Data Engineer Associate

Big data and analytics

Mid

Amsterdam

Who we are

We are Metyis, a forward-thinking, global company that collaborates with business partners and clients to create and implement the capacities and capabilities required to improve future performance. We operate across a wide range of industries, and with our embedded partnership model we commit to driving sustainable growth for industry-leading organisations, elevating their potential with a long-term vision.

At Metyis, we develop integrated solutions that enable growth by working within our business partners’ organisations with diverse and multidisciplinary teams. This collaborative environment allows Metyis to build strategies and execute them through an ecosystem that combines Big Data solutions, Digital Commerce solutions, Marketing & Design solutions, and Advisory services.

Our teams are set up so that you have plenty of room to build bigger and bolder ideas by speaking your mind and being creative with your knowledge. Imagine the things you could achieve with a multidisciplinary team that encourages you to be the best version of yourself.

We are Metyis. Partners for Impact.

What we offer

Enjoy a high level of responsibility and immediate client interactions under the guidance of senior team members.
Help our clients to target, measure, and improve mission-critical business metrics and generate a demonstrable return on investment.
Collaborate closely with partners, strategy consultants, and data engineers in a flat and agile organization where personal initiative is highly valued.
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’ll bring

1-5 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 in building production ETL/ELT pipelines at scale.
1-5 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.
Customer-centric, passionate about delivering great digital products and services.
Demonstrating 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.
Comfortable with ambiguity, highly autonomous.
A Bachelor's Degree in Computer Science, Mathematics, Economics, Engineering, Operations Research, Statistics, Business or other related technical disciplines (Master's Degree is a plus).