About the Role
As a SeniorData Engineer I, you will be responsible for helping to createa data infrastructure that is secure, scalable, well-connected, thoughtfully architected while also building a deep domain knowledge of our business domain. This team is responsible for the complex flow of data across teams, data centers, and organizational boundaries all around the world. This data is the backbone of successful storytelling for AIS colleagues and customers, and it must be curated through several reliable yetcost-effective approaches.
Responsibilities:
Build and maintain a robust, modern data orchestration and transformation architecture to support both batch and streaming processes.
Ensure reliable delivery of clean, accurate data for analytical platforms and data sharing services.
Contribute to the development and enforcement of technical and coding standards to mature SDLC practices.
Collaborate with DevOps to automate deployments and implement Infrastructure as Code (IaC) for consistent, repeatable environments across regions.
Develop modularized components and reusable frameworks, establishing common patterns for easy contribution and reliable deployment.
Document and promote best practices by establishing guidelines with stakeholders and sharing knowledge across engineering and product teams.
Drive operational efficiency, reliability, and scalability through improvements in logging, monitoring, and observability.
Support platform evolution and data governance by identifying capability gaps, implementing necessary tooling and processes, and promoting DataOps through leadership and user feedback initiatives.
Requirements:
Deploy and govern modern data stack technologies (e.g., Snowflake, Airflow, DBT, Fivetran, Airbyte, Tableau, Sisense, AWS, GitHub, Terraform, Docker) at enterprise scale for data engineering workloads.
Develop deployable, reusable ETL/ELT solutions using Python, advanced SQL, and Jinja for data pipelines and stored procedures.
Demonstrate applied understanding of SDLC best practices and contribute to the maturity of SDLC, DataOps, and DevOps processes.
Participate actively in Agile delivery, including ceremonies, requirements refinement, and fostering a culture of iterative improvement.
Provide thought leadership in the data platform landscape by building well-researched proposals and driving adoption of change.
Design comprehensive technical solutions, producing architecture and infrastructure documentation for scalable, secure, and efficient data platforms.
Exhibit deep expertise in AWS data and analytics services, with experience in production-grade cloud solutions and cost optimization.
Apply strong data and technology governance, ensuring compliance with data management, privacy, and security practices, while collaborating cross-functionally and adapting to evolving priorities.
Work in a way that works for you
We promote a healthy work/life balance across the organization. With an average length of service of 9 years, we are confident that we offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and long-term goals.
Working remotely from home or in our office in a flexible hybrid style
Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive
Working with us
:quality(80))
:quality(80))
:quality(80))