Job-ID
We make the world better with data
The Woodmark Group is a leading consulting organization specializing in AI, data, and analytics. We inspire people through our passion for data and innovation while supporting organizations on their digital transformation journey. Living our values of respect, openness, trust, and care fosters an excellent corporate culture and forms the foundation of our success.
What you can expect from us
Your diverse range of responsibilities
- Visualizing requirements: Based on customer requirements, you will create and maintain analytical data models and dashboards to ensure they meet the latest business needs.
- Ensuring data integrity and quality: To ensure high-performance use of reports and dashboards, you will create modular data models that simultaneously ensure data integrity and quality.
- DevOps is practiced throughout: As part of a DevOps team, you will independently develop data sources and data pipelines to ensure effective data provision for use cases and their implementation.
- Communication is key: You’ll be in constant, close contact with
your clients to ensure professional expectation management and client satisfaction,
your project team to ensure project success, and, of course,
the Woodmark team to foster knowledge sharing and mutual support.
What you bring to the role
What you bring to the table
Project experience: You have at least two years of experience in developing data sources and pipelines, data modeling and analysis, data visualization, and reporting.
Expertise is a given: You are comfortable with
- using data analysis tools such as Tableau, AWS QuickSight, KNIME, AWS Glue
- implementing analytical data models, e.g., in Data Vault 2.0 using native SQL, dbt Core, or Python
- applying data protection and security policies and adhering to best practices in this area
- working with different data structures (relational, JSON, XML) and their storage formats in layered models (3NF, Data Vault, Star Schema) and possesses an advanced understanding of
- working with various data sources and types, including unstructured data
Stakeholder-oriented thinking moves us forward: You are experienced in collaborating with stakeholders at various levels.
Support the Making-of-a-Star:You enjoy using your experience to support other Woodmarkers, because we love diversity and you make a difference.
Fluent in German: You’re comfortable with the German language and English documentation, and you can follow along when German is spoken during project work. #J-18808-Ljbffr
Data Analytics Engineer (m/w/d) Arbeitgeber: Woodmark Consulting GmbH
Die Woodmark Consulting GmbH ist ein hervorragender Arbeitgeber, der eine inspirierende Arbeitsumgebung bietet, in der Kreativität und Innovation gefördert werden. Mit einer starken Unternehmenskultur, die auf Respekt, Offenheit und Vertrauen basiert, haben Mitarbeiter die Möglichkeit, sich kontinuierlich weiterzuentwickeln und an spannenden Projekten im Bereich Marketing und digitale Medien zu arbeiten. Zudem profitieren die Angestellten von flexiblen Arbeitsmodellen und einem engagierten Team, das gemeinsam an der Verwirklichung von zukunftsweisenden Ideen arbeitet.
