Tech @DFS

Join the Tech@DFS team, where data meets innovation! As we drive DFS 2.0—powered by data, digital, and technology, we’re looking for a Data Engineering Manager to join our dynamic Data & AI team in Singapore. If you’re excited by the intersection of luxury retail, travel and tech and are passionate about leveraging data to drive strategic decisions, this role is for you. You’ll collaborate with product owners, IT partners, and business leaders to shape and execute an Analytics roadmap, delivering scalable data solutions that empower decision-making. From business analysis and solution design to vendor selection and implementation, you’ll play a key role in transforming how DFS harnesses data. If you're a self-starter, results-driven, and passionate about technology, this is your chance to shape the future of analytics in luxury travel retail and drive DFS’s evolution into a truly data-powered enterprise.

What you will be doing?

Lead and own end-to-end data projects—from understanding business needs to designing, implementing, and delivering scalable, automated data solutions that drive impact.

Act as the go-to data expert, providing technical and strategic guidance to business users, solving complex data challenges, and ensuring high-quality analytics solutions.

Collaborate with cross-functional teams, including product owners, architects, IT partners, and business stakeholders, to define data strategies and execute proof-of-concept (PoC) initiatives for new technologies and methodologies.

Manage and engage with third-party vendors and technology partners, ensuring seamless integration, performance optimization, and risk mitigation.

Play a key role in increasing the organization’s data maturity, driving adoption of best practices, governance frameworks, and scalable data architectures that empower self-service analytics.

What are the Requirements?

Education & Experience: Bachelor’s degree in Engineering, Computer Science, or equivalent, with 8+ years of experience in Data Analytics, Data Warehousing, or Business Intelligence.

Strong SQL skills with expertise in MPP databases (Snowflake, BigQuery), RDBMS (PostgreSQL, MSSQL), and NoSQL databases (Cosmos DB, Elasticsearch).

Hands-on experience with ETL/ELT pipeline development, using tools like dbt, Airflow, and Kubernetes.

Familiarity with distributed data processing frameworks (Spark, Hadoop, Flink) and real-time messaging systems (Kafka, Azure Event Hub).

Experience with CI/CD pipelines using GitHub Actions and deploying analytics solutions in cloud environments (Azure, Alicloud, GCP).

Familiarity with BI tools such as PowerBI, Microstrategy, or Tableau.

Ability to translate business needs into scalable data solutions and influence cross-functional teams.

Experience in a multi-vendor, geographically distributed environment with strong vendor management capabilities.

Proven track record of leading data-driven initiatives, improving data maturity, and supporting production systems.

The Ideal Candidate

The ideal candidate is a strategic thinker who balances technical excellence with business impact, excelling in fast-paced, complex environments as a natural problem solver. They are a collaborative team player with the ability to influence cross-functional stakeholders while staying ahead of the curve on AI, data trends, and emerging technologies. A lifelong learner with a passion for innovation, they bring a forward-thinking approach to every challenge. Experience in luxury retail, e-commerce, or logistics is a plus.