9 дней назад
Data Engineer (Marketing Data)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineer (Marketing Data) (Python/SQL/Airflow): Building reliable data pipelines and data products that support marketing budget decisions and marketing attribution with an accent on data quality, scalable infrastructure, and stakeholder-focused analytics. Focus on designing ETL pipelines, validating and monitoring data, investigating anomalies, and explaining insights to non-technical marketing stakeholders.
Location: Contractors must be based in Poland
Company
operates a fast-growing mobility platform supported by data-driven marketing and technology products.
What you will do
- Develop reliable data pipelines and products using Python, SQL, and Airflow.
- Build data solutions that support marketing budget decisions and marketing attribution.
- Ensure data quality through validation, monitoring, documentation, and anomaly investigation.
- Design, optimize, and continuously improve scalable data pipelines and infrastructure.
- Collaborate with the Product Owner and marketing stakeholders to translate data needs into technical solutions.
- Participate in code reviews and apply engineering best practices, including careful review of AI-generated work.
Requirements
- 2–4 years of hands-on experience in data engineering.
- Solid experience with Python, SQL, CI/CD, Terraform, relational databases, and Git.
- Familiarity with ETL orchestration tools such as Airflow.
- Degree in Computer Science or a related field, or a Business/Marketing background with technical experience.
- Fluent English is required.
- Must be based in Poland as an independent contractor.
Nice to have
- Experience with AWS, Docker, or Kubernetes.
- Foundational marketing knowledge.
Culture & Benefits
- Freelance engagement based on a B2B/service agreement rather than an employment contract.
- Independent contractor status with responsibility for delivering agreed services.
- Invoice-based cooperation.
- Collaboration with technical and non-technical stakeholders in a marketing data team.
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