Data Engineer - Hybrid, Modern Data Platform & MVPs

Elemis; United Kingdom; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

A leading wellness brand in the UK is seeking a Data Engineer to be a core part of their IT Support, Infrastructure & Security team. The role involves designing and maintaining scalable data pipelines using tools like PySpark and SQL, collaborating with cross-functional teams, and contributing to a data-driven business approach. The position offers hybrid work flexibility, allowing for a balance of office and remote work. This is an exciting opportunity to join a dynamic team dedicated to data quality and innovation.

Benefits

Generous Staff Discount

Excellent well-being policies

Generous Holiday Allowance

Company Pension Scheme

Healthcare Cash Plan

Employee Assistance Programme

Cycle to Work Scheme

Season Ticket Loan

Qualifications

• Demonstrated ability to design, build, and maintain scalable data pipelines.
• Experience with troubleshooting and optimizing existing data pipelines.
• Ability to communicate effectively with technical and business teams.

Responsibilities

• Design, build, and maintain scalable data pipelines using PySpark and SQL.
• Extract and integrate data from multiple sources into star schema data models.
• Collaborate with cross-functional teams to meet business data needs.

Skills

Proficiency in PySpark

Proficiency in SQL

Experience designing star schema models

Familiarity with data integration from APIs

Strong team collaboration skills

Education

Degree Level Education in a numerate subject

Microsoft BI Certifications

Job description

A leading wellness brand in the UK is seeking a Data Engineer to be a core part of their IT Support, Infrastructure & Security team. The role involves designing and maintaining scalable data pipelines using tools like PySpark and SQL, collaborating with cross-functional teams, and contributing to a data-driven business approach. The position offers hybrid work flexibility, allowing for a balance of office and remote work. This is an exciting opportunity to join a dynamic team dedicated to data quality and innovation.