Job Description
- Exposure to data monitoring and observability tools.
- Relevant experience with Event-Driven Architecture.
- Good understanding of Agile ways of working.
- Work with data engineers, scientists, and analysts to understand data needs and create effective data pipelines.
- Design, implement, and maintain data pipelines for data ingestion, processing, and transformation using cloud services and other technologies.
- Create and maintain data solutions in Azure, AWS, GCP (Redshift, Aurora, Athena, Data Factory, Big Query) and on-premise (Sql Server, Oracle, Postgresql).
- Implement data validation and cleansing procedures to ensure data quality, integrity, and dependability.
- Improve scalability, efficiency, and cost-effectiveness of data pipelines.
- Monitor and resolve data pipeline problems, ensuring consistency and availability of data.
- Proficient in Python and SQL.
- Strong experience with Relational and NoSQL databases.
- Knowledge of data design principles (Kimball, Star Schema), data warehousing, and data modelling.
- Strong understanding of ETL/ELT processes.
Company Description
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.
Job Description
Our data team has expertise across engineering, analysis, architecture, modeling, machine learning, artificial intelligence, and data science. This discipline is responsible for transforming raw data into actionable insights, building robust data infrastructures, and enabling data-driven decision-making and innovation through advanced analytics and predictive modeling.
Responsibilities:
- Work together with data engineers, scientists and analysts to understand the needs for data and create effective data pipelines
- Solution design, implement, and maintain data pipelines for data ingestion, processing, and transformation using could services and other technologies
- Create and maintain data solutions mostly in Azure, AWS or GCP (Redshift, Aurora, Athena, Data Factory, Big Query etc.) and rarely on-premise (Sql Server, Oracle, Postgresql)
- 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
- Proficient in Python and SQL
- Strong experience with Relational and ideally NoSQL databases.
- Knowledge of good data design principles (concepts such as Kimball and Star Schema), data warehousing concepts and data modelling.
- Strong understanding of ETL/ELT processes.
- Exposure to data monitoring and observability tools.
- Relevant experience with Event-Driven Architecture
- Good understanding of Agile ways of working
Additional Information
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.
