Offer summary

Qualifications:

Solid experience with Airflow, Python programming, and SQL., Experience with cloud data warehouses such as Snowflake., Knowledge of AWS services and Kubernetes., Bachelor's degree in Mathematics, Computer Science, or other relevant quantitative fields..

Key responsabilities:

Design and develop scalable data pipelines for processing and analyzing large volumes of data.

Collaborate with stakeholders to translate their requirements into technical steps.

Monitor and improve the health of data pipelines.

Promote knowledge sharing and mentor junior colleagues within the team.

Job description

This is us

At Qinshift and Avenga we are merging together to start a new era of technology that matter. Leveraging the power of innovations, we are on a journey to shape the future of work, and we are inviting you to co-create it with us.

This is the job

We are looking for an experienced Senior Data Engineer to join our team. The client provides core services and high-quality solutions for a large-scale online platform and everything related to the online banking system integrating externally developed components into existing application environments.

As a Senior Data Engineer, you will play a pivotal role in building and maintaining our modern data platform. Your expertise in Snowflake, AWS, Python, real-time data solutions, and software engineering will be crucial in driving our data initiatives forward.

This is you

Solid experience with Airflow, Python programming and SQL.
Experience with cloud data warehouses such as Snowflake
Knowledge of AWS services and Kubernetes.
Bachelors in Mathematics, Computer Science or other relevant quantitative fields
Strong analytical and quantitative approach to problems
Familiarity with Data Engineering best practices, including Data Quality and Observability.
Comfortable working in a dynamic and changing environment, with a strong sense of responsibility.
Eagerness to learn and grow through on-the-job learning.

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 help 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 set-up.

What awaits you at Avenga x Qinshift?

A collaborative and inclusive work environment that values innovation and continuous learning.
Opportunities to work on impactful projects using the latest technologies.
Flexible working arrangements and a focus on work-life balance.
A diverse team where everyone is encouraged to share ideas and grow professionally.

We take pride in the diverse skills and character of our teams, welcoming everyone to apply and contribute to our collective strength.

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