Senior Data Engineer (Python | Analytics)

In this position, you contribute to the successful implementation of our software solutions for advertisers, media owners and media agencies. Our solutions help these companies in making decisions around their marketing communication budgets. Based upon research data combined with analytical and econometric approaches our solutions answer questions like "What budget is needed to generate an increase of 10% in brand preference? What media mix contributes the most to the revenue?" 

Data Analysis and Reporting: You'll lead complex data analysis projects, leveraging Core SQL (including query services like AWS Athena) and Python to extract, manipulate, and analyze large datasets from sources like S3. You'll be responsible for developing and automating reports and dashboards that provide key insights to clients and stakeholders.

Data Engineering and Solutions: You'll use your engineering skills to design, build, and maintain scalable ETL and ELT data pipelines within the AWS ecosystem. This includes cleaning, transforming, and ingesting data from diverse sources, including third-party APIs, to ensure it is accurate and ready for analysis. You will be responsible for developing, scheduling, and monitoring complex workflows using Airflow (building and maintaining DAGs). You'll also work on developing scalable data solutions that meet client requirements, often defining pipeline-as-code and configurations using YAML.

Client and Stakeholder Management: You'll serve as a primary point of contact for internal and external stakeholders, developing a deep product understanding and taking technical ownership of specific data markets or domains. You'll use this expertise to understand business challenges, provide expert guidance on how to leverage data, and translate functional requirements into technical solutions. Strong communication and interpersonal skills are essential for presenting findings and collaborating with both technical and non-technical stakeholders.