обновлено 11 дней назад
Data Engineering Associate
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineering Associate (Azure/Data Platforms): Building operational data platforms and complete technical solutions for digital marketing, e-commerce, Business Intelligence, and self-service analytics with an accent on ETL/ELT pipelines, data lakes, streaming hubs, and machine learning services. Focus on designing scalable data architectures, integrating Azure services, and translating business and technical requirements into production systems.
Location: Amsterdam, Netherlands
Company
is a global consulting firm delivering AI and data, digital commerce, marketing and design, and advisory solutions across multiple industries.
What you will do
- Engineer technical solutions for digital marketing, e-commerce, Business Intelligence, and self-service analytics challenges.
- Collect functional and non-functional requirements while accounting for technical environments, business constraints, and enterprise structures.
- Design and build operational data platforms, including ETL pipelines, data anonymization pipelines, data lakes, streaming data hubs, web services, and machine learning model training and scoring systems.
- Collaborate with partners, strategy consultants, and data scientists in a flat, agile organization.
- Share data engineering knowledge through technical training and mentor team members.
Requirements
- 3–4 years of experience in data analytics.
- Knowledge of data warehousing principles, including ODS, data marts, data lakes, data vault, and 3NF.
- Advanced SQL, data transformation, data profiling, and production ETL/ELT pipeline development skills.
- 1–2 years of hands-on experience with Azure Data Factory, Databricks, Synapse, Azure Functions, App Logic, and other data analytics services, including streaming.
- Experience with Airflow, Kubernetes, Git, CI/CD, and Docker.
- Programming experience with Python, PySpark, and Bash, plus a relevant bachelor's degree.
Nice to have
- Basic knowledge of Power BI.
- A master's degree in a relevant technical discipline.
Culture & Benefits
- Collaborative environment with multidisciplinary experts.
- Regular interaction with senior client stakeholders.
- International and diverse team.
- Flat and agile organization that values personal initiative, curiosity, collaboration, and continuous improvement.
- Commitment to diversity, equity, inclusion, and belonging.
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