Job
- Level
- Senior
- Location
- Dusseldorf
- Working Model
- Hybrid, Onsite
- Job Field
- Data, Application
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
In this role, you develop data pipeline architectures in Databricks and AWS, integrate data from various systems, and optimize tracking solutions using Adobe Analytics to create a robust data foundation for AI and analytics projects.
Job Technologies
Your role in the team
- You develop and operate the data infrastructure for our AI, analytics, and automation initiatives.
- At the same time, you will further develop our digital data collection with Adobe Analytics and our Customer Data Platform (CDP).
- This is how you lay the foundation to make data from different systems reliably, securely, traceably, and in compliance with data protection regulations usable for product development, AI applications, reporting, marketing, and commercialization.
- In this role, you will work closely with our AI Lead, the AI Engineer, another Data Engineer, as well as teams from IT, Business Intelligence, AdTech, and other departments.
- You will have the opportunity to actively shape our central data platform as well as the Analytics and CDP landscape.
- You design, implement, and operate scalable data pipelines and architectures for AI, analytics, tracking, and automation projects in Databricks and AWS.
- You integrate data from CRM, BI, AdServer, campaign, web, app, and internal systems, harmonize it, and continuously develop the data foundation.
- You model, transform, and document data along clear processing stages such as Bronze, Silver, and Gold.
- You develop tracking and data collection solutions using Adobe Analytics, Adobe Experience Platform Web SDK, and Adobe Tags, and implement tracking, data, and event specifications with product, development, marketing, and AdTech teams.
- You model event, customer, and profile data in Adobe Experience Platform, including XDM schemas, datasets, datastreams, and identity relationships, and actively develop target audiences and segments in the CDP.
- You integrate Adobe Analytics and Adobe Experience Platform via APIs, SDKs, and standard interfaces, ensuring quality, completeness, and availability through testing, monitoring, and debugging.
- You contribute to Data Governance, access and permission concepts, as well as auditability, and implement consent requirements such as consent, revocation, opt-out, deletion, and purpose limitation technically.
- You provide curated data and interfaces for Machine Learning, Predictive Analytics, Reporting, and Personalization, optimize data processes, and document models, interfaces, and operational processes.
This text has been machine translated. Show original
Our expectations of you
Qualifications
- Good understanding of data modeling, data quality, Git and traceable transformation processes, as well as security, network, and permission concepts.
- Structured, quality-oriented work approach, the ability to communicate technical contexts appropriately to the target audience, as well as very good German and English skills.
Experience
- Extensive experience in the development and production environment of data pipelines and data models with Python and SQL, as well as with relational databases and ETL/ELT principles.
- Experience with modern data platforms and warehouse or lakehouse architectures, such as Databricks or Snowflake, as well as with cloud infrastructures, preferably AWS.
- Practical experience with Adobe Analytics, web tracking, and event-based data collection, ideally also with Adobe Experience Platform or Adobe Real-Time CDP.
- Knowledge of Adobe Experience Platform, especially XDM schemas, datasets, datastreams, identity namespaces, identity resolution, segments, and destinations.
- Solid knowledge of JavaScript and/or TypeScript as well as experience with client- and server-side tracking, browser data models, and first-party identifiers.
- Experience in developing and integrating APIs, such as REST and OpenAPI, ideally also with Webhooks and Event Streaming.
This text has been machine translated. Show original
What we offer
- Your work adapts to your personal life circumstances and individual professional requirements.
- Take advantage of our policy of flexible remote work on a daily basis, alongside the shared time with your team in our modern office.
- You immerse yourself in a diverse work environment with a high degree of creative freedom.
- Enhance your skills with our "GROW Academy" offering, regular insights, and 24/7 access to our learning platform.
- Work the way you feel comfortable.
- Comprehensive onboarding, 30 days of vacation, subsidized company ticket, bike leasing program, gym partnerships, retirement contributions, discounted book orders, in-house daycare, dog-friendly office, company events, and much more.
This text has been machine translated. Show original
Benefits
Work-Life-Integration
Health, Fitness & Fun
Topics You Will Work On
Job Locations
About Your Employer
Handelsblatt Media Group Gmbh & Co. Kg
The Handelsblatt Media Group is committed to quality journalism that is independent and objective. Our goal is to empower people to understand the economy and make the profound changes that society, businesses, and individuals are facing.
Description
- Company Size
- 250+ Employees
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Media, Publishing
Employer reviews
by devworkplaces.com
Total
(1 Review)3.0
Workingconditions
3.2Career Growth
2.5Engineering
3.0Culture
3.5
Senior Data Engineer
- Location
- Dusseldorf
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
