Awin

DataEngineer

Iași, Romania
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“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.

Problems you'll solve

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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