Data Engineering Principal

Data & Analytics

Senior

London

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
Step-change your career path by becoming a key player in a significant multi-national consulting firm

What you will do

Independently lead and manage the design and execution of data engineering projects
Support our clients in executing their 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 model operationalization
Engineer complete technical solutions to solve concrete business challenges in the areas of digital marketing, eCommerce, Business Intelligence and self-service analytics
Troubleshoot and QA work done by team members and ensure data engineering best practice
Collaborate closely with partners, strategy consultants and data scientists in a flat and agile organization where personal initiative is highly valued
Advise clients on the implementation of effective data governance processes
Lead knowledge sharing sessions with peers, client prospects and clients
Communicate and interact with clients at the executive level
Guide and mentor team members

What you’ll bring

BSc or MSc in Computer Science, IT or relevant fields desirable
8+ years of professional experience in the Data Engineering domain
Excellent command of both verbal and written English
The ability to draw inferences from data that is complex and diverse in nature
Experience designing and setting up modern data lake architectures
Proven experience in SQL
Experience using Version Control (e.g. Git), Testing, and CI/CD
Experience in the automation of data quality monitoring
Experience of creating data workflows on one of the leading cloud platforms – Azure, AWS, or GCP
Knowledge of good data governance practices across the data lifecycle