Data Engineer

Role Overview

We are seeking a forward-thinking Data Engineer to spearhead the technical conception and construction of an Analytic Foundation. This comprises a collection of commercial analytical solutions coupled with an extensive data platform. These capabilities will be served via APIs that provide data and insights from diverse locations within a centralized data repository. The successful candidate will collaborate deeply with different business units to enhance and create solutions that deliver substantial value to our customers.

Key Responsibilities

• Lead the rollout of intricate features within the Advanced Analytics team.
• Innovate in the fields of analytics and scalable application development.
• Construct and maintain performant data and analytics models to support scalable products.
• Ensure code quality by authoring and reviewing efficient and thoroughly tested code.
• Guide and mentor less experienced engineers and colleagues.
• Drive enhancements in development processes through innovative practices.
• Collaborate with Product Managers and Customer Experience Designers to deeply understand user needs for precise scoping and feature development.
• Work cross-functionally alongside motivated peers dedicated to excellence.

Candidate Profile

• Minimum of 4 years hands-on full-stack engineering experience within agile, production environments.
• Proven leadership in designing and deploying complex features in full-stack applications.
• Strong capability to navigate between business, data management, and technical teams, quickly grasping business needs and translating these into technical solutions.
• Exposure to open-source tools, predictive analytics, machine learning, advanced statistics, and related data analysis techniques.
• Expertise in Python or Scala and experience with Spark and Hadoop ecosystems including tools like Hive, Impala, Airflow, NiFi, and Sqoop.
• Skilled in developing and deploying production-grade data-centric applications and pipelines, and implementing scalable machine learning systems across all phases from ingestion to presentation in Java, Scala, or Python.
• Experience with cloud platforms such as Databricks, AWS, or Azure.
• Demonstrated aptitude for quickly learning and applying new technologies and frameworks.
• Customer-centric mindset focused on delivering value.
• Strong passion for solving analytical and quantitative challenges.
• Track record of driving improvements in development workflows.
• Effective collaborator with experience interacting across roles and locations.
• Self-motivated, creative, with strong dedication to teamwork in small project groups.
• Academic background in Computer Science or a related technical discipline.
• Excellent verbal and written communication skills in English.