A digital intelligence firm that specialises in the development, management, and utilisation of big data technology, is seeking a Senior Data Engineer to step into the hands-on leadership role of Head of Data Platform & AI. You will take full ownership of their data infrastructure, elevating the architecture behind their proprietary Data Management Platform (DMP).

Responsibilities:

• Own and manage our entire GCP-based Data Platform, including core services like BigQuery, Cloud Functions, Composer, Dataflow, and Pub/Sub.

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

• Optimize the cost, speed, and performance of data storage, pipelines, and compute resources.

• Implement and enforce best practices across data validation, deduplication, enrichment, security, and governance.

• Create and enforce technical documentation, processes, and Standard Operating Procedures (SOPs) across the data team.

• Lead root-cause analysis of pipeline failures and ensure high data accuracy and uptime, including being available for after-hours escalations during mission-critical incidents.

• Mentor and coach data engineers and analysts; oversee technical delivery, quality, and team growth.

• Collaborate with AI, analytics, marketing, and operations teams to design high-impact data products that directly drive decision-making and revenue.

• Build internal tools and dashboards for reporting and marketing analytics teams.

Minimum Requirements:

• 5+ years of experience as a Data Engineer or in a Data Platform Leadership role.

• Advanced proficiency in Google Cloud Platform (GCP), specifically: BigQuery, Dataflow, Pub/Sub, Cloud Storage, and Composer.

• Strong coding skills in Python (with experience in SQLAlchemy or similar ORM), SQL, and demonstrable expertise in either Java or PHP.

• Extensive experience with data modelling, schema design, and performance tuning of large datasets.

• Proven ability to manage complex data workflows, including edge-case debugging and strict data security protocols.

• Comfortable with cloud cost optimisation and designing highly scalable, production-ready architecture.
  

Bonus:

• Experience in lead generation, digital marketing, or performance media.

• Proven track record of building or scaling a proprietary DMP (Data Management Platform) or CDP (Customer Data Platform) from scratch.

• Familiarity with marketing data integrations like Salesforce, Meta Conversions API, or Google Analytics.

• A GCP Professional Data Engineer Certification.

Benefits:

• Competitive salary based on experience (salary can potentially be more based on experience/skills)

IF you meet the above requirements and want to make a career-changing move, apply today by emailing your CV to [email protected]