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

Open nowPosted 10 hours ago

Senior Data Engineer

Tamara39 open roles

Where
India
Get the CV for this job

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

Your applicationOpen nowSenior Data EngineerTamara · India

  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 Tamara'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.

8.4% of postings close within 7 days. Measured by our own scanner across the market. Tamara postings stay open a median of 10 days.

Share of postings closed within
  1. 1.8%1 day
  2. 4.0%3 days
  3. 8.4%7 days
  4. 15.4%14 days
  5. 34.1%30 days
This job: posted 10 hours ago

Tamara median: 10 days open

The posting

About Us

Tamara is a leading fintech platform in Saudi Arabia and the GCC region with a mission to help people own their dreams built on being simple, trusted, and everywhere our customers need us. Today, more than 25 million customers and over 130,000 partner merchants depend on Tamara every day for reliable financial solutions across retail, travel, education, healthcare, and beyond. Tamara is backed by Sanabil Investments, a wholly owned company of the Public Investment Fund (PIF), and SNB Capital, among others.

Your Role

We are looking for a Senior Data Engineer to join the team building Tamara's next-generation data core - a multi-cloud data platform spanning Event Streaming, Data Warehousing, and Experimentation. You will be hands-on; designing and operating petabyte-scale streaming and batch systems that run across clouds. This role is ideal for engineers who love solving complex data challenges at scale, think with a platform mindset, and are excited to raise the technical bar of the team around them.

Your Responsibilities

  • Lead the design and build of platform components that run across multiple clouds — addressing portability, cross-cloud replication, HA/DR, and data residency requirements of a regulated fintech environment, and designing against single-cloud lock-in.
  • Build and operate large-scale event streaming infrastructure on Kafka, including configuration tuning and cross-cluster replication between cloud environments.
  • Build and maintain real-time and batch data pipelines using tools like Kafka, Spark, and Airflow.
  • Drive the development of a scalable LakeHouse architecture using modern open table formats such as Iceberg or Delta Lake.
  • Own reliable, cost-aware operation of multi-cloud data infrastructure — SLO-based observability, data quality, and lineage.
  • Enable Analytics and Product teams through self-serve data products, well-modeled warehouse foundations and marts, and reusable ingestion (inbound) and consumption (outbound) patterns.
  • Provide technical leadership to a group of 5-6 engineers and data engineers — leading design reviews, setting engineering standards, and driving knowledge sharing and documentation.

Your Expertise

Our stack today: GCP · BigQuery · Kafka/Redpanda · Debezium · dbt · Spark · Airflow · Terraform · Kubernetes

  • Preferably 6+ years of experience in data engineering or distributed backend systems, including 3**+ years operating large-scale streaming or data platform infrastructure in production**, and experience mentoring or technically leading engineers.
  • Hands-on experience with streaming platforms (e.g., Kafka) and distributed processing tools (e.g., Spark or Flink) — our event streaming platform is built on Kafka.
  • Hands-on experience building and operating data pipelines on GCP with BigQuery (and familiarity with multi-cloud patterns).
  • Working knowledge of LakeHouse formats (Iceberg/Delta/Hudi) and columnar storage like Parquet.
  • Experience with infrastructure-as-code and cloud-agnostic tooling (e.g., Terraform, Kubernetes) for deploying and operating data platforms across clouds.
  • Strong in data modeling and optimizing cloud data warehouses — we run on BigQuery and looking to expand to other Cloud DWHs.

Who You Are

  • A mentor and multiplier: passionate about driving engineering best practices and guiding a group of engineers to grow and deliver.
  • An owner: you build it, you run it — comfortable carrying operational responsibility for mission-critical streaming and data systems.
  • Comfortable with evolving scope and ambiguity as the platform grows from one cloud to many.
  • Compliance-aware: you treat security, data residency, and auditability as first-class design constraints in fintech.
  • Motivated by aligning data architecture with business outcomes, and by building platforms other teams love to use.

Nice to Have

  • Familiarity with observability tools like Prometheus, Grafana, and Loki to monitor and troubleshoot data systems.
  • Exposure to real-time OLAP engines like ClickHouse, Apache Druid, or Apache Pinot for low-latency analytics.
  • Prior experience in fintech or a highly regulated industry, with awareness of data residency, security, and compliance requirements.
  • Experience in Airflow or similar orchestration platforms.
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 Tamara'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 Tamara'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

    Tamara'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.