[Hiring] Data Analytics Engineer @Scale3c

Scale3c; United States; Remote; USD 90,000 - 130,000; Full time

Job summary

A leading company in the leisure and holiday industry is seeking a remote Data Analytics Engineer to join their Foundation Tribe. In this role, you will manage and enhance the data warehouse, translating business requirements into efficient datasets and implementing best practices for data handling. Ideal candidates will have extensive experience in data engineering, data warehousing, and data transformation, along with strong collaboration skills.

Qualifications

• 4+ years in data engineering or analytics engineering.
• Advanced SQL and dbt expertise required.
• Collaboration and communication skills essential.

Responsibilities

• Manage and enhance the company's data warehouse.
• Translate business requirements into reliable datasets.
• Design and implement data models using dbt.

Skills

Data warehousing principles

Dimensional modeling

Data transformation with dbt

Advanced SQL

Git for version control

Analytical skills

Problem-solving

Interpersonal skills

Fluent in English

Tools

Snowflake

AWS

Python

Job description

Jun 02, 2025 - Scale3c is hiring a remote Data Analytics Engineer. Location: Europe.

A leading British company in the leisure and holiday industry offers diverse experiences ranging from family-friendly holiday parks to adult-only hotels. The organization is structured into cross-functional product tribes, and this role sits within the Foundation Tribe.

The Foundation Tribe is responsible for delivering core digital systems and features that support other business areas. These include Customer Data, Payments, CRM, and Business Intelligence (BI) systems.

Must have requirements:

• Over 4 years of hands-on experience in data engineering or analytics engineering
• Strong grasp of data warehousing principles, with expertise in dimensional modeling
• Skilled in data transformation using dbt Core and/or dbt Cloud, along with advanced SQL proficiency
• Experience working with Snowflake or similar cloud-based data warehouse platforms
• Comfortable using Git for version control and collaboration
• Analytical and results-oriented, with excellent problem-solving capabilities
• Strong interpersonal skills with a collaborative approach to cross-functional teamwork
• Fluent in English, with outstanding verbal and written communication skills

Nice to have:

• Experience in implementing and maintaining data quality standards
• Familiarity with Amazon Web Services (AWS) and its ecosystem
• Hands-on experience with Python for data-related tasks or automation
• Understanding of Continuous Integration and Continuous Deployment (CI/CD) practices
• Prior experience in mentoring or coaching team members is a strong advantage

Responsibilities:

• Manage and enhance the company's data warehouse, ensuring alignment with best practices and internal standards
• Translate business requirements into efficient, reliable datasets within the Data Lake and oversee data layer management in Snowflake
• Design and implement data models, views, and aggregates using dbt