Data Engineering Associate

Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering AI & Data, Digital Commerce, Marketing & Design solutions and Advisory services. The role is in the Data & Analytics team and involves engineering technical solutions and building operational data platforms for clients.

Responsibilities

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; Interact with senior stakeholders at our clients on regular basis to drive their business towards impactful change; Work with Data Scientists to take data throughout its lifecycle - acquisition, exploration, data cleaning, integration, analysis, interpretation, and visualization

Requirements

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; 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

Nice to have

Master's Degree is a plus; Basic knowledge of PowerBI is a plus

Benefits

Become part of a fast-growing international and diverse team; Collaborative environment with highly skilled multidisciplinary experts