Senior Data Engineer
Job Summary
Job Description
N-iX seeks a Senior Data Engineer to join their fintech client's Data Platform team. Responsibilities include designing and developing a scalable data platform using Snowflake, Looker, Airflow, and dbt; enhancing the self-serve platform; collaborating with cross-functional teams on data solutions and pipeline optimization; fostering knowledge sharing; and staying updated on emerging technologies. The ideal candidate possesses 6+ years of experience in data engineering, strong proficiency in Airflow, Python, and SQL, and hands-on experience with cloud data warehouses (Snowflake or equivalent). A solid understanding of AWS services and Kubernetes is crucial, along with familiarity with Data Quality and Observability best practices.
Must have:
- 6+ years Data Engineering experience
- Proficiency in Airflow, Python, SQL
- Snowflake/equivalent experience
- AWS & Kubernetes expertise
- Data Quality & Observability knowledge
- Design & develop scalable data platform
- Enhance self-serve data platform
Good to have:
- DevOps, CI/CD, IaC experience
- Looker or BI tool experience
- Large-scale data pipeline optimization
- Metadata management & Data Governance
Perks:
- Flexible working format
- Competitive salary & benefits
- Career growth opportunities
- Professional development tools
- Active tech communities
- Education reimbursement
- Corporate events
8 skills required
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
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