Job description

At Decathlon, we live our common purpose on a daily basis: “to make the pleasure and benefits of sport accessible to the many”. In over 50 countries where we are present, we share a strong and unique company culture, reinforced by our four values: Vitality, Responsibility, Authenticity and Generosity.

In Hong Kong, we are building projects that improve lives through sport. We place innovation and technology at the heart of our activities: from research to retail, including design, production and logistics. Decathlon currently has 5 stores in Hong Kong, Decathlon App and a lot more to come.

Your role:
As a Data Engineer/Analytics Engineer at Decathlon HK you will be building robust and scalable data pipelines, APIs, self service BI applications, process automation tools and much more to unlock value across all business areas, from store operations over marketing to e-commerce.

You will be part of a full stack data team consisting of data analysts, data scientists and product owners while being embedded within a large international network of 300+ data practitioners.

We have a global data lake and data infrastructure managed by a central team meaning you can focus on activities that have a direct and tangible impact to our daily business and tap in to a treasure trove of structured and unstructured data collected in our worldwide stores, websites, mobile apps, warehouses, R&D facilities and ecosystem partners.

Roles & Responsibilities

Collaborate with business teams to identify solutions, clarify requirements and improve existing tools you help teammates develop a data driven mindset

Be an advocate and key contact for automation and data use throughout the business

Conceptualise, develop, deploy and maintain new data pipelines, APIs and self service BI apps in accordance with modern best practices - you are in charge of your solutions release, maintainability and performance

Maintaining and rethinking existing data pipelines and solutions to serve a wider audience and new use cases

Actively contribute to the data/analytics engineering community

Be an advocate for data driven decision making

Experiences & Requirements

Must have:
At least 2 years data engineering experience building production grade data pipelines and wrangling large amounts of data with a focus on quality and scalability

Advanced to expert python skills - you are able to write modular and scalable code be it for a data pipeline an API or a web scraper

Intermediate to advanced Spark (preferably pySpark) and SQL (Redshift & BigQuery)

Solid experience with AWS & GCP (we use both) or other cloud environments, specifically with focus on cloud based data warehousing and data management

DevOps and automation skills - Workflow scheduling, Containers, CI/CD, Testing & monitoring

Experience building APIs and small apps with flask, FastAPI or similar frameworks

Nice to have

Experience building Dashboards and BI solutions

Experience with Jenkins and Airflow

Experience in Data Science and Machine Learning

What you bring

Passionate for sports & data

Self-starter with an ownership mindset and the ability to strive in a fast growing environment

Comfortable with ambiguity and willingness to work on a wide range of topics not only confined to data engineering (e.g. Dashboards, ML pipelines, web scraping)

Responsible and reliable with high standards and attention to details

Team player who enjoys working in a collaborative and open environment

Excellent written and verbal communication skills in English

What you can expect:
Great working environment with a focus on openness and personal development

A young team of sport enthusiasts and doers

Office in central MK

Loads of data

Shareholding scheme

Monthly bonus

Regular team sport activities

Sport allowance

Company discount

If you are interested, please share your CV with us here!

Disclaimer: Decathlon Hong Kong Ltd.does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor. All information collected will be used for recruitment purpose only.

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