Data Engineer

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.

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. 

As a Data Engineer at Endava, you will play a critical role in designing, building, and maintaining robust, scalable, and high-performance data pipelines and infrastructure. You will collaborate with data scientists, analysts, software engineers, and product managers to ensure seamless data flow across the organization and support data-driven decision-making at all levels.

This role requires a solid foundation in software engineering, a deep understanding of modern data architecture, and a passion for creating clean, reusable, and efficient systems.

Responsibilities:

• Build and maintain ETL/ELT pipelines: Design, develop, and optimize batch and real-time data pipelines using tools like Apache Airflow, DBT, Kafka, or cloud-native solutions.

• Data modeling and warehousing: Design efficient data models and implement scalable data warehouses or lakes using Snowflake, BigQuery, Redshift, or similar.

• Collaboration: Work closely with Data Science, Analytics, DevOps, and Software Engineering teams to integrate data systems and support downstream use cases.

• Infrastructure as code: Implement and maintain infrastructure using Terraform, Pulumi, or similar tools to ensure reproducibility and scalability.

• Monitoring and quality assurance: Set up monitoring, alerting, and data quality validation mechanisms to ensure data integrity and availability.

• Documentation: Write and maintain documentation for data flows, schemas, and design decisions to facilitate transparency and maintainability.

• 5+ years of experience as a Data Engineer or in a similar role (e.g., Backend Engineer with strong data focus).

• Strong proficiency in Python, SQL, and at least one data pipeline orchestration framework (Airflow, Prefect, etc.).

• Experience with cloud platforms (GCP, AWS, or Azure) and associated data services (e.g., BigQuery, S3, Redshift, GCS).

• Familiarity with containerization and deployment tools (Docker, Kubernetes, CI/CD pipelines).

• Understanding of data modeling, data warehousing concepts (Kimball, Inmon), and performance optimization techniques.

• Comfortable working in agile environments and familiar with software development best practices (code reviews, testing, version control).

• Batch processing.

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.