Senior Data Engineer 506961

We are seeking a highly skilled and hands-on Senior Data Engineer to architect and maintain modern data infrastructure and pipelines.This is a technical role focused on building a scalable data platform that powers analytics, insights, and agentic workflows to enable data-driven decision making across the company. You will work closely with analysts, product, and engineering teams to design end-to-end data solutions using tools like AWS Redshift, Athena, Snowflake, and other leading cloud platforms.

Responsibilities

• Design and build scalable data pipelines to ingest, process, and store large volumes of structured and unstructured data from diverse sources.
• Develop and maintain robust data warehouse architectures leveraging tools such as AWS Redshift, Athena, and Snowflake.
• Optimize data models, queries, and storage strategies for performance, scalability, and cost-effectiveness.
• Collaborate with cross-functional stakeholders (analytics, product, payments and finance) to gather requirements and deliver data solutions that support business goals.
• Ensure data quality, security, and privacy through best practices in governance, testing, and monitoring.
• Own and operate production data workflows, resolving incidents and ensuring reliability.
• Develop and maintain infrastructure optimized for both analytics and AI workloads, including transformation and semantic layers.
• Design and monitor agentic flows aimed at democratizing data access for users across the company, ensuring reliability, scalability, and accuracy.

Tech Stack

• Languages & Tools: Python, SQL
• Data Warehousing & Query Engines: Snowflake, AWS Redshift, Athena
• Pipeline & Orchestration: Apache Airflow, AWS Glue, dbt
• Cloud & DevOps: AWS (Lambda, S3, IAM), Docker, Terraform
• Streaming: Kafka, Kinesis
• BI & Analytics: Tableau, Power BI

Requirements

• Bachelor's or Master’s degree in Computer Science, Engineering, or related field
• 5+ years of experience as a Data Engineer, with a strong focus on data pipeline development and data warehousing
• Deep proficiency in Snowflake or AWS Redshift
• Strong programming skills in Python and SQL
• Hands-on experience building LLM-powered applications or workflows in a production environment for analytical use cases, for example ‘ask your data’ interfaces
• Experience with pipeline orchestration tools (Airflow, Glue, dbt)
• Solid understanding of data modeling, schema design, and ETL/ELT processes
• Strong analytical, problem-solving, and communication skills
• Ability to work cross-functionally and mentor others
• Experience in high-growth, product-led, or SaaS environments

Bonus:

• Familiarity with AWS infrastructure and DevOps practices
• Knowledge of data privacy and security standards (GDPR, SOC2)
• Solid understanding of agent architectures (tool use, planning, memory management), prompt engineering and evaluation

Send CVs to [email protected]