical experience with Agile and Scrum methodologies.
• Strong communication and analytical skills.
• Ideally, experience working in a big data environment and exposure to AI/ML frameworks/libraries (MLlib, MLOps, Scikit-learn, TensorFlow, Matplotlib), Spark, and JSON.

Skills & Core Competences

• Ability to design, build, and optimize complex data pipelines in Python and PySpark using Azure and AWS services (e.g., Data Factory, Databricks, S3, and ADLS).
• Strong analytical mindset with the ability to translate business needs into actionable data solutions.
• Solid mathematical and problem-solving skills, with a curiosity to learn and apply new concepts.
• Innovative mindset — proactively bringing new ideas and improvements to data warehouse development.
• Open to change, eager to learn, and willing to take initiative.
• Self-reliant and confident in making autonomous decisions when needed.
• Excellent communication and interpersonal skills.
• Strong project and process management skills — consistently delivering work on time and within budget without compromising quality.
• Collaborative team player committed to continuous improvement.

Our Offer

• Flexi-Week and Work-Life Balance: We prioritize 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.

Established in 2000, Awin is proud of our dynamic, social and inclusive culture.

Like all businesses, we’ve had to adapt and nurture our culture in a virtual environment. Our virtual ‘Life @ Awin’ hub brings our colleagues from across the globe together for various social activities.

Diversity & Inclusion are paramount to us, and we proudly pursue and hire diverse team members. We champion uniqueness and authenticity; this is who we are at our core. Our network of affiliate partnerships are diverse and transparent, as are the employees powering our vision to build the world’s leading open partner ecosystem. We welcome all backgrounds, identities, and experiences. If you need support at any point in the application or interview process, please let us know.

Awin is part of the Axel Springer group. Learn more at axelspringer.com/en/, and explore the Axel Springer Essentials here: axelspringer.com/en/inside/the-essentials-what-we-have-adapted-and-why

Apply now to begin the next stage of your career at a progressive company that supports both your professional and personal development.

Key skills/competency

• Data Warehousing
• ETL Development
• Python Programming
• SQL Proficiency
• Azure Data Services
• AWS Data Services
• Databricks
• Data Modeling
• Agile Methodologies
• Performance Optimization