This is us

At Avenga, we believe that human creativity empowers technology that matters. Operating globally, our 6000+ specialists provide a full spectrum of services, including business and tech advisory, enterprise solutions, CX, UX and Ul design, managed services, product development, and software development.

We are seeking a Senior Data Engineer to join our growing team and help design, build, and maintain robust data infrastructure for our client — a leader in digital banking solutions. This role is ideal for someone who is passionate about building scalable and efficient data pipelines and enjoys working with modern data tools in a cloud environment.

This is the job

As a Senior Data Engineer, you will play a key role in the development of a modern data platform. You will collaborate closely with data scientists, analysts, and other engineers to ensure high data availability, quality, and performance.

This is you

• You have proven experience with Airflow, Python programming, and SQL / dbt.
• You’ve worked with Snowflake or similar cloud-based data warehouses.
• You have a solid understanding of AWS services and Docker.
• You hold a Bachelor’s degree in Mathematics, Computer Science, or another relevant quantitative field.
• You approach problems with strong analytical and problem-solving skills.
• You’re familiar with Data Engineering best practices, including Data Quality and Monitoring/Observability.
• You’re comfortable working in a dynamic, fast-paced environment, and take ownership of your work.
• You have a growth mindset and are eager to learn and grow through hands-on experience.
  

This is your role

• Design and develop scalable data pipelines to efficiently process and analyze large volumes of data, utilizing Snowflake, Looker, Airflow, and dbt.
• Collaborate with stakeholders to translate their requirements into technical steps and coordinate the projects you drive with them.
• Monitor and improve the health of our data pipelines.
• Promote knowledge sharing within the team to foster collaboration and continuous learning, and mentor junior colleagues.
• Stay updated on emerging technologies and best practices in data engineering, and bring new ideas to enhance the technical setup.