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, streaming data hubs, web services, and machine learning model training and scoring systems.
- Support clients in executing Big Data strategies and collaborate with partners, strategy consultants, and data scientists.
- Share data engineering knowledge through technical training and guide and mentor team members.
Requirements
- 3–6 years of experience, including 3–4 years in data analytics.
- Understanding of data warehousing principles and concepts such as 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, Logic Apps, 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, CI/CD operations, and Docker.
- Basic Power BI knowledge is a plus.
- Strong problem-solving, collaboration, communication, and continuous-improvement skills.
- 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.
Benefits
- Full-time position based in Amsterdam.
- Opportunity to interact regularly with senior client stakeholders.
- Collaborative, international, and diverse team environment with opportunities for personal growth and meaningful impact.
- Work in a flat organization that values personal initiative, creativity, and multidisciplinary collaboration.
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.