Data Engineers

SANDERSON LLC

United States

3 days ago

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Role details

Contract type

Temporary contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Working hours

Regular working hours

Job source

computerjobs.com

Tech stack

Agile Methodology Artificial Intelligence Amazon Web Services Data Analysis Business Systems Cloud Computing Information Engineering Data Integration Data Systems SQL Databases Tableau (Software) Snowflake

+3 more

Data Analytics Data Management Data Pipelines

Job description

An exciting opportunity has arisen for 3 Senior Data Engineers to join a high performing Data & Analytics team during a critical period of growth and transformation.

You’ll play a key role in delivering a mix of strategic initiatives and ongoing enhancement work, helping to shape and evolve a modern data platform that supports business-wide decision making. Working within collaborative, multidisciplinary teams, you’ll partner with product owners, analysts, engineers, and business stakeholders to deliver scalable, reliable, and future-focused data solutions.

This role is ideally suited to engineers who enjoy taking ownership, solving complex data challenges, and influencing how data products are designed and delivered. The role is:

Creating and optimising enterprise grade data solutions and pipelines
Developing effective data models that unlock insight and support reporting requirements
Integrating data from a variety of operational and business systems
Championing data quality, testing, governance, and engineering standards
Contributing to Agile delivery teams and collaborating across technical and non-technical functions
Supporting the evolution of a modern, cloud-based analytics environment

Technology Environment:

Snowflake
dbt
AWS
Tableau

The organisation is investing heavily in its data capabilities, with a strong focus on observability, governance, automation, and AI-enabled analytics.

Requirements

Core Skills: Data Engineering, Snowflake, dbt, AWS, SQL, Data Modelling, Cloud Platforms, Agile Delivery, Data Pipelines, Analytics Engineering, * Strong SQL development and data modelling experience

Proven expertise working with Snowflake
Experience using dbt or similar modern transformation frameworks
Strong cloud data engineering knowledge, preferably within AWS environments
Track record of developing scalable, production-ready data solutions
Solid understanding of testing frameworks, data quality controls, and engineering best practices
Experience working within Agile product teams
Ability to work independently and manage competing priorities
Strong stakeholder engagement and communication skills