3 months ago
Amsterdam, NetherlandsMid Level / Senior
Responsibilities
- Engineer complete technical solutions for digital marketing, e-commerce, Business Intelligence, and self-service analytics challenges.
- Collect functional and non-functional requirements while considering technical environments, business constraints, and enterprise organizations.
- Design and build operational data platforms, including ETL pipelines, data anonymization pipelines, data lakes, near-real-time streaming data hubs, and web services.
- Support clients in executing Big Data strategies and work with data scientists across the data lifecycle.
- Build or support training and scoring workflows for machine learning models.
- Collaborate with partners, strategy consultants, and data scientists in a flat organization.
- Provide technical training on data engineering and guide and mentor team members.
Requirements
- 3–4 years of experience in data analytics.
- Understanding of data warehousing principles and concepts, including ODS, data marts, data lakes, data vault, and 3NF.
- Advanced SQL, data transformation, and data profiling skills.
- Experience building production ETL/ELT pipelines at scale.
- 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 and Kubernetes.
- Programming experience with Python, PySpark, and scripting languages such as Bash.
- Knowledge of Git, Docker, and CI/CD operations.
- Basic Power BI knowledge is preferred.
- Bachelor’s degree in Computer Science, Mathematics, Economics, Engineering, Operations Research, Statistics, Business, or another related technical discipline; a master’s degree is a plus.
- Strong problem-solving, communication, collaboration, continuous-improvement, and engineering craftsmanship skills.
Benefits
- Full-time position in Amsterdam.
- Opportunity to interact regularly with senior client stakeholders.
- Participation in a fast-growing, international, and diverse team.
- Collaborative environment with multidisciplinary experts and opportunities for personal growth and impact.
About Metyis AG
Metyis AG is a privately held consulting firm that delivers AI and data analytics, digital commerce, marketing/design, and advisory services to enterprises. It partners with B2B and B2C clients to build data platforms, e‑commerce capabilities, and operating models, typically through long-term engagements. Founded in 2013 and headquartered in Baar, Zug, the company operates from 14 offices across Europe, India, and the Middle East.