Senior Data Engineer (Microsoft Fabric)
At a glance
Senior Data Engineering role at Endava. Timișoara · full-time.
Pay not stated Data Engineer salary
dataroles summary, based on the employer's posting.
What you'll do
- Bring data from source systems into modelling layers, then connect it to models and workflows
- Design, build and maintain Azure pipelines that ingest, process and transform data
- Create Azure data solutions with Data Factory, Synapse or Fabric
- Add validation and cleansing steps to protect data quality and reliability
- Monitor pipeline health, fix problems and improve efficiency, scale and cost
What you bring
- You have good Python skills and understand sound data design, warehousing and modelling
- You bring strong experience with relational databases, with NoSQL experience preferred
- You understand ETL/ELT processes and have exposure to data monitoring and observability tools
Who this fits
This senior data engineering role suits someone focused on Azure pipelines and modelling data layers. It is based in Timișoara with a hybrid setup.
From the employer
Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change.
By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses.
From prototype to real-world impact - be part of a global shift by doing work that matters.
- Responsible for ingestion of data sources and feature engineering to support creation of modelling data layers, integrate data into models / workflows.
- Solution design, implement, and maintain data pipelines for data ingestion, processing, and transformation using could services and other technologies
- Create and maintain data solutions IN Azure, using any of the following: Data Factory, Synapse, Fabric
- Implementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data.
- Improve the scalability, efficiency, and cost-effectiveness of data pipelines.
- Monitoring and resolving data pipeline problems, ensuring consistency and availability of the data.
Qualifications
- Good Python skills
- Knowledge of good data design principles (concepts such as Kimball and Star Schema), data warehousing concepts and data modelling.
- Strong experience with Relational and ideally NoSQL databases.
- Strong understanding of ETL/ELT processes.
- Exposure to data monitoring and observability tools
At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.
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