Job Description

Help Us Turn Big Data into Revenue Clarity.

Offernet is seeking to employ a Senior Data Engineer as the Head of Data Platform & AI to take ownership of our full data infrastructure and elevate the architecture behind our proprietary DMP (Data Management Platform). You'll work alongside a team of data engineers, analysts, and AI developers, and report directly to senior leadership.

This is a hands-on leadership role for someone who thrives on optimisation, standardisation, and real-time, revenue-driving execution. If you're a self-starter who understands how to turn unstructured data into scalable pipelines and measurable outcomes, let's talk.

What You'll Do

Own our GCP-based Data Platform (BigQuery, Cloud Functions, Composer, Dataflow, Pub/Sub, etc.)

Architect, build, and manage robust ETL/ELT pipelines to ingest structured and unstructured data from dozens of sources

Implement best practices across data validation, deduplication, enrichment, and governance

Optimise the cost, speed, and performance of data storage, pipelines, and compute

Build tools and dashboards for internal reporting and marketing analytics teams

Create and enforce documentation, processes, and standard operating procedures (SOPs)

Lead root-cause analysis of pipeline failures and ensure data accuracy and uptime

Collaborate with AI, analytics, marketing, and ops teams to design data products that drive decision-making

Mentor data engineers and analysts; oversee technical delivery and team growth

Be available for after-hours escalations during mission-critical incidents

REQUIREMENTS

Skills & Experience We're Looking For:

5+ years of experience as a Data Engineer or Data Platform Lead Advanced proficiency in Google Cloud Platform, especially BigQuery, Dataflow, Pub/Sub, Cloud Storage, and Composer Strong coding skills in Python (SQLAlchemy or similar ORM), SQL, and either Java or PHP Experience with data modelling, schema design, and performance tuning Familiarity with AI/ML concepts and tools like Gemini (bonus) Proven ability to manage complex data workflows, edge-case debugging, and data security Comfortable with cloud cost optimisation and scalable architecture design Strong communicator with high professional accountability

Bonus Points For:

Experience in lead generation, digital marketing, or performance media

Building or scaling a proprietary DMP/CDP from scratch

Familiarity with Salesforce, Meta Conversions API, or Google Analytics integrations

GCP Professional Data Engineer Certification