Data Engineering Associate

Metyis is growing! We are looking for a Data Engineering Associate with 3 - 6 years of experience for a full-time position to join our Data and Analytics team in Amsterdam.

Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering Big Data, Digital Commerce, Marketing & Design solutions and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities.

What we offer

• Interact with senior stakeholders at our clients on regular basis to drive their business towards impactful change.
• Working with Data Scientists to take data throughout its lifecycle - acquisition, exploration, data cleaning, integration, analysis, interpretation, and visualization.
• Become part of a fast-growing international and diverse team.

What you will do

• Engineer complete technical solutions to solve concrete business challenges in the areas of digital marketing, e-commerce, Business Intelligence, and self-service analytics.
• Collect functional and non-functional requirements, consider technical environments, business constraints, and enterprise organizations.
• Support our clients in executing their Big Data strategies by designing and building operational data platforms: ETL pipelines, data anonymization pipelines, data lakes, near real-time streaming data hubs, web services, training and scoring machine learning models.
• Collaborate closely with partners, strategy consultants, and data scientists in a flat and agile organization where personal initiative is highly valued.
• Share data engineering knowledge by giving technical training.
• Guide and mentor team members.

What you will bring

• 3-4 years of experience in data analytics.
• Understanding of data warehousing principles, concepts and best practices (e.g. ODS, data marts, data lakes, data vault, 3NF).
• Advanced SQL, data transformation and data profiling skills.
• Experience of building production ETL/ELT pipelines at scale.
• 1-2 years of hands on experience with Azure: Data factory, Databricks, Synapse (DWH), Azure Functions, App logic and other data analytics services, including streaming.
• Experience with Airflow and Kubernetes.
• Programming languages: Python (PySpark), scripting languages like Bash.
• Knowledge of Git, CI/CD operations and Docker.
• Basic knowledge of PowerBI is a plus.
• True engineering craftsmanship mindset.
• Passionate about continuous improvement and working collaboratively.
• Strong problem-solving skills, coupled with the ability to convey designs and ideas to a wider audience.
• Bachelor's Degree in Computer Science, Mathematics, Economics, Engineering, Operations Research, Statistics, Business or other related technical disciplines (Master's Degree is a plus).