Metyis is growing. We are looking for a Data Engineering Associate with 3-4 years of experience to join our Data and Analytics team in London.
Who we are
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. Our long-term partnership model aims to create lasting impact and growth for our business partners and clients through extensive execution capabilities.
Join our team to experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has the opportunity to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge. Imagine what you can achieve with a team that encourages you to be the best version of yourself.
We are Metyis. Partners for Impact.
What we offer
Interact with senior stakeholders at our clients regularly to drive impactful business change.
Work with Data Scientists to manage data throughout its lifecycle - acquisition, exploration, cleaning, integration, analysis, interpretation, and visualization.
Become part of a fast-growing, international, and diverse team.
What you will do
Engineer technical solutions to solve concrete business challenges across various domains.
Gather functional and non-functional requirements, considering technical environments, business constraints, and organizational needs.
Support 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, and machine learning models for training and scoring.
Collaborate closely with partners, strategy consultants, and data scientists in an agile environment that values personal initiative.
Share knowledge by providing technical training on data engineering topics.
Guide and mentor team members.
What you will bring
3-4 years of experience in data engineering.
Understanding of data warehousing principles, concepts, and best practices (e.g., ODS, data marts, data lakes, data vault, 3NF).
Advanced SQL skills, including data transformation and profiling.
Experience building scalable production ETL/ELT pipelines.
1-2 years of hands-on experience with Azure services such as Data Factory, Databricks, Synapse (DWH), Azure Functions, and other data analytics tools, including streaming.
Experience with Airflow and Kubernetes.
Programming skills in Python (PySpark) and scripting languages like Bash.
Knowledge of Git, CI/CD operations, and Docker.
Basic PowerBI knowledge is a plus.
Experience deploying cloud infrastructure is desirable.
Understanding of Infrastructure as Code is beneficial.
Strong engineering craftsmanship mindset.
Passion for continuous improvement and collaboration.
Strong problem-solving skills and the ability to communicate designs and ideas effectively.
Bachelor's Degree in a relevant technical discipline; a Master's Degree is a plus.
At Metyis, diversity and inclusion are core values. We welcome talents of all backgrounds, regardless of gender, age, origin, sexual orientation, or disability, recognizing that each individual's experience and identity enrich our team.