Data Engineer, CDP Specialist

Job not on LinkedIn

🔥 24 minutes ago

🇪🇸 Spain – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

🚰 Data Engineer

🚫👨‍🎓 No degree required

👻 Ghost score 25%

infoinfo
Apply Now
Find Similar Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Logo of dentsu Austria

dentsu Austria

51 - 200 employees

Founded 1900

📣 Marketing

📱 Media

🏢 Enterprise

Marketing • Media • Enterprise

dentsu Austria is a part of the Dentsu Group, serving as an integrated growth and transformation partner to leading organizations worldwide. The company focuses on pushing the boundaries of business transformation and sustainable growth, providing world-class services and integrated solutions. Dentsu Austria is committed to innovating and creating experiences that enrich every business, with a strong emphasis on research, analysis, and media trends. By leveraging their global network of innovators, they strive to simplify complexities and drive impactful outcomes for brands, people, and society.

📋 Description

• Manage and organize data, building and maintaining data infrastructure and pipelines • Collaborate with the internal team and external implementation partner to proactively drive problems to resolution • Influence and negotiate scope and requirements • Champion innovative process changes and technology-enabled solutions • Scale up and globally roll out the Customer Data Platform (CDP) • Support both the development and operations of the CDP platform • Ensure high-quality deliverables • Leverage state-of-the-art technologies to keep the platform stable and compliant • Enhance the platform based on business requirements

🎯 Requirements

• Excellent SQL and analytical SQL Functions knowledge • Experience with Python scripting, Pandas & Dig Dag scripting • Proficiency in Agile delivery and software development lifecycle in a DevOps environment • Familiarity with Atlassian suite (Bitbucket, Jira, Confluence) • Experience in incident management and test automation, preferably in the context of a data platform • Knowledge of Treasure Data CDP and/or Data Cloud platform is a strong plus • Strong communication skills and relationship development and management capabilities • Bachelor and/or Master degree or equivalent • Progressive IT and business experience of 5-10 years preferred • 2-5 years Data Engineering experience in big data solutions

🏖️ Benefits

• Permanent contract • Flexible Schedule • Trainings & Certifications • Home Office • Flexible retribution (public transport ticket, Ticket restaurant, …) • Health insurance • OMEGA in action. Our commitment to a better society is not just an intention.

Apply Now

Similar Jobs

🔥 2 hours ago

Devoteam

5001 - 10000

💼 Consulting

🏥 Healthcare

📣 Marketing

DataBricks Data Engineer at Devoteam, building international data solutions with PySpark and SparkSQL. Fully remote from Spain, working with modern lakehouse technologies.

🗣️🇪🇸 Spanish Required

🕒 5 days ago

Trimble Inc.

10,000+ employees

📦 Logistics

🏭 Manufacturing

💼 Consulting

Data Platform Engineer building Trimble’s GCP transportation and logistics data platform. Automating infrastructure, migrating multi-cloud workloads, and delivering governed data pipelines.

🕒 5 days ago

Doodle

51 - 200

💼 Consulting

📣 Marketing

📦 Logistics

Data Infrastructure Engineer building reliable, secure data infrastructure for Doodle’s B2B scheduling and productivity platform. Operating Kafka, Airflow, Redshift, cloud environments and data quality systems.

🕒 6 days ago

CONVOTIS

501 - 1000

🤝 B2B

☁️ SaaS

Data Engineer integrando y consolidando datos maestros para CONVOTIS Iberia, empresa de soluciones tecnológicas. Construcción de golden records con Airflow, dbt, Python y SQL.

🗣️🇪🇸 Spanish Required

🕒 October 7

Freudenberg Group

10,000+ employees

💼 Consulting

🏥 Healthcare

📦 Logistics

IT Data Engineer building SAP and cloud data pipelines for Freudenberg Sealing Technologies in Spain. Transforming, integrating, and validating enterprise data for analytics and business intelligence.