# Staff Data Engineer

**Company**: Marks & Spencer
**Location**: United Kingdom
**Work arrangement**: hybrid
**Experience**: staff
**Job type**: full-time
**Category**: Data Science
**Industry**: Retail

**Apply**: https://fa-eqid-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/115693?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_1b09dcf3-51d

## Description

As a Staff Data Engineer at Marks & Spencer, you will play a crucial role in designing, building, and maintaining high-quality, reliable data solutions with a high degree of automation in the cloud.

You will provide technical leadership to a small squad of engineers, own complex tasks in the backlog, and deliver them routinely with no significant issues. Additionally, you will lead the development of M&S standard data frameworks and policies, ensuring they are understood and adopted.

The benefits of working at M&S include:

- 20% colleague discount across all M&S products and many third-party brands

- Competitive holiday entitlement with the potential to buy extra holiday days

- Discretionary bonus schemes

- A generous Defined Contribution Pension Scheme and Life Assurance

- Dedicated welcome and tailored induction

- Amazing perks and discounts via the M&S Choices portal

- Industry-leading parental, adoption, and neonatal policies

- Access to wellbeing support, including a 24/7 Virtual GP and PAM Assist

- A charity volunteer day

To be successful in this role, you will need:

- A demonstrable leadership mentality, business acuity, and big-picture approach

- Expertise in cloud-based data technologies and data warehousing design principles, preferably Azure

- Experience with ETL tools, such as Databricks and SQL

- Experience with Python, SQL, and Spark

M&S is committed to building diverse and representative teams, where everyone can bring their whole selves to work and be at their best.

For more fresh new jobs, check out [yubhub.co](https://yubhub.co/).

## Skills

### Required
- Azure
- Databricks
- SQL
- Python
- Spark
- ETL

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Source: [Apply at fa-eqid-saasfaprod1.fa.ocs.oraclecloud.com](https://fa-eqid-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/115693?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)