Data Engineer

About the Engagement

• Use Python, SQL, and Airflow to develop reliable data pipelines that empower marketing stakeholders with timely, actionable data


• Be a good judge of when to delegate to AI, when to trust, and when to meticulously review AI-generated work


• Ensure data quality through validation, monitoring, and clear documentation


• Participate in code reviews and contribute to engineering best practices within the team


• Collaborate with the Product Owner and team to understand marketing stakeholders' data needs and translate them into technical solutions


• Contribute to the design, optimization, and continuous improvement of scalable data pipelines and infrastructure


• Understand data products deeply enough to independently investigate data questions, spot anomalies, and explain what the numbers mean to non-technical stakeholders 

About You

• 2–4 years of hands-on experience in data engineering


• Degree in Computer Science or a related field - candidates from Business or Marketing backgrounds with technical exposure are also welcome


• Solid experience with Python, CI/CD, Terraform, SQL, relational databases, and Git


• Familiar with ETL orchestration tools such as Airflow


• Naturally curious - comfortable digging into data independently to find the root cause, framing questions about data and developing deep domain expertise over time 


• Communicates well and works effectively with both technical and non-technical stakeholders; fluent in English 


• Preferred: experience with AWS, Docker, Kubernetes, or foundational marketing knowledge 

Callibration model

• Cooperation based on a service agreement (B2B/freelance contract), not an employment contract


• You will operate as an independent contractor, responsible for delivering agreed services and submitting invoices


• Location: open for contractors based in Poland