Data Engineering Lead

Who We Are

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 C-level at our clients on regular basis to drive their business towards impactful change.
• Lead your team in creating new business solutions.
• Seize opportunities at the client and at Metyis in our entrepreneurial environment.
• Become part of a fast-growing international and diverse team.

What You Will Do

• Independently lead & manage execution of data engineering projects
• Engineer complete technical solutions to solve concrete business challenges in the areas of digital marketing, eCommerce, 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.
• Troubleshoot and quality check work done by team members
• 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 trainings
• Communicate and interact with clients at the executive level
• Guide and mentor team members

What You Will Bring

• 7-10 years of professional hands-on experience
• A broad practice in multiple software engineering fields
• Experience on managing & leading data engineering / warehousing projects
• Must have experience on Python, SQL and Distributed programming languages, preferable Spark
• Experience working on Cloud, Azure is a plus
• Experience working setting up data lakes using entire Big Data and DWH ecosystem
• Experience on data workflows and ETL, Apache Airflow is a plus
• Comfortable with Unix OS type systems, Bash and Linux
• Basic knowledge of webservices and APIs
• Basic knowledge of Containers and Docker as platform
• Experience using Version Control, Testing and development cycle, preferable git (Gitlab or GitHub)
• Knowledge of security practices
• Software development practices (Agile)
• A Strong Focus On Data Processing
• Object oriented programming
• Data workflows, monitoring, architecture and security
• Databases: theory and practice
• Distributed data processing
• Concepts of functional programming
• Enterprise data warehousing, business intelligence and ETL principles
• Good written and oral communication skills in English language