Awin
DataEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Engineer at Awin. Skills: Data Engineering, designing, building, optimizing scalable data pipelines, curated datasets, analytical data models, Azure, AWS, Databricks. designing, building, and optimizing scalable data pipelines. curated datasets”
What You'll Achieve.
ensure Awin can leverage the data it has access to across the group; build out reporting to ensure we are able to make better commercial decisions; provide best-in-class campaign management to support client-facing departments
Industry & Context.
translating business logic into well-structured tables, metrics, and transformation rules
What They're Looking For.
Must Have
SQL proficiency, Python, R, Scala, Spark, dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, dbt Cloud, Delta Lake, regression, classification, clustering, time-series, A/B testing, causal inference, AWS (S3, Glue, SageMaker, Athena), GCP (BigQuery, Vertex AI), Azure (Synapse, ML Studio), Tableau, Power BI, Looker, Metabase, Superset, Qlik, MicroStrategy, scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, dbt Certified
Nice to Have
PhD preferred, specific ML framework experience, cloud platform certs
What You'll Do.
and optimizing scalable data pipelines
analytical data models
working with largescale datasets
improving performance and reliability
translating business logic into well-structured tables
and transformation rules
supports analytics teams through the delivery of high-quality
well documented datasets
ensures operational monitoring
and engineering best practices
How You'll Work.
Team & Collaboration
supports analytics teams
Communication Scope
communication
Full Job Description
Purpose of position Data sits at the heart of the company. This role is to ensure that Awin can 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, your role focuses on designing, building, and optimizing scalable data pipelines, curated datasets, and analytical data models within Azure, AWS, and Databricks environments. The position involves working with largescale datasets, improving performance and reliability, and translating business logic into well-structured tables, metrics, and transformation rules. The role also supports analytics teams through the delivery of high-quality, well documented datasets and ensures strong operational monitoring, data quality, and engineering best practices. Key Responsibilities Data Engineering 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.
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