Senior Data Engineer - Remote-First Data Mesh & AI Pipelines
Senior Data Engineer - Remote-First Data Mesh & AI Pipelines

Senior Data Engineer - Remote-First Data Mesh & AI Pipelines

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

  • Tasks: Build and optimise data pipelines to drive business decisions.
  • Company: Global workforce management firm with a focus on innovation.
  • Benefits: Remote-first work, promoting work-life balance and competitive salary.
  • Why this job: Shape the future of data solutions in a dynamic environment.
  • Qualifications: Expertise in dbt, Python, SQL, and AWS services required.
  • Other info: Join a team that values creativity and offers career growth.

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

A global workforce management firm is seeking a Senior Data Engineer to shape how data drives business decisions. In this role, you will build and optimize data pipelines, enhance AWS infrastructure, and ensure data quality across platforms.

Requires deep expertise in dbt, Python, SQL, and experience with AWS services. You will work in a remote-first environment, promoting work-life balance while contributing to innovative data solutions.

Senior Data Engineer - Remote-First Data Mesh & AI Pipelines employer: Safeguard Global Group

As a global workforce management firm, we pride ourselves on being an excellent employer by fostering a remote-first culture that prioritises work-life balance and employee well-being. Our commitment to innovation in data solutions provides ample opportunities for professional growth and development, allowing you to thrive in your role as a Senior Data Engineer while collaborating with a diverse team of experts. Join us to be part of a forward-thinking organisation that values your contributions and supports your career aspirations.
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Contact Detail:

Safeguard Global Group Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Engineer - Remote-First Data Mesh & AI Pipelines

✨Tip Number 1

Network like a pro! Reach out to folks in the industry on LinkedIn or join relevant online communities. We can’t stress enough how personal connections can open doors to opportunities that aren’t even advertised.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your data pipelines, AWS projects, or any cool stuff you’ve built with dbt and Python. This gives potential employers a taste of what you can do and sets you apart from the crowd.

✨Tip Number 3

Prepare for those interviews! Brush up on your SQL and Python skills, and be ready to discuss your experience with AWS services. We recommend practising common data engineering scenarios to demonstrate your problem-solving abilities.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!

We think you need these skills to ace Senior Data Engineer - Remote-First Data Mesh & AI Pipelines

Data Pipeline Development
AWS Infrastructure Management
Data Quality Assurance
dbt
Python
SQL
Cloud Services
Remote Work Collaboration
Data Solutions Innovation

Some tips for your application 🫡

Show Off Your Skills: Make sure to highlight your expertise in dbt, Python, SQL, and AWS services. We want to see how your skills align with the role, so don’t hold back on showcasing your experience!

Tailor Your Application: Take a moment to customise your application for this specific role. Mention how you can contribute to building and optimising data pipelines and enhancing AWS infrastructure. We love seeing candidates who take the time to connect their experience with our needs.

Keep It Clear and Concise: While we appreciate detail, clarity is key! Make sure your application is easy to read and gets straight to the point. Use bullet points if necessary to make your achievements stand out.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!

How to prepare for a job interview at Safeguard Global Group

✨Know Your Tech Inside Out

Make sure you brush up on your skills in dbt, Python, SQL, and AWS services. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.

✨Showcase Your Problem-Solving Skills

Prepare to share examples of how you've built or optimised data pipelines in the past. Think about the impact your work had on business decisions and be ready to explain your thought process during those projects.

✨Understand the Company’s Data Vision

Research the global workforce management firm and understand their approach to data-driven decision-making. This will help you align your answers with their goals and demonstrate that you're genuinely interested in contributing to their innovative data solutions.

✨Embrace the Remote-First Culture

Since this role is remote-first, be prepared to discuss how you manage your time and maintain productivity while working from home. Share any tools or strategies you use to stay organised and connected with your team.

Senior Data Engineer - Remote-First Data Mesh & AI Pipelines
Safeguard Global Group
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