What we offer
A balanced work environment where you will have autonomy, responsibility, and ownership while working
Be part of a fast-growing company that helps businesses leverage data analytics for better decision-making.
Collaborate with a highly skilled, dynamic, and supportive team.
Opportunities for career growth and continuous learning in analytics and consulting.
Competitive salary and benefits package, including training, mentorship, and travel opportunities.
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
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).
At Metyis, we are driven by curiosity and collaboration. We value diversity, equity, inclusion, and belonging (DEIB) in all its forms as it makes us stronger as an organisation and promotes creativity and innovation. We welcome all talents and are committed to creating a workplace where every employee can make a meaningful impact and grow.