CDP Data Engineer — Remote, Global Rollouts

Omega CRM, A Merkle Company; España; À distance; EUR 55 000 - 75 000; Plein temps

Avantages offerts par ce poste

Permanent contract

Flexible schedule

Home office

Certifications & trainings

Health insurance

Résumé du poste

Omega CRM, a Merkle Company, is seeking a Data Engineer (CDP Specialist) to scale and globally rollout our CDP platform, supporting Marketing Automation across Human Pharma and Animal Health units.

You will build and maintain data pipelines, collaborate with internal teams and partners, and drive innovative, compliant data solutions in a DevOps environment. Strong SQL, Python, and communication skills are essential.

Qualifications

• Excellent SQL and analytical SQL functions.
• Python scripting with Pandas; Dag scripting.
• Agile delivery and DevOps lifecycle experience.
• Familiarity with Atlassian (Bitbucket, Jira, Confluence).
• Experience in incident management and test automation for data platforms.
• Knowledge of Treasure Data CDP or Data Cloud is a strong plus.
• Strong communication and stakeholder management.
• Bachelor and/or Master degree or equivalent.
• 5–10 years IT and business experience preferred.
• 2–5 years Data Engineering in big data solutions.

Responsabilités

• Manage and organize data; build and maintain data infrastructure and pipelines.
• Collaborate with internal teams and external partners to drive resolutions.
• Influence scope and champion innovative process changes and technology-enabled solutions.

Connaissances

SQL

Python

Pandas

Dag scripting

Agile/DevOps

Atlassian Suite

Incident management

Treasure Data CDP

Data platform comms

Formation

Bachelor/Master or equivalent

Outils

Bitbucket

Jira

Confluence

Description du poste

Omega CRM, a Merkle Company, is seeking a Data Engineer (CDP Specialist) to scale and globally rollout our CDP platform, supporting Marketing Automation across Human Pharma and Animal Health units.

You will build and maintain data pipelines, collaborate with internal teams and partners, and drive innovative, compliant data solutions in a DevOps environment. Strong SQL, Python, and communication skills are essential.