Data Warehouse (DWH) Data Analyst/Engineer
Join a team where your work truly matters and see how you can make a big impact on the world.
At Sensoneo, we’re not just making products and software; we’re creating smart solutions that change waste management for a cleaner, greener planet. Our technologies are making a difference in more than 80 countries, and we’re growing fast.
In this role, you’ll design and optimize Azure-based data warehouse solutions, bringing together various data sources. You’ll collaborate closely with our clients to understand their needs, present solutions, and make sure they get the insights they’re looking for. If you’re skilled in data, love problem-solving, and enjoy client interaction, say no more – send us your CV!
Your Role and Responsibilities
- Design and implement data models (Star Schema, Facts & Dimensions) to support the company’s data warehouse strategy
- Develop and optimize ETL pipelines using Azure Data Factory (ADF) for data ingestion, transformation, and integration
- Collaborate with clients and internal stakeholders to understand data requirements and translate them into actionable data solutions
- Present technical findings and data solutions to non-technical audiences in client-facing meetings, ensuring clear communication of complex concepts
- Build and maintain SQL queries to ensure optimal performance and scalability of the data warehouse
- Develop Power BI dashboards and reports to provide meaningful insights to both internal teams and clients
- Utilize Python (Pandas, PySpark) for data analysis, manipulation, and automation tasks
- Implement and manage data solutions using Azure Synapse Analytics for efficient data storage and processing
- Ensure effective version control and collaboration using Git for managing code and pipeline changes
- Act as a key liaison between technical teams and clients, fostering strong relationships and ensuring client satisfaction
- Write technical documentation as part of the solution delivery, outlining system architecture, ETL processes, data models, and other relevant technical details
- Participate in client presentations, training sessions, and regular status updates
Skills & Qualifications
Required:
- Fluency in English, both written and verbal, with excellent communication and presentation skills
- Proven experience in Data Modeling (Star Schema, Facts, Dimensions) for data warehousing
- Proficiency in Azure Data Factory (ADF) for building and maintaining ETL pipelines
- Advanced SQL skills for managing relational databases and optimizing query performance
- Experience with Power BI for building interactive reports and dashboards
- Expertise in Python (Pandas, PySpark) for data transformation and automation
- Familiarity with Azure Synapse Analytics for handling large-scale data processing
- Experience with Git for version control and collaboration on code changes
- Strong interpersonal skills, with the ability to engage with clients and present technical solutions clearly and effectively
- Experience in writing detailed technical documentation for data solutions, including system architecture and processes
Preferred:
- Experience in client-facing roles, with a proven ability to manage client relationships and expectations.
- Knowledge of cloud-based data solutions, specifically in Azure
- Familiarity with CI/CD pipelines and automated data workflows
- Understanding of data governance, quality, and security best practices
Salary:
- starting from 3500€ (depending on experience)