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:

Collaborate with engineering teams and business stakeholders to understand evolving needs and define efficient data processing flows data usage patterns and dependencies in complex ecosystems as well as and interactive reports.
Design and implement cloud-native data architectures and deployment flows primarily on Microsoft Azure.
Build optimize and maintain ETL/ELT pipelines and data cleaning and transforming to meet business and platform needs.
Model relational and dimensional data structures aligned with platform capabilities.
Ensure data quality integrity and observability using tools like dbt Datadog and Azure monitoring.
Develop and maintain big data solutions leveraging technologies such as Spark Databricks and Snowflake.
Promote best practices in data security governance and Agile collaboration.
Lead initiatives improving platform scalability and data-driven innovation.
Model front-end and back-end data sources to help draw a more comprehensive picture of user flows throughout the system and to enable powerful data analysis.
Develop models that can be used to make predictions and answer questions for the overall business.

Qualifications :

5 years of experience in Data Engineering ideally within cloud environments.
Strong proficiency in Python and SQL including experience in scripting testing (Pytest/Unittest) and optimization.
Deep understanding of data warehousing data modeling and data design principles.
Proven experience implementing and managing ETL/ELT processes and data pipelines.
Hands-on experience with Azure Data Factory Databricks Blob Storage Dataflow Functions KeyVault and Azure DevOps.
Working knowledge of Snowflake or Databricks and Data Build Tool (dbt).
Experience with data monitoring and observability tools (e.g. Datadog).

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 were 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 perspectivesbecause 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.

Remote Work :

Employment Type :

Full-time

Senior Data Engineer