Senior Data Engineer

1 Week ago • 6 Years +

Job Summary

Job Description

The Senior Data Engineer will join the customer's Data Platform team to architect, develop, and manage core data infrastructure using Snowflake, Looker, Airflow, and dbt. Responsibilities include designing and developing a scalable data platform, enhancing the self-serve platform, collaborating with cross-functional teams, fostering knowledge sharing, and staying updated on data engineering best practices. The job requires strong analytical skills and problem-solving abilities. The role demands expertise in data engineering and a proactive approach to improve the platform.

Must have:

6+ years of Data Engineering experience.
Strong proficiency in Airflow, Python, and SQL.
Hands-on experience with cloud data warehouses.
Solid understanding of AWS services and Kubernetes.
Familiarity with Data Quality and Observability.
Ability to thrive in a dynamic environment.
Bachelor's in a relevant quantitative field.

Good to have:

Experience with DevOps practices, CI/CD, and IaC.
Hands-on experience with Looker or other BI tools.
Performance optimization of large-scale data pipelines.
Knowledge of metadata management and Data Governance.

Perks:

Flexible working format.
Competitive salary and compensation package.
Personalized career growth.
Professional development tools.
Active tech communities.
Education reimbursement.
Anniversary presents.
Corporate events and team buildings.
Other location-specific benefits

8 skills required

8 skills required for this role

Add these skills to join the top 1% applicants for this job

ci-cd

kubernetes

looker

aws

python

sql

data-analytics

cross-functional

Job Details

N-iX is looking Senior Data Engineer to join our skilled and continuously growing team! The position is for our fintech customer from Europe. The person would be a part of the customer’s Data Platform team - a key function within the company, responsible for the architecture, development, and management of our core data infrastructure. We leverage Snowflake, Looker, Airflow (MWAA), and dbt while managing DevOps configurations for the platform. Our goal is to build and maintain a self-serve data platform that empowers stakeholders with tools for efficient data management while ensuring security, governance, and compliance standards.

Requirements:

6+ years of experience in Data Engineering.
Strong proficiency in Airflow, Python, and SQL.
Hands-on experience with cloud data warehouses (Snowflake or equivalent).
Solid understanding of AWS services and Kubernetes at an advanced user level.
Familiarity with Data Quality and Observability best practices.
Ability to thrive in a dynamic environment with a strong sense of ownership and responsibility.
Analytical mindset and problem-solving skills for tackling complex technical challenges.
Bachelor's in Mathematics, Computer Science,e or other relevant quantitative fields

Nice-to-Have Skills:

Experience with DevOps practices, CI/CD, and Infrastructure as Code (IaC).
Hands-on experience with Looker or other BI tools.
Performance optimization of large-scale data pipelines.
Knowledge of metadata management and Data Governance best practices.

Responsibilities:

Design and develop a scalable data platform to efficiently process and analyze large volumes of data using Snowflake, Looker, Airflow, and dbt.
Enhance the self-serve data platform by implementing new features to improve stakeholder access and usability.
Work with cross-functional teams to provide tailored data solutions and optimize data pipelines.
Foster a culture of knowledge sharing within the team to enhance collaboration and continuous learning.
Stay updated on emerging technologies and best practices in data engineering and bring innovative ideas to improve the platform.

We offer*:

Flexible working format - remote, office-based or flexible
A competitive salary and good compensation package
Personalized career growth
Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
Active tech communities with regular knowledge sharing
Education reimbursement
Memorable anniversary presents
Corporate events and team buildings
Other location-specific benefits

*not applicable for freelancers