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

Open nowPosted 23 days ago

Data Engineer – Databricks / Lakehouse _ Contract

MyCareersFuture94,028 open roles

Pay
SGD 6,000 – SGD 8,500 a month
Where
Central, Singapore
Get the CV for this job

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

Your applicationOpen nowData Engineer – Databricks / Lakehouse _ ContractMyCareersFuture · 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 23 days ago

The posting

Data Engineer – Databricks / Lakehouse

Location: Alexandra Building

Contract Duration: 12 Months

Experience: Minimum 6 years of relevant experience

About the Role

We are looking for an experienced Data Engineer to design, develop and operationalise enterprise-scale data platforms, Lakehouse solutions and data products.

The successful candidate will have strong hands-on experience in Data Engineering, Databricks, Apache Spark, PySpark, Python and SQL, with exposure to modern Data Lake/Lakehouse architectures, cloud platforms and large-scale data ingestion and processing.

The role involves building scalable batch and streaming pipelines, developing reusable data products, implementing data quality frameworks, and supporting modern analytics, AI and GenAI use cases.

Key Responsibilities

  • Design, develop and operationalise enterprise Data Lake, Lakehouse and data engineering platforms.
  • Develop scalable batch, streaming, CDC and API-based data ingestion pipelines.
  • Build and maintain data pipelines using Spark, PySpark, Python, SQL and related Big Data technologies.
  • Develop reusable foundation and business data products, including appropriate data contracts, SLAs and data quality controls.
  • Implement data ingestion, transformation, reconciliation and data quality frameworks.
  • Work with modern Lakehouse and open table technologies such as Delta Lake, Apache Iceberg and Apache Hudi.
  • Develop solutions for structured, semi-structured and unstructured data, including extraction and processing of content from different file formats.
  • Work with streaming and distributed data technologies such as Kafka, Spark Streaming, Flink, Airflow, Hive, Trino or Dremio.
  • Design data architectures supporting AI, NLP, RAG, vector search and GenAI/agentic applications.
  • Support ingestion, curation, governance and consumption of unstructured data for AI-driven analytics.
  • Expose data through APIs, event streams, dashboards and other enterprise consumption channels.
  • Perform performance tuning, troubleshooting, production support and root cause analysis.
  • Implement automated deployment and engineering practices using Docker, Kubernetes/OpenShift and CI/CD pipelines.
  • Work closely with architecture, engineering, analytics and business teams across multiple projects.
  • Prepare technical documentation, deployment guides and operational runbooks.
  • Ensure solutions comply with engineering standards, security requirements, DevSecOps controls and software delivery practices.

Requirements

  • Bachelor's degree in Computer Science, Engineering, Information Technology or a related discipline.
  • Minimum 6 years of relevant experience in Data Engineering, Big Data, Data Lake, Data Warehouse or Lakehouse implementations.
  • Strong hands-on experience with Apache Spark, PySpark, Python and SQL.
  • Experience with one or more enterprise data platforms such as Databricks, Snowflake, Cloudera, Azure, AWS or GCP.
  • Strong experience developing ETL/ELT, data ingestion, transformation and data processing pipelines.
  • Experience working with Data Lake/Lakehouse architectures and technologies such as Delta Lake, Iceberg or Hudi.
  • Experience with distributed and streaming technologies such as Kafka, Spark Streaming, Flink, Hive or Airflow.
  • Good understanding of data modelling, metadata management, data lineage, governance and data quality.
  • Experience with containerisation and DevOps technologies such as Kubernetes, OpenShift, Docker, Jenkins, Git and CI/CD.
  • Strong troubleshooting, performance optimisation and root cause analysis skills.
  • Experience working in Agile environments and delivering enterprise-scale technology solutions.
  • Strong communication, collaboration and stakeholder management skills.

Good to Have

  • Experience developing data products or enterprise data marketplace solutions.
  • Experience supporting RAG, vector search, GenAI, NLP or AI/ML data pipelines.
  • Experience processing multimodal or unstructured data such as documents, images, audio and video.
  • Knowledge of Scala or Java for data engineering.
  • Experience with MLflow, Spark MLlib, scikit-learn or XGBoost.
  • Experience developing internal engineering tools using Python, shell scripting, Flask or React.
  • Exposure to Teradata, Netezza, Greenplum or other MPP migration programmes.
  • Relevant certifications such as Databricks Certified Data Engineer, Azure Data Engineer Associate, Google Professional Data Engineer, SnowPro or DAMA CDMP.

Interested candidates are kindly requested to email their CV with their experience to [email protected]

We look forward to your application!

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.