17 часов назад
Data Engineering Lead (Fashion)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineering Lead (Fashion) (Azure/Python/Spark): Building scalable data platforms, ETL/ELT pipelines, data products, APIs, recommendation systems, data lakes, and dashboards for a fashion technology platform with an accent on cloud architecture, data governance, and advanced analytics. Focus on leading technical roadmaps, designing production-grade data architectures, coaching engineers, and integrating data science capabilities across the data lifecycle.
Location: Porto, Portugal
Company
develops solutions in Big Data, Digital Commerce, Marketing, Design, and Advisory services, and works with HUGO BOSS on the HUGO BOSS Digital Campus.
What you will do
- Lead and implement client technical roadmaps in alignment with technology and architecture strategies.
- Own the architecture and ensure technical and non-technical components work together to meet customer needs.
- Lead digital development and operations using Python, Spark, RESTful APIs, and Microsoft Azure Cloud.
- Deliver data platforms, data insights, dashboards, data lakes or hubs, and data products such as recommendation systems.
- Drive technical excellence, engineering standards, digital frameworks, and best practices.
- Coach product team members and lead project activities in collaboration with stakeholders and data scientists.
Requirements
- 5–8 years of experience in a similar data engineering or technical leadership role.
- Experience developing and deploying ETL solutions on Azure, GCP, or AWS, including production ETL/ELT pipelines at scale.
- Strong knowledge of data warehousing, data transformation, data profiling, advanced SQL, and data governance.
- 3–5 years of hands-on Azure experience with Data Factory, Databricks, Synapse, Azure Functions, App Logic, and streaming analytics services.
- Experience with automated unit and integration testing, cloud architecture, GitHub or similar, and CI/CD workflows.
- People management experience with a team of at least two members, plus service consulting and stakeholder management experience.
Nice to have
- Experience with Airflow, Kubernetes, or Great Expectations.
- Basic knowledge of Power BI.
- A Master's degree in a relevant technical discipline.
Culture & Benefits
- Work with senior client stakeholders to drive measurable business change.
- Take ownership of end-to-end data handling, management, and analytics processes.
- Join an international and diverse team with more than 50 nationalities.
- Work in an environment focused on curiosity, collaboration, diversity, equity, inclusion, belonging, and continuous improvement.
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