Data Engineering Associate Porto

Data Engineering Associate
Porto
Porto, Porto District, Portugal

Develop your professional career working with one of the major brands in the fashion industry.

Opportunity to accelerate the pace of digitalization & e
Commerce growth through advanced technology, business intelligence, and analytics.

Driving
- impact insights enhances
- making across the entire organization.

Driving brand equity and digital sales through enhanced digital experiences.

Interaction with senior business and e
Commerce leaders regularly to drive their business toward impactful change.

Become part of a
- growing international and diverse team.

What you will do

1. 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.
2. You will also team up with data scientists to ensure a constant feed of fresh data into machine learning models and support on the organization of any
   - related metrics and data.
3. Support our clients in executing their Big Data strategies by designing and building reusable components, frameworks and libraries at scale to support analytics products.
4. 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
   - time systems.
5. Anticipate, identify and solve issues concerning data management to improve data quality.
6. Participate in sharing sessions with peers, customers and functional partners and contribute to evangelizing data engineering practices.

What you’ll bring

1. 3+ years of work experience.
2. Proven experience in software development and practices with at least one programming language (e. g. , Python, Java or C#).
3. Proven experience modeling data to discover opportunities and address gaps.
4. Proven experience in building data pipelines within data ingestion projects using data flows management platforms (e. g. , Airflow, Google Cloud Composer, Azure Data Factory).
5. Ability to work in the English language with strong written and oral communication skills.
6. Proven experience with cloud platforms (e. g. , Azure, Google Cloud Platform and/or AWS).
7. Proven experience querying massive datasets using Spark, Presto, etc.
8. Proven experience with designing and implementing
   - time pipelines.

In a changing world, diversity and inclusion are core values for team
- 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.