Senior Fullstack Engineer

Join a fast-growing team at Metyis

The next step of your career starts here, where you can bring your own unique mix of skills and perspectives to a fast-growing team.

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. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities.

With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge. Imagine the things 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 on regular basis to drive their business towards impactful change.
• Become the go-to person for end-to-end data handling, management and analytics processes.
• Lead your team in creating the pipeline for Data management, data visualization and analytics products, including automated services and APIs.
• Become part of a fast-growing international and diverse team

What you will do

• Work on a company-wide batch & streaming data processing framework that can be viewed as a software application as part of an IT-Analytics team of data engineers.
• Design, develop, test, and deploy software & data pipelines using various batch & streaming technologies, and automate & monitor CI/CD/CT pipelines for an Azure based Data Platform.
• Optimize existing code for performance, reliability, and scalability.
• Debug and troubleshoot issues and provide technical support as needed.
• Follow best practices and standards for coding, documentation, testing, and security.
• Mentor and provide technical guidance to other data professionals, fostering a culture of knowledge sharing and continuous learning.
• Be proactive and be willing to work closely with Data Science, DevOps/MLOps, Cloud Infrastructure, or IT-Security colleagues.
• Research and evaluate new technologies and trends to improve existing software or create new solutions

What you’ll bring

• From 3 to 8 years of professional software development experience using languages such as Python, Spark, SQL, Scala, or Rust.
• Strong knowledge of cloud technology such as Microsoft Azure, or GCP.
• Strong knowledge of all-in-one analytics platforms such as Databricks, or Microsoft Fabric.
• Strong knowledge of data pipeline orchestration platforms such as Azure Data Factory, or Control-M.
• Experience in using data warehouse and data lake solutions such as SAP BW and Azure Data Lake