Manager, Data Engineering

Manager, Data Engineering

Sephora Digital Sea Pte. Ltd.
5-7 years
108000 - 156000 SGD

Job Description

Sephora, a division of LVMH - Mot Hennessy Louis Vuitton global luxury leader, is a global leader in beauty retailing. It successfully operates more than three thousand points of sale across Americas, Europe, Middle East, and Asia. Its aim is to animate the most loved beauty community in the world.

Sephora South East Asia is a high growth division of leading global beauty retailer, Sephora. Our teams run omnichannel retail businesses in Singapore, Malaysia, Thailand, Australia, New Zealand, and Hong Kong Franchise operations in India & Indonesia and ecommerce-only business (the first in the world globally for Sephora!) in the Philippines. We have recently opened new markets in Hong Kong and New Zealand as well!

Our success is built on innovation, a unique product portfolio, market-leading digital capabilities, and our exceptional people! With ambitious growth plans, we are always looking for talented people who are passionate about building businesses and developing themselves and our customers experience.

At Sephora, we stand together, and we stand for something more. Every day we reimagine beauty, discover new brands, and influence positive change. Data plays a big role in that.

We're a data-driven omni-channel business operating across 9 different markets in Southeast Asia with a special focus in ecommerce (our platform is built in-house!). The data team builds and maintains data management and AI capabilities to power both customer-facing services and internal data products. We manage a large-scale data platform in Google Cloud, relying heavily on BigQuery, Kubernetes and Terraform.

The data team is looking to hire a proactive, commercially savvy Manager, Data Engineer to make sure all our data users - be they analysts, end users or AI-driven systems, have access to the right data at the right time, and ensure its accuracy. You will play a key leadership role in the data team. You will be agile, adept at both work with Head of Data to shape up our data strategy but more critically work with the data team to realize the strategy, plan, build and ship data products, be a hands-on technical leader who will provide mentorship to the team, be an excellent culture ambassador both within and outside the team.

You will shine here if you enjoy

1. Build and scale the Data warehouse

Integrate data from various systems and platforms into the data warehouse. You will build scalable, reliable, test-driven data pipelines that ensure consistent, structured and reliable data for the organization.

Identify improvements to existing data architecture and data flows

2. Design and own the Data Schema

Design the Data Warehouse schema, ensure extensibility, clarity as new data sources are continuously integrated. You will oversee data reliability to build overall company trust in data to be more data-driven.

3. Engineering Leader

You will promote and ensure technical excellence within the team. You are passionate about culture and quality of engineering, strive to continuously improve quality and delivery of the team. You will support automated data infrastructure, upgrade monitoring and security initiatives.

4. Enable other functions & Teams

You will enable data science initiatives, supporting the data pipelines, API development, deployment and such. You will actively look for opportunities for better leverage of data to better the organization.

5. Team Player

Provide individual and team leadership and technical knowledge to the data team to ensure they grow their capabilities. You will identify and improve as a team, both technical and non-technical productivity impediments. You will represent the team to other stakeholders with the technology team and beyond.

We would love to hear from you if you have

. Degree of a quantitative nature such as Computer Science/Data Science/Statistics/Mathematics/Economics/Engineering or relevant experience

. 5 years of working experience and particularly with BigQuery and/or any Data Science experience and experience managing a team in agile manner would be great

. Technical proficiency at least a few of Python, Golang, Node

. Expertise in SQL, Data Modelling and Data Warehouse structures is mandatory

. Excellent communication, interpersonal and cross functional stakeholder management skills

. Experience with building or working with Big Data flows and Pipelines, and understanding of size and performance constraints is highly valued.

. Experience with Cloud Services and Data Warehousing services (Amazon Web Services or Google Cloud) is highly valued.

. Entrepreneurial at heart and able to work in a fast-paced environment with company members and third-party vendors from highly diverse backgrounds.

. You are a natural mentor and have a sense of knowledge sharing and focus on individual personal development

. In addition, you have

o Good understanding of columnar databases

o Experience in building software as a team

o Understanding of distributed data processing frameworks like Apache Spark or Beam

o Familiarity with infrastructure automation tools

While at Sephora, you'll enjoy

The people: You will be surrounded by some of the most talented, supportive, and kind leaders and teams - people you can be proud to work with.

The learning: We invest heavily in training for our leaders and store associates. Not just product knowledge but building a personalized career plan with you so you continue to evolve and build your skills.

The culture: As a leading beauty retailer, backed by the LVMH luxury brand, our reach is broad, and our impact is global. Yet there's always room to explore. It's in our DNA to innovate and, at Sephora, all 40,000 passionate team members are united by a common goal - to reimagine the future of beauty. You can unleash your creativity, because we've got disruptive spirit. You can learn and evolve, because we empower you to be your best. You can be yourself, because you are what sets us apart. This is the future of beauty. Reimagine your future, at Sephora.

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