Data Engineering Associate

What we offerDevelop your professional career working with one of the major brands in the fashion industryOpportunity to accelerate the pace of digitalization & eCommerce growth through advanced technology, business intelligence, and analyticsDriving high-impact insights enhances decision-making across the entire organizationDriving brand equity and digital sales through enhanced digital experiencesInteraction with senior business and eCommerce leaders regularly to drive their business toward impactful changeBecome part of a fast-growing international and diverse teamWhat you will do Data Engineers identify data ingestion opportunities that unlock insights, extract it and organize it 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 on the organisation 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.Participate in sharing sessions with peers, customers and functional partners and contribute to evangelising data engineering practices.What you’ll bring 3+ years of work experience.Proven experience in software development and practices with at least one programming language (e.g., Python, Java or C#). Proven experience modelling data to discover opportunities and address gaps. Proven experience in building data pipelines within data ingestion projects using data flows management platforms (e.g., Airflow, Google Cloud Composer, Azure Data Factory). Ability to work in the English language with strong written and oral communication skills. Proven experience with cloud platforms (e.g., Azure, Google Cloud Platform and/or AWS) Proven experience querying massive datasets using Spark, Presto, etc. Proven experience with designing and implementing real-time pipelines.In a changing world, diversity and inclusion are core values for team well-being and performance. At Metyis, we want to welcome and retain all talents, regardless of gender, age, origin or sexual orientation, and irrespective of whether they are living with a disability, as each of them has their own experience and identity.