Data Analytics Engineer (m/w/d)
Permanent position, Full-time · Tunis
We make the world better with data
Woodmark Consulting GmbH is one of Germany’s leading IT consulting firms specializing in AI, data, and analytics. We inspire people through our passion for data and innovation. Living our values of respect, openness, trust, and care fosters an excellent corporate culture and forms the foundation of our success.
Your 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 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
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 English: You’re comfortable with the English language and English documentation, and you can follow along when English is spoken during project work.
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
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 English: You’re comfortable with the English language and English documentation, and you can follow along when English is spoken during project work.
What we offer you
Innovation & Agility
In our diverse client projects, you'll work on exciting trends, tools, and technologies.
Mobile Work
Thanks to flexible working hours and modern technology, you can work from anywhere—in a way that suits both your clients and your personal circumstances.
Employee Participation & Development
You can get involved and share in the success. With Udemy, you have unlimited opportunities to further your education.
Sport & Fun
We promote health and sponsor your fitness and yoga studio. Our events and celebrations foster personal interaction and team spirit.
Compensation Package & Benefits
Our salaries are competitive, and thanks to our company pension plan, numerous benefits in kind, and special and social benefits, they are particularly attractive.
Environmental Protection & Mobility
At Woodmark, you work in a climate-neutral way. When it comes to transportation, we offer an attractive (electric) company car and job bike program.
Diversity & Equal Opportunity
We welcome applications from everyone, regardless of age, gender or gender identity, sexual orientation, religion or beliefs, illness, disability, ethnic origin, skin color, or any other characteristics!What sets us apart
Woodmark Consulting AG is one of Germany’s leading IT consulting firms specializing in AI, data, and analytics. We inspire people through our passion for data & innovation. Living out our values of respect, openness, trust, and care fosters an excellent corporate culture and is the foundation of our success.
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