Spark AWS Data Engineer in Glasgow: UK-Based Applicants Only

Capgemini is seeking a Spark AWS Data Engineer in Glasgow, Scotland, offering a salary of £47,037.09. This full-time Tech role is ideal for UK-based applicants with existing right-to-work, though foreign applicants are encouraged to enquire directly with the employer regarding eligibility. The position offers hybrid working, blending office and remote work for flexibility.

Job Description

This role involves designing, building, and maintaining scalable data pipelines, data lakes, and data warehouse solutions specifically on AWS. You will be at the forefront of developing high-performance data engineering solutions.

The focus is on utilising PySpark, Spark, Python, and various AWS services to enable secure, reliable, and efficient data processing and analytics across enterprise platforms. This position is crucial for enhancing data capabilities within Capgemini's extensive operations.

Requirements

• Proven experience in designing, building, and maintaining scalable data pipelines.
• Strong proficiency with PySpark, Spark, and Python.
• Extensive experience with AWS services, particularly those related to data engineering.
• Ability to develop high-performance data solutions for enterprise platforms.
• Understanding of data lakes and data warehouse solutions.
• Applicants must possess existing right-to-work in the UK.

Benefits

• Competitive salary of £47,037.09.
• Opportunity to work with cutting-edge AWS data technologies.
• Hybrid working model offering flexibility.
• Be part of a global leader in consulting, technology services, and digital transformation.
• Professional development and career growth opportunities within Capgemini.

How to Prepare

For Nigerian and African immigrants targeting this Spark AWS Data Engineer role, it's crucial to tailor your application to UK standards. Focus on highlighting your technical skills in PySpark, Spark, Python, and AWS services, ensuring your CV reflects UK-centric project experience. Emphasise any transferable UK-recognised credentials or certifications in cloud platforms like AWS.

Ensure your LinkedIn profile is polished and tuned to UK employers, showcasing your expertise in data engineering. While DBS checks are not typically required for this tech role, strong professional references are always beneficial. Your cover letter should clearly articulate your relevant experience and enthusiasm for the role, addressing how your skills align with Capgemini's needs in a UK context.

• Refine your CV to a UK format, focusing on quantifiable achievements in data engineering.
• Highlight specific projects where you've used PySpark, Spark, Python, and AWS services.
• Obtain relevant AWS certifications (e.g., AWS Certified Data Analytics – Specialty) to boost your profile.
• Prepare a compelling cover letter that addresses your right-to-work status or intention to enquire.
• Network on LinkedIn with UK-based data engineers and Capgemini employees.

Visa Sponsorship & Foreigner Eligibility

Visa sponsorship is NOT explicitly advertised for this role. The employer prefers UK-based applicants who already possess the existing right-to-work. Foreign applicants (non-UK residents) may still apply but should clearly confirm their eligibility and visa status directly with Capgemini during the application process to avoid misunderstandings.