Data Engineer
Big data and analytics

Who we are

We are Metyis, a forward-thinking, global company that collaborates with business partners and clients to create and implement the capacities and capabilities required to improve future performance. We operate across a wide range of industries, and with our embedded partnership model we commit to driving sustainable growth for industry-leading organisations, elevating their potential with a long-term vision.

At Metyis, we develop integrated solutions that enable growth by working within our business partners’ organisations with diverse and multidisciplinary teams. This collaborative environment allows Metyis to build strategies and execute them through an ecosystem that combines Big Data solutions, Digital Commerce solutions, Marketing & Design solutions, and Advisory services.

Our teams are set up so that you have plenty of room to build bigger and bolder ideas by speaking your mind and being creative with your knowledge. Imagine the things you could achieve with a multidisciplinary team that encourages you to be the best version of yourself.

We are Metyis. Partners for Impact.

What we offer

  • Enjoy a high level of responsibility and immediate client interactions under the guidance of senior team members.
  • Interact with data engineers on regular basis to drive innovation and create impact on our clients
  • Help our clients to target, measure and improve mission-critical business metrics and generate demonstrable return on investment.
  • Become part of a fast growing international and diverse team

What you will do

  • Work in a multi-disciplined team where you will turn data discoveries and ideas into models and insights.
  • You’ll find how to leverage the data and the models to create and improve products for our customers, in lean development cycles.
  • Be able to implement/build methodologies as well as (understand how to) scale them together with the businesses;
  • Maintain a good, current and demonstrable knowledge of adjacent application and market developments both for inspiration and for benchmarking the concepts.
  • Ingest data-sources into our data management platforms
  • Structure data into a scalable and easily understood architecture

What you’ll bring

  • 5+ years of work experience in data engineering & modelling 
  • 3+ years of work experience with AWS cloud solutions for analytics & infra  
  • 2+ years of experience with data pipeline management using Apache Airflow 
  • Extensive knowledge of SQL, Spark & Python 
  • Certified as an AWS Solutions Architect and/or in AWS Data Analytics is a plus 
  • Experience with CI/CD, Terraform, Containerization & Gitlab 
  • Experience with Hadoop Ecosystem components 
  • Experience with Linux/Unix & Networking Technologies 
  • Experience with AWS security/access management 
  • Good understanding of AI & Machine Learning Aspects & ML Ops 
  • Strong troubleshooting and debugging skills, with a passion for problem solving and investigation 
  • Ability to coordinate with cross-functional team members and to work in an agile way 
  • Strong English communication skills; the ability to convey complex analysis results clearly and with conviction to all levels of stakeholders 
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