[Hiring] Senior Data Engineer @Accesa

Role Description

The client is developing its own Marketing AI product to deliver personalized product, bundle, and promotion recommendations based on customer profiles, purchase history, and behavioral data. The goal is to make recommendations more relevant, increase conversion, and improve profit margins.

Within this initiative, we are looking for Data Engineering profiles, one focused on building the customer data foundation and another on integrating customer platforms and communication channels.

Responsibilities:

• Design and build a scalable customer data mart that consolidates loyalty attributes, wishlist and affinity data, and explicit preferences captured in the app.
• Set up real-time data streaming between backend systems, the CDP (Zeotap) and the CEP (Responsys).
• Build and maintain robust backend APIs that give product teams access to customer data for personalization.
• Model and transform data in BigQuery and Dataform, and orchestrate pipelines with Cloud Workflows, Cloud Scheduler and Eventarc.
• Manage infrastructure as code with Terraform and ship through CI/CD pipelines in GitHub Actions.

Qualifications

• Expert Python and SQL skills in production data engineering.
• Hands-on experience with GCP data services, in particular BigQuery, Pub/Sub, Cloud Run and Cloud Storage.
• Experience with Dataform, Datastore, Cloud Workflows, Eventarc and Cloud Scheduler.
• Experience building real-time or event-driven data pipelines.
• Experience designing data models and data marts for analytical and operational use.
• Experience building REST APIs in Python, ideally with Flask.
• Infrastructure as code with Terraform (HCL) and CI/CD with GitHub Actions.
• Fluent English for working in an international team.

Requirements

• Experience integrating a Customer Data Platform (Zeotap).
• Experience with Oracle Responsys or another CEP (Salesforce Marketing Cloud, Braze).
• Background with customer, loyalty or e-commerce data, including identity resolution.
• GCP Professional Data Engineer certification.

Benefits

• Enjoy our holistic benefits program that covers the four pillars that we believe come together to support our wellbeing, covering social, physical, emotional wellbeing, as well as work-life fusion.
• Physical Wellbeing: Our wellbeing program includes medical benefits, gym support, and personalised fitness options for an active lifestyle, complemented by team events and the Healthy Habits Club.
• Work-Life Fusion: In very dynamic industries such as IT, the line between our professional and personal lives can quickly become blurred. Having a one-size-fits-one approach gives us the flexibility to define the work-life dynamic that works for us.
• Emotional Wellbeing: We believe that to maintain our overall health, we need to invest in our mental wellbeing just as much as we do in our physical health, social connections or in achieving work-life balance.
• Social Wellbeing: As a growing community in a hybrid environment, we want to ensure we remain connected not just by the great work we do every day but through our passions and interests.