Senior Data Engineer (Snowflake & AWS)

We are looking for an experienced Senior Data Engineer to join our team and contribute to the development and modernization of enterprise data solutions within the automotive mobility and financial services domain.

In this role you will work on a cloud-based data platform supporting vehicle leasing customer services operational processes and financial reporting. You will help build reliable scalable and high-quality data pipelines that integrate information from multiple business systems and enable data-driven decision-making.

You will collaborate closely with Data Architects Business Analysts Tech Leads and cross-functional engineering teams to deliver robust data integration and transformation solutions using Snowflake and AWS.

Key Responsibilities:

• Design develop and maintain scalable data pipelines and integration solutions using Snowflake and AWS

• Build and optimize ETL/ELT processes to integrate data from multiple enterprise systems

• Develop and maintain data models schemas and transformation logic within Snowflake 

• Implement data transformations mappings and business rules 

• Develop and optimize complex SQL queries and data processing workflows ensuring performance scalability and cost efficiency

• Implement data quality controls validation mechanisms and reconciliation processes 

• Collaborate with business and technical stakeholders to translate data requirements into reliable production-ready implementations

• Support secure and controlled data processing practices particularly when handling sensitive customer and financial information

• Implement monitoring troubleshooting and continuous improvement practices for data pipelines and integration workflows

• Contribute to CI/CD processes technical documentation and data engineering best practices.

Qualifications :

Required Skills and Experience:

• Strong professional experience in Data Engineering with a focus on enterprise data integration transformation and cloud-based data platforms

• Extensive hands-on experience with Snowflake including data ingestion transformation data modeling and performance optimization

• Advanced SQL skills including complex queries analytical functions stored procedures and query optimization

• Solid experience with AWS cloud services

• Strong understanding of ETL/ELT architectures data warehousing concepts and enterprise data integration patterns

• Good understanding of relational and dimensional data modeling data warehouse design principles and analytical data structures

• Experience implementing data quality checks reconciliation processes and data validation mechanisms

• Understanding of data security access controls and data protection principles when working with sensitive or regulated information

• Familiarity with Git-based development workflows CI/CD pipelines and automated deployment practices

• Strong analytical troubleshooting and problem-solving skills

• Ability to work independently take ownership of technical deliverables and collaborate effectively with technical and business stakeholders

Nice to Have:

• Hands-on experience with dbt (data build tool) for SQL-based transformations data modeling testing and documentation

• Experience with Oracle Data Integrator (ODI) including developing maintaining or migrating enterprise ETL workflows

• Knowledge of Python for data processing automation and pipeline development

• Experience with orchestration tools such as Apache Airflow

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.

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 :

No

Employment Type :

Full-time