Data Engineer (L2)

Role Overview

We are looking for a Data Engineer (L2) with solid experience in Python and data ingestion pipelines and exposure to digital marketing data particularly the Meta Ads ecosystem.

In this role you will contribute to building and maintaining data pipelines that power marketing analytics campaign reporting and lead analysis. You will work closely with senior engineers and business teams to support data needs across performance marketing and role does not involve campaign execution (buying/bidding) but requires a working understanding of ad platforms marketing metrics and lead funnels.

Key Responsibilities

Data Engineering & Pipelines

Build and maintain data ingestion pipelines from APIs and other data sources

Write efficient Python and SQL for data transformation and processing

Support ETL/ELT workflows microservices and ensure timely data availability

Troubleshoot pipeline failures and assist in performance improvements

Marketing Data Support

Assist in ingestion and modeling of data from Meta Ads and similar platforms

Help create datasets for:

o Campaign performance reporting

o Lead funnel tracking

Develop familiarity with:

o Campaign structure (campaign/ad set/ad level)

o Basic performance metrics (CTR CPC CPA)

o Conversion tracking concepts

Business Collaboration

Work with marketing and analytics teams to understand data requirements

Support analysis related to lead quality and campaign performance

Help translate business needs into data queries and datasets

Data Quality & Maintenance

Implement basic data validation checks

Monitor pipelines and resolve data issues

Maintain documentation for pipelines and datasets

Required Skills & Qualifications

Core Technical Skills

Proficiency in Python (data processing API handling)

Strong SQL skills

Experience with data ingestion from APIs (basic handling of pagination retries)

Familiarity with workflow orchestration tools (e.g. Airflow or similar)

Exposure to cloud data warehouses (BigQuery etc.)

Ad Platform Exposure

Basic understanding of Meta Ads platform concepts

Familiarity with:

o Marketing metrics (CTR CPC conversions)

o Lead generation and funnel basics

Willingness to learn deeper AdTech concepts

Soft Skills

Good problem-solving and debugging skills

Ability to work in a collaborative cross-functional environment

Clear communication of technical work and issues

Good to Have

Exposure to other marketing platforms (Google Ads etc.)

Experience with tools like dbt or similar transformation frameworks

Understanding of event tracking (GA4 etc.)

What Success Looks Like

Reliable execution of data pipelines with minimal supervision

Accurate and timely delivery of marketing datasets

Growing understanding of marketing data and business use cases

Effective collaboration with senior engineers and stakeholders

Perks:

Day off on the 3rd Friday of every month (one long weekend each month)

Monthly Wellness Reimbursement Program to promote health well-being

Monthly Office Commutation Reimbursement Program

Paid paternity and maternity leaves

Qualifications :

Any degree

Remote Work :

Yes

Employment Type :

Full-time