Senior Data Engineer – AWS, Python & SQL

About the role

We are seeking a Senior Data Engineer to design, build, and optimise scalable data platforms that support analytics, ecommerce, logistics, and marketing initiatives. The role focuses on creating robust data pipelines and improving our AWS‑based data infrastructure.

Key responsibilities

• Design, build, and maintain scalable data pipelines for multiple business domains.
• Improve and maintain data infrastructure and tooling, including Redshift/Snowflake, Airflow, and Fivetran.
• Architect data processing systems capable of handling complex flows and large‑scale datasets.
• Develop reliable, cost‑effective data solutions in an AWS environment.
• Ensure high data‑quality standards through automation and best engineering practices.
• Optimise platform performance, resiliency, scalability, and operational costs.
• Collaborate with software engineers, analysts, and business stakeholders.
• Mentor engineers and analysts on data‑engineering best practices.
• Participate in architecture discussions and technical decision‑making.

Required profile

• 4+ years of experience as a Data Engineer with modern data technologies.
• Strong proficiency in Python and SQL.
• Hands‑on experience processing large‑scale datasets using Apache Spark and Apache Airflow.
• Experience designing and architecting data processing systems on AWS.
• Knowledge of Redshift and/or Snowflake, and data ingestion tools such as Fivetran.
• Understanding of data‑quality automation and engineering best practices.
• Excellent communication and interpersonal skills.

Required skills

• Python
• SQL
• Apache Spark
• Apache Airflow
• AWS (including Redshift, Snowflake)
• Fivetran
• Kafka (nice‑to‑have)
• AWS Kinesis Firehose (nice‑to‑have)
• Docker (nice‑to‑have)
• Kubernetes (nice‑to‑have)
• Ruby (nice‑to‑have)
• R (nice‑to‑have)

What we offer

• Stable, long‑term contract with growth opportunities.
• Private health insurance.
• Flexible schedule and remote‑friendly culture.
• Continuous training, mentorship, and AI resources.
• Flexible paid time off and paid holidays.
• Challenging projects with world‑class software for US clients.