Data Engineering Principal
Big data and analytics
Senior
Porto

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

  • A balanced work environment where you will have autonomy, responsibility, and ownership while working with a vibrant and dynamic team
  • A chance to work alongside more junior colleagues, which will allow you to improve your leadership skills, and more senior co-workers who will advise you on your further career development.
  • A modern office with everything you need (including food and beverages).

What You Will Do

  • Data Engineers identify data ingestion opportunities that unlock insights, extract them, and organize them in a way that’s widely available, scalable, and that answers any critical use case. You will also team up with data scientists to ensure a constant feed of fresh data into machine learning models and support the organization of any performance-related metrics and data.
  • Support our clients in executing their Big Data strategies by designing and building reusable components, frameworks, and libraries at scale to support analytics products.
  • Design, build and launch extremely efficient and reliable data pipelines to move data across several platforms including data warehouses, data lakes, operational systems, online services, and real-time systems.
  • Anticipate, identify, and solve issues concerning data management to improve data quality.
  • Organize and lead sharing sessions with peers, customers, and functional partners and contribute to evangelizing data engineering practices.
  • Guide and mentor new team members.
  • Collaborate closely with partners, strategy consultants, and data scientists in a flat and agile organization where personal initiative is highly valued.

What You’ll Bring

  • BA or MS in Computer Science, Information Technologies, or relevant fields.
  • 6-9 years of professional experience in software/data engineering domain.
  • Excellent command of English both verbal and written.
  • Proven experience in software development and practices and distributed programming with at least one programming language (e.g., R, Python, Java, or C#).
  • Proven experience in SQL & NoSQL.
  • Experience working setting up data lakes using entire Big Data (e.g., Hadoop, Spark, Presto, Hive, Impala, etc.) and DWH ecosystem.
  • Experience using Version Control, Testing and development cycle, preferable git (Gitlab or GitHub).
  • Comfortable with Unix OS type systems, Bash, and Linux.
  • Experience working on Hyperscalers – Azure, AWS, GCP.
  • Experience on data workflows and ETL, Apache Airflow.

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