# Data Engineer

**Company**: Williams Advanced Engineering
**Location**: Grove
**Work arrangement**: onsite
**Experience**: mid
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://careers.williamsf1.com/job/trackside-operations-lead-hospitality-in-london-jid-494
**Canonical**: https://yubhub.co/jobs/job_51fb35f8-ae2

## Description

We are seeking an experienced Data Engineer to join our team. As a Data Engineer, you will be responsible for designing, developing, and maintaining large-scale data systems and pipelines. You will work closely with cross-functional teams to ensure seamless integration with existing systems and to drive business growth through data-driven insights.

Responsibilities:

* Design and develop scalable data architectures using cloud-based technologies such as AWS and Azure
* Develop and maintain ETL processes to extract, transform, and load data from various sources
* Collaborate with data scientists to develop and deploy machine learning models
* Ensure data quality, security, and compliance with regulatory requirements
* Work with stakeholders to identify business needs and develop data solutions

Requirements:

* Bachelor's degree in Computer Science, Engineering, or related field
* 3+ years of experience in data engineering or a related field
* Strong understanding of data architecture, design patterns, and best practices
* Experience with cloud-based technologies such as AWS and Azure
* Proficiency in programming languages such as Python, Java, or C++
* Excellent problem-solving skills and attention to detail

Preferred Qualifications:

* Master's degree in Computer Science, Engineering, or related field
* Experience with big data technologies such as Hadoop, Spark, or NoSQL databases
* Familiarity with data visualization tools such as Tableau, Power BI, or D3.js
* Certification in data engineering or a related field

Benefits:

* Competitive salary and benefits package
* Opportunity to work with a leading technology business
* Collaborative and dynamic work environment
* Professional development opportunities

## Skills

### Required
- AWS
- Azure
- Python
- Java
- C++
- ETL
- data architecture
- data design patterns
- data quality
- data security
- regulatory compliance

### Nice to have
- Hadoop
- Spark
- NoSQL databases
- Tableau
- Power BI
- D3.js