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

Open nowPosted 51 days ago

Data Engineer

maneuver-marketing11 open roles

Where
India
Work mode
Remote
Get the CV for this job

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

Your applicationOpen nowData Engineermaneuver-marketing · 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 maneuver-marketing'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.

7.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 1.7%1 day
  2. 3.5%3 days
  3. 7.8%7 days
  4. 14.6%14 days
  5. 34.1%30 days
This job: posted 51 days ago

The posting

BUILD, SCALE & OPERATE LEADING DTC BRANDS ALONGSIDE A-PLAYERS

MANEUVER MARKETING

Our Vision, Mission & Success are fuelled by our commitment to be a driving force of positive change to the health of everyday consumers, providing conscious, high-quality & innovative supplement products.

In just 5 years, we kicked off our own DTC Health & Wellness brand from scratch and scaled it to USD$100M+ in annual sales, serving more than 3,000,000 customers worldwide with an average of 4,000 daily orders across 9 SKUs.

These results caught the attention of The Financial Times https://www.ft.com/high-growth-asia-pacific-ranking-2023, as they ranked us among APACs top High-Growth Companies. We have also been awarded 2nd place on the E50 Awards https://www.sph.com.sg/media-centre/media-releases/fifty-local-smes-honoured-for-pioneering-success-and-innovation-at-30th-e50-awards/, jointly organised by The Business Times and KPMG in Singapore.

This is just the beginning of our journey, and you could be part of the next stage of our growth!

WHAT YOU'LL OWN

1. DATA INFRASTRUCTURE & PIPELINE RELIABILITY

Keep data flowing accurately, on time, and at cost.

- Monitor, build, and respond to Daton pipeline alerts; track latency, freshness, and completeness across all source systems

- Investigate pipeline failures and perform root cause analysis at the pipeline, QC/validation, and API/source system level

- Create and enhance data pipelines; onboard new platform integrations and implement logic changes to existing ones

- Coordinate with source system owners and vendors when issues originate upstream

- Optimize query performance and warehouse costs; implement table partitioning, clustering, and incremental load strategies

- Maintain documentation for all pipeline logic, schema changes, and incidents, with a continuously updated change log

2. DATA QUALITY & VALIDATION

Build and maintain the quality layer that makes data trustworthy across the organization.

- Design and maintain automated QC checks: null checks, duplicate detection, range/boundary checks, valid value checks, referential integrity, and business-logic validations for key KPIs

- Perform daily validation of critical metrics against source UIs (Shopify, GA4, Meta, Klaviyo, Google Ads, Loop, etc.)

- Ensure KPI consistency across raw, transformed, and reporting layers

- Implement anomaly detection for key tables and metrics

- Proactively flag and resolve data integrity issues across teams

3. REPORTING & DASHBOARD OWNERSHIP

Own the company-wide reporting infrastructure.

- Build, maintain, and evolve dashboards and KPI trackers for Growth, Marketing, Product, Finance, and Operations

- Design and manage executive-level dashboards that support leadership decision-making

- Own metric definitions, documentation, and reporting standards across the organization

- Leverage dbt (or equivalent) to maintain clean, reliable analytical layers

- Use AI tools and automation to improve reporting efficiency and reduce manual effort

4. GROWTH & MARKETING ANALYTICS

Be the analytical partner the Growth team relies on.

- Analyze performance across paid media channels — CAC, ROAS, MER, LTV, retention, and contribution margin

- Conduct deep-dive analyses to identify growth opportunities and performance drivers

- Evaluate promotional performance and measure the impact of marketing initiatives

- Support experimentation and A/B testing: help design tests, interpret results, and communicate outcomes to stakeholders

5. PRODUCT & COMMERCIAL ANALYSIS

Turn data into commercial decisions.

- Monitor and evaluate product performance across SKUs, channels, and markets

- Analyze purchasing patterns, customer segmentation, pricing impact, and promotional effectiveness

- Provide recommendations based on quantitative analysis and business impact

- Identify opportunities to improve product assortment, pricing decisions, and inventory allocation

6. AD-HOC ANALYSIS & DECISION SUPPORT

Respond fast and think clearly under ambiguity.

- Answer analytical requests from cross-functional teams with structured, business-ready outputs

- Investigate business challenges, identify root causes, and present actionable recommendations

- Translate complex datasets and quantitative findings into clear narratives for non-technical stakeholders

- Coordinate and manage VAs on data-related tasks — scoping work, reviewing outputs, maintaining quality

7. SECURITY, COMPLIANCE & ACCESS MANAGEMENT

Protect data and maintain regulatory alignment.

- Maintain GDPR, CCPA, and related compliance controls

- Manage RBAC and column-level security in BigQuery; ensure PII masking and access restrictions

- Respond to security incidents related to data access or credentials

TECHNOLOGY STACK

- Data Warehouse: Google BigQuery

- ETL & Data Movement: Daton (primary), custom pipelines, dbt

- BI & Activation: Looker, Qlik, Segment (in progress)

- Source Systems: Shopify, GA4, Meta Ads, Google Ads, Klaviyo, Loop Subscriptions, Recart, Postscript, PayPal, and 20+ additional sources

- Monitoring & Alerting: Slack alerts, custom monitoring framework, email notifications

REQUIRED QUALIFICATIONS

TECHNICAL

- Strong Google BigQuery expertise — SQL optimization, partitioning, clustering

- Advanced SQL — window functions, CTEs, complex joins, query optimization

- Experience with ETL tools (Daton, Fivetran, or similar) and pipeline monitoring

- Experience with dbt or equivalent data transformation tools

- Proficiency in at least one BI tool — Looker, Tableau, Power BI, Metabase, or similar

- E-commerce data experience (Shopify, GA4, ad platforms strongly preferred)

- Strong Excel / Google Sheets for ad-hoc analysis

- Experience using AI tools for automation, workflow improvement, or analytics

ANALYTICAL

- Structured problem-solving — breaks ambiguous business questions into clear analytical frameworks

- Independently identifies trends, risks, and opportunities without a specific brief

- Familiarity with subscription LTV, cohort analysis, funnel metrics, and A/B testing methodology

PROFESSIONAL

- 4–6 years of experience spanning data engineering and analytics (or a strong hybrid track record)

- Proven experience maintaining production data systems with strong troubleshooting and RCA skills

- Clear communication with both technical and non-technical stakeholders

- Proactive, ownership-driven mindset; ability to work independently in a remote setup

- Strong documentation discipline

- Response availability: P0 within 2 hours, P1 within 4 hours, P2 within 24 hours on Singapore business days

PREFERRED QUALIFICATIONS

- Experience in eCommerce, DTC, subscription, or consumer goods

- Proficiency in Python for data manipulation or workflow automation

- Familiarity with marketing KPIs — CAC, ROAS, MER, LTV:CAC, contribution margin

- Experience with A/B testing or experimentation frameworks

- Familiarity with additional databases — PostgreSQL, MySQL, MongoDB, or Azure SQL

- Experience implementing AI-powered analytics workflows or reporting automation

WHAT SUCCESS LOOKS LIKE IN YEAR ONE

- Data pipelines are monitored proactively, incidents are resolved fast, and business teams trust the data they rely on

- Reporting across key business functions is automated and accurate, with reduced manual effort and clear metric ownership

- The Growth team has a strong analytical partner — from campaign performance to retention to product analytics

- Insights directly influence marketing efficiency, budget allocation, and promotional decisions

- Product and promotional performance is visible across SKUs and channels, with clear recommendations for action

- Leadership makes faster, better-informed decisions through accessible, trustworthy data

Maneuver Marketing is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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 maneuver-marketing'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 maneuver-marketing'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

    maneuver-marketing'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.