Asks for

The ad says“Good understanding of Agile ways of working”
The ad says“Create and maintain data solutions IN Azure, using any of the following: Data Factory, Synapse, Databricks/Spark, Polars/Pandas, Fabric”
The ad says“Knowledge of good data design principles (concepts such as Kimball and Star Schema), data warehousing concepts and data modelling.”
The ad says“Create and maintain data solutions IN Azure, using any of the following: Data Factory, Synapse, Databricks/Spark, Polars/Pandas, Fabric”
The ad says“Knowledge of good data design principles (concepts such as Kimball and Star Schema), data warehousing concepts and data modelling.”
The ad says“Knowledge of good data design principles (concepts such as Kimball and Star Schema), data warehousing concepts and data modelling.”
The ad says“Create and maintain data solutions IN Azure, using any of the following: Data Factory, Synapse, Databricks/Spark, Polars/Pandas, Fabric”
The ad says“Strong understanding of ETL/ELT processes.”
The ad says“Relevant experience with Event-Driven Architecture”
The ad says“Create and maintain data solutions IN Azure, using any of the following: Data Factory, Synapse, Databricks/Spark, Polars/Pandas, Fabric”
The ad says“Knowledge of good data design principles (concepts such as Kimball and Star Schema), data warehousing concepts and data modelling.”
The ad says“Strong experience with Relational and ideally NoSQL databases.”
The ad says“Create and maintain data solutions IN Azure, using any of the following: Data Factory, Synapse, Databricks/Spark, Polars/Pandas, Fabric”
The ad says“Create and maintain data solutions IN Azure, using any of the following: Data Factory, Synapse, Databricks/Spark, Polars/Pandas, Fabric”
The ad says“Proficient in Python and SQL”
The ad says“Strong experience with Relational and ideally NoSQL databases.”
The ad says“Create and maintain data solutions IN Azure, using any of the following: Data Factory, Synapse, Databricks/Spark, Polars/Pandas, Fabric”
The ad says“Proficient in Python and SQL”
The ad says“Knowledge of good data design principles (concepts such as Kimball and Star Schema), data warehousing concepts and data modelling.”
The ad says“Create and maintain data solutions IN Azure, using any of the following: Data Factory, Synapse, Databricks/Spark, Polars/Pandas, Fabric”

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

Work together with data 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 IN Azure, using any of the following: Data Factory, Synapse, Databricks/Spark, Polars/Pandas, 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

Proficient in Python and SQL
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.
Relevant experience with Event-Driven Architecture
Good understanding of Agile ways of working

Additional Information

Discover some of the global benefits that empower our people to become the best version of themselves:

Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus;
Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership;
Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences;
Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme;
Health: Global internal wellbeing programme, access to wellbeing apps;
Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations.

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.