Apply for Manager, Data Engineering Role at Lidl Asia Pte. Limited

Singapore Job Openings

Lidl Asia Pte. Limited

Manager, Data Engineering

Queenstown Estate

FULL TIME

September 2, 2024

Summary

The objective of the role is to lead, architect and manage the technology eco-system of LK Asia Data Platform and integrate with IT Enterprise Architecture along side business controlling that supports the organization’s vision, mission, and strategy.

What you'll do

The holder of the position is mainly responsible for the following areas in coordination with his / her superior:
Lead and manage staff of data engineers to build, maintain and support the data architecture.
Design and build the DWH database models (star schema).
Design and build efficient data pipelines (ETL) that ensure data quality and integrtity.
Manage the BI semantic model, security roles, access rights and row level security filters.
Work with business counterparts as well as IT Business Consulting, Infrastructure teams and external vedors on new data requirements.
Ensure proper maintenance and support of the BI architecture including security roles, deployments, security patching and monitoring to ensure performaance and compliance with internal technical and security guidelines.
Ensure proper documentation of data infrastructure, data models, workflows as well as security concepts in accordance with internal security policies.
Assist IT management with ad hoc tasks related to BI, reporting and audit as well as other tasks when required.

What you'll need

8+ years of experience in IT, preferably with BI Development background and exposure to different BI domains, platforms, and technologies.
At least 2 years in staff managing position.
Strong knowledge and proven hands-on experience in data warehousing (e.g. ETL design/development, data modelling)
Proficiency in Oracle and Postgre Sql.
Strong analytical thinking, problem-solving capability and business process understanding.
Customer-oriented with good communication and interpersonal skills.
Good leadership and people management skills.
Proactive, self-motivated, hard-working and able to work in a dynamic environment.
Good spoken and written communication skills in English

What you'll receive

By designing and implementing scalable, secure, and efficient data solutions that meet the needs of the organization and its users, a holder of the position will gain a deep understanding of the business needs, processes and business applications used as well as have the opportunity to keep up with the changing technologies and trends in the BI & data field through working on various IT projects.

We are dedicated to fostering a family-friendly culture and work environment. We are an equal opportunities employer and welcome applications from all candidates with the required skills and experience. We enable fair pay within the company by creating non-discriminatory salary systems. Working at Lidl & Kaufland Asia is rewarding, in every sense, because we give you the training to succeed in your role and plenty of opportunities to progress your career here. We are accredited as a Fair and Progressive employer by the Tripartite Alliance for Fair and Progressive Employment Practices (TAFEP).

Market Leading Remuneration Package:

Annual wage supplement and discretionary bonus
Life Insurance
Medical Insurance

Supportive Environment:

Out of Office leave for important appointments
In-house training courses
Training sponsorship scheme

Work-life Balance:

5-day week
Competitive Annual Leave
Charity, Community and Sporting Events

If you are not invited for an interview within 4 weeks, we regret that your application was not suited to this vacancy.
For more company information, please feel free to visit: http://www.lidl.asia
Personal data collected will be used for recruitment related purposes only and will be destroyed after 12 months

Location

Lidl & Kaufland Asia Pte. Limited | Singapore — 18757.4 km
30 Pasir Panjang Road 12-31/32 Mapletree Business City
117440 Singapore

Contract Type

Full Time

Entry Level

Management Experience

Analytics/Data Science

Reference no.

437484

We regret to inform you that this job opportunity is no longer available as it has expired

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