Staff Data Engineer (AWS)

Staff Data Engineer (AWS)

London Full-Time 48000 - 72000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead the Data Platform team, shaping technical direction and mentoring others.
  • Company: Join a challenger bank redefining financial services for overlooked customers.
  • Benefits: Enjoy career development opportunities in a forward-thinking environment.
  • Why this job: Be part of a mission-driven team focused on simplicity and transparency in finance.
  • Qualifications: Strong AWS skills, data architecture experience, and CI/CD expertise required.
  • Other info: Ideal for those passionate about engineering excellence and mentoring.

The predicted salary is between 48000 - 72000 £ per year.

A client in the challenger banking space is redefining how financial services should serve customers who are often overlooked by traditional banks. Focused on delivering clear, targeted mortgage and savings products, this organisation prioritises simplicity, transparency, and meaningful support during the moments that matter most.

This client is now seeking a highly experienced Software Engineer to take on the role of Staff Engineer (Tech Lead) within its Data Platform team. This is a key leadership role where you’ll be central to shaping the technical direction of the data engineering function. You’ll lead by example, offering technical mentorship while ensuring the team builds scalable, reliable, and secure data systems that align with wider business goals.

You’ll be responsible for developing and maintaining enterprise-scale data infrastructure within AWS, integrating data from numerous internal and external sources. The Data Platform functions as a core hub—making it easy and safe for teams to use and contribute to data systems. You’ll work with services like Lambda, S3, LakeFormation, Glue, Step Functions, Athena, EventBridge, SNS, SQS, and DynamoDB, and will be expected to navigate and manage data systems with a high degree of rigour and compliance. Familiarity with additional tools such as Redshift, RDS, and QuickSight will be advantageous during ongoing migrations from legacy environments.

Strong CI/CD expertise, especially using GitHub Actions, and hands-on experience with Infrastructure as Code (Terraform preferred) are essential. You’ll also evaluate and incorporate open-source or third-party tools to enhance performance and efficiency. Beyond technical implementation, you’ll contribute to shaping the product roadmap and collaborate with stakeholders across the business to help realise the full potential of the organisation’s data assets.

This role demands a strong foundation in data architecture, excellent development skills, and deep AWS proficiency. You should be adept at designing serverless systems, building resilient data pipelines, and leading technical conversations around system architecture. The ideal candidate will have a passion for engineering excellence, a quality-first mindset, and a strong interest in mentoring others and enabling their growth.

Additional strengths that would be beneficial but not essential include experience with Redshift, strong SQL capabilities, working knowledge of DynamoDB Streams, and an awareness of data privacy and regulatory standards within financial services. This is a great opportunity for someone looking to progress their career to the next level with genuine career development opportunities in a forward-thinking environment. Apply now!

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Contact Detail:

InterQuest Group Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Staff Data Engineer (AWS)

✨Tip Number 1

Familiarise yourself with the specific AWS services mentioned in the job description, such as Lambda, S3, and Glue. Having hands-on experience or projects that showcase your skills with these tools can set you apart during discussions.

✨Tip Number 2

Demonstrate your leadership abilities by preparing examples of how you've mentored others in previous roles. This will show that you're not just technically proficient but also capable of guiding a team towards success.

✨Tip Number 3

Stay updated on the latest trends in data engineering and AWS technologies. Being able to discuss recent developments or innovations in the field can impress interviewers and demonstrate your passion for continuous learning.

✨Tip Number 4

Prepare to discuss your experience with CI/CD processes and Infrastructure as Code, particularly with GitHub Actions and Terraform. Highlighting specific projects where you've implemented these practices can showcase your practical knowledge.

We think you need these skills to ace Staff Data Engineer (AWS)

AWS Proficiency
Data Architecture
Serverless System Design
Data Pipeline Development
CI/CD Expertise
Infrastructure as Code (Terraform)
Technical Mentorship
Data Integration
GitHub Actions
Scalable Data Systems
Compliance and Rigour in Data Management
SQL Skills
Familiarity with AWS Services (Lambda, S3, Glue, etc.)
Collaboration with Stakeholders
Open-source Tool Evaluation

Some tips for your application 🫡

Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Staff Data Engineer position. Familiarise yourself with the technologies mentioned in the job description, such as AWS services, CI/CD practices, and data architecture.

Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job description. Emphasise your expertise in AWS, data engineering, and any leadership roles you've held. Use specific examples to demonstrate your achievements in building scalable data systems.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of the company's mission. Mention how your background aligns with their focus on simplicity and transparency in financial services, and express your enthusiasm for mentoring others.

Proofread and Edit: Before submitting your application, carefully proofread your CV and cover letter for any spelling or grammatical errors. Ensure that your documents are clear, concise, and professional, as attention to detail is crucial in this role.

How to prepare for a job interview at InterQuest Group

✨Showcase Your AWS Expertise

Make sure to highlight your experience with AWS services like Lambda, S3, and DynamoDB. Be prepared to discuss specific projects where you've implemented these technologies, as this will demonstrate your hands-on knowledge and ability to manage data systems effectively.

✨Demonstrate Leadership Skills

As a Staff Data Engineer, you'll be expected to lead and mentor others. Share examples of how you've guided teams in the past, focusing on your approach to technical mentorship and fostering a collaborative environment.

✨Discuss CI/CD and Infrastructure as Code

Be ready to talk about your experience with CI/CD processes, particularly using GitHub Actions, and your familiarity with Infrastructure as Code tools like Terraform. Providing concrete examples of how you've implemented these practices will set you apart.

✨Understand the Business Context

This role is not just about technical skills; understanding the business goals is crucial. Research the company’s mission and values, and think about how your technical contributions can align with their objectives in the financial services sector.

Staff Data Engineer (AWS)
InterQuest Group
Location: London
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