15x Senior Data Engineers
Role details
Job location
Tech stack
Job description
As the Data Engineer, you will be the core builder responsible for designing, constructing, and maintaining robust and reliable data infrastructure.
Requirements
Your key focus will be on ensuring clean, scalable, and secure data flow. Day-to-day responsibilities include designing and building end-to-end data pipelines for ingestion, transformation, and loading, setting up efficient data lakes and warehouses, and collaborating closely with analysts, ML engineers, and platform teams. The ideal candidate enjoys solving complex problems, thinking critically, and is eager to experiment with the latest tools and ideas.
The role demands hands-on experience with cutting-edge data and cloud technologies. You will be utilising and playing with tools across the entire data ecosystem.
Essential tech skills include proficiency in Python, Spark, and Airflow, alongside experience with major data platforms such as Snowflake, Databricks, and BigQuery.
Familiarity with data transformation and infrastructure as code tools like dbt, Fivetran, and Terraform is highly beneficial.
Experience with one or more major cloud environments-Azure, GCP, or AWS-is also expected.
Benefits & conditions
In return for your skills and dedication, you will receive a comprehensive package designed to support your development and celebrate your success.
This includes serious learning support via paid certifications across all major technologies, weekly training, and a strong mentoring program with a dedicated Senior Support Lead.
The company fosters a culture of transparent growth with annual 360° feedback reviews, regular team socials, and recognition programs to celebrate outstanding impact.