Senior Data Engineer (Snowflake & AWS)

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.

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.

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

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.

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.