Data Engineering Associate
Porto, Porto, Portugal
Metyis
We are a dynamic and forward-thinking consultancy firm that operates across a wide range of industries, creating solutions that are tailored to specific needs. We bring long-lasting impact and growth to our partners and clients. We are Metyis....Metyis is growing! We are looking for a Data Engineering Associate to join our data and analytics team in Porto. The ideal candidate should have 3+ years of professional experience.
Requirements
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
Develop your professional career working with one of the major brands in the fashion industry
Opportunity to accelerate the pace of digitalization & eCommerce growth through advanced technology, business intelligence, and analytics
Driving high-impact insights enhances decision-making across the entire organization
Driving brand equity and digital sales through enhanced digital experiences
Interaction with senior business and eCommerce leaders regularly to drive their business toward impactful change
Become part of a fast-growing international and diverse team
What 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow AWS Azure Big Data Business Intelligence Data management Data pipelines Data quality E-commerce Engineering GCP Google Cloud Java Machine Learning ML models Pipelines Python Spark
Perks/benefits: Career development
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