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Data Engineer & Analytics Engineer

Decathlon Singapore

Singapore

On-site

SGD 80,000 - 100,000

Full time

Yesterday
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Job summary

A leading sports retail company in Singapore is looking for a Data Engineer / Analytics Engineer to bridge raw data and business impact. You will design and optimize data pipelines while collaborating with business teams. The ideal candidate has a Bachelor’s degree, advanced Python and SQL skills, and at least 2 years of experience in data engineering. Join us in making smarter decisions through data analysis in a dynamic and sporty environment.

Benefits

Monthly bonus based on sales performance
Comprehensive medical and insurance coverage
Flexible spending allowance for health-related expenses
Staff discount across all products

Qualifications

  • Minimally 2 years of working experience as a data engineer with a focus on quality and scalability.
  • Experience with DBT is a huge plus.
  • Solid experience with AWS and GCP for data management.

Responsibilities

  • Design, build and optimize large scale DBT projects.
  • Collaborate with business teams to improve existing tools.
  • Actively contribute to the data engineering community.

Skills

Advanced Python
SQL
DBT
Intermediate Spark
AWS
GCP
DevOps
Automation
Communication skills
Problem-solving

Education

Bachelor’s Degree in Computer Science, Engineering, Data Science & Analytics or related fields

Tools

Databricks
BigQuery
Github
Job description

Love Sport? Driven by Data? Ready to Own Your Impact?

At Decathlon, our purpose is "Move People through the Wonders of Sport". We're not just a retailer; we're a global community united by a passion for sport and innovation. In Singapore and across APAC, we're building the future of sport experiences, leveraging data to make smarter decisions every single day.

To help us with this mission, we're seeking an exceptional Data Engineer / Analytics Engineer in Singapore to tackle real-world data challenges.

As a Data Engineer / Analytics Engineer at Decathlon SG, you are the critical bridge between raw data and business impact. You don’t just “move” data; you architect the systems that power decisions across our stores, ecommerce, and logistics across Singapore and APAC, ensuring our data is scalable, cost-effective and trusted.

What you will do
  • Design, build and optimize large scale DBT projects, acting as the core point of contact for DBT across the region
  • Design, build and optimize production-grade data pipelines and solutions to unlock data from web-scrapers, store operations, and ecosystem partners.
  • Design, build and optimize CICD workflows to increase developer efficiency, improve cloud performance and manage AWS & GCP infrastructure
  • 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, data use and data driven decision making
  • Actively contribute to the data / analytics engineering community
Must Have:
  • Bachelor’s Degree in Computer Science, Engineering, Data Science & Analytics or other related fields
  • Minimally 2 years of working experience as a data engineer, building production grade data pipelines and wrangling large amount of data with a focus on quality and scalability
  • Experience with DBT is a huge plus
  • Advanced Python and SQL skills - you are able to write modular, well documented and scalable codes
  • Intermediate Spark (preferably pySpark) and SQL (Databricks, BigQuery)
  • Solid experience with AWS and GCP, specifically with focus on cloud based data warehousing and data management
  • DevOps and automation skills with Github or other CI/CD frameworks
  • Strong communication and conceptual problem-solving skills
  • Business focus and drive for impact
Nice to have:
  • Experience building APIs and small apps with Flask, FastAPI, or similar frameworks
  • Experience in build dashboards and BI solutions like Tableau or PowerBI
  • Experience with Airflow and Databricks
  • Experience in Data Science & Machine Learning
Who are we looking for?
  • Sport enthusiast and actively practicing a sport!
  • Self-starter with an ownership mindset, ability to strive in a fast-growing environment
  • Comfortable with ambiguity and willing to work on a wide range of topics not only confined to data engineering (e.g. dashboards, ML pipelines, webscraping)
  • 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

💰 A Remuneration That Grows With You:

  • Salary in accordance with your experience
  • Monthly bonus based on sales performance - up to 10%.
  • Dive into the opportunity to become a Shareholder and share in the success of our global family.
  • At the end of the year, reap the rewards of profit sharing based on the performances across the country.

🚀 Climb the Career Ladder:

  • Elevate your skills with the power of our internal Decathlon Academy – upskill and re-skill your way to greatness.
  • Chart your course with local and global career progression opportunities (Zig-zag and/or specialization) in retail, procurement and support team.

❤️ Because We Care About You:

  • We've got your well-being covered with comprehensive medical and insurance coverage.
  • Enjoy a flexible spending allowance annually for Sports & Health related expenses, including dental, vision and wellness activities;
  • Enjoy staff discount across ALL Decathlon products

🏋️♀️ Sports, Community, and Bonding:

  • Kick off those shoes and join in the sports fun after work or during team meetings.
  • Immerse yourself in a vibrant community of like-minded, sporty individuals just like you!

At Decathlon, we're not just a workplace – we're a lifestyle, and we want you to experience the very best. Join us and let's conquer the world of sports together! 🌟🏆🎉

By applying, you undertake that any information you submit will be accurate and complete and you confirm that you have read, understood, and agree to our Privacy Policy (https://www.decathlon.sg/s/privacy-policy) and hereby consent to the collection, use and disclosure of your personal data in accordance with the Privacy Policy.

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