Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 27 days ago

Data Engineer #IFL

MyCareersFuture94,028 open roles

Pay
SGD 7,000 – SGD 8,000 a month
Where
Central, Singapore
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowData Engineer #IFLMyCareersFuture · Central, Singapore

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on MyCareersFuture's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

7.7% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 1.6%1 day
  2. 3.3%3 days
  3. 7.7%7 days
  4. 14.0%14 days
  5. 33.7%30 days
This job: posted 27 days ago

The posting

Data Management & Transformation

  • Design, develop, and maintain scalable data pipelines integrating data from a variety of business applications, databases, and external sources.
  • Implement data quality controls and validation processes to ensure data accuracy, consistency, completeness, and reliability.
  • Perform data transformation, cleansing, aggregation, filtering, and enrichment to support business and analytical requirements.
  • Establish and maintain appropriate governance practices for data, analytical models, and automated decision-making processes.
  • Develop and maintain logical and physical data models, including data structures, relationships, and business rules.
  • Ensure data platforms and solutions adhere to relevant security, governance, and compliance standards.

Platform Optimisation & Automation

  • Develop and maintain automated deployment and integration processes for data solutions and cloud-based infrastructure.
  • Optimise data pipelines, processing workflows, and data models for performance, scalability, reliability, and cost efficiency.
  • Monitor and optimise data processing and storage capacity, including capacity planning and forecasting.
  • Identify and resolve system and query performance issues through appropriate tuning, optimisation, caching, indexing, and other techniques.
  • Monitor platform utilisation and implement appropriate housekeeping and cost-management practices.
  • Support the deployment, integration, and ongoing operation of advanced analytics and AI/ML solutions within the data platform.
  • Continuously assess and improve the reliability, maintainability, and operational efficiency of the data environment.

Collaboration & Stakeholder Engagement

  • Work closely with data leads, technology teams, and business stakeholders to establish and manage data as a strategic business asset.
  • Translate business requirements into scalable and sustainable data solutions.
  • Provide guidance to business users on the development and maintenance of reports, dashboards, and analytical solutions.
  • Promote good data management, governance, and engineering practices across relevant stakeholder groups.

Job Requirements

  • Bachelor’s degree in Computer Science, Data Science, Software Engineering, Information Systems, or another relevant quantitative or technical discipline. A Master’s degree is advantageous.
  • At least 10 years of relevant experience in data engineering, data management, data integration, data modelling, data quality, data platform optimisation, or related disciplines.
  • Strong experience designing and implementing modern cloud-based data architectures and data platforms.
  • Strong programming skills in Python and SQL. Experience with distributed data processing frameworks is highly desirable.
  • Experience working with both relational and non-relational databases. Familiarity with enterprise or legacy database technologies is advantageous.
  • Experience with software engineering and DevOps practices, including source control, CI/CD, automated deployment, and workflow orchestration.
  • Experience with data governance, metadata management, data cataloguing, and access-control frameworks.
  • Familiarity with business intelligence and data visualisation tools is advantageous.
  • Experience supporting the deployment and operationalisation of AI/ML solutions, including areas such as feature engineering and production inference, is desirable.
  • Strong understanding of data security, governance, scalability, performance, and operational best practices.
  • Strong analytical, problem-solving, communication, and stakeholder management skills.

Interested applicants, please Email, [email protected]

Fabian Ling Tuong Liing

R25129353

Recruit Express Pte Ltd

EA Licence No: 99C4599

We regret that only shortlisted candidates will be contacted.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against MyCareersFuture's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on MyCareersFuture's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    MyCareersFuture's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.