Senior Data Engineer

Senior Data Engineer

Full-Time 36000 - 60000 £ / year (est.) Home office possible
S

At a Glance

  • Tasks: Build and optimise data pipelines using cutting-edge tools like dbt, Python, and AWS.
  • Company: Join a global leader in workforce management with a focus on innovation and flexibility.
  • Benefits: Enjoy remote work, generous leave, and opportunities for personal growth.
  • Why this job: Shape the future of data-driven decisions and AI innovation in a dynamic environment.
  • Qualifications: Experience in data engineering and proficiency in AWS services and data architecture.
  • Other info: Collaborate with diverse teams globally and contribute to meaningful projects.

The predicted salary is between 36000 - 60000 £ per year.

We want to help you “work in any way” — that means making time for family, commitments, and life outside of work so that you can have the best of both worlds. When you own what you do and are driven to deliver, you have the flexibility to decide where and how you work. Our roles aren’t just remote and hybrid first — they break free from the traditional ways of doing things, paving a way for a job that works for you.

How you will make a difference:

Imagine shaping the future of how data drives business decisions and AI innovation. As our Senior Data Engineer, you’ll help build a cutting-edge data mesh platform that empowers teams with scalable, reliable, and high-quality data. You love getting deep into architecture and tooling, but you also understand the bigger picture, how data transforms into real business value. In this role, your work will directly influence how product, analytics, AI, and business teams use and trust their data every day.

  • Build, maintain, and optimize end-to-end data pipelines using dbt, Python, PySpark, Polars, and SQL.
  • Operate and enhance our AWS data infrastructure, including Glue, Athena, S3, and supporting tools.
  • Design and evolve Apache Iceberg tables, managing schema evolution, partitioning, compaction, and efficient storage.
  • Drive data quality, observability, lineage, and monitoring across the entire data platform.
  • Translate business and analytical needs into scalable, maintainable, and high-performing data solutions.
  • Collaborate with data scientists, analysts, engineers, and product teams to deliver clean, trusted datasets and APIs.
  • Contribute to the ongoing evolution of our data mesh, developing new patterns, enhancements, and architecture improvements.
  • Build AI/ML-ready data environments and datasets that enable intelligent products and predictive insights.
  • Document systems, design decisions, and processes to ensure clarity, consistency, and smooth onboarding.

What will make you stand out:

  • Hands-on experience in data engineering, data infrastructure, or platform roles.
  • Deep expertise with dbt, Python, and SQL, building reliable and scalable pipelines.
  • Extensive experience with AWS services: including Glue, Athena, S3, IAM, and related tools.
  • Proven production experience with Apache Iceberg or similar table formats / lakehouse technologies.
  • Skilled in PySpark and/or Polars for processing large-scale datasets efficiently.
  • Track record of designing scalable, modular data architectures that evolve with business needs.
  • Exceptional communicator, able to translate complex technical concepts for diverse stakeholders.
  • Thrive in fast-paced, dynamic environments, adapting to shifting priorities with ease.
  • Confidence in mentoring or guiding junior engineers, fostering team growth and knowledge sharing.
  • Experience building data systems for AI/ML applications, bringing models and analytics to life.
  • Familiarity with pipeline orchestration patterns and best practices, streamlining workflows.
  • Hands-on exposure to infrastructure-as-code tools like Terraform or CDK, helping automate and scale infrastructure.
  • Experience with data cataloging, lineage, or governance tools, improving trust and visibility across datasets.
  • Experience with real-time or streaming data pipelines, adding speed and responsiveness to data flows.

Who we are and what we do:

Safeguard Global is….global! With offices worldwide and a workforce in 50+ counties, we enable global expansion without the risk by helping 1,500+ customers to hire, manage, and pay their employees in nearly 190 countries. It’s all about people! Join us to meet diverse folks, explore new cultures, and connect with amazing talent from around the globe.

Our Global Benefits:

  • Autonomy and Flexibility (work in any way): Remote first, with the flexibility to include life needs like school runs and gym breaks in your schedule, all while maintaining a high standard of work.
  • Generous leave: Enjoy a competitive leave package including paid bonding leaves for new additions to your family.
  • Make a difference: Get 2 paid charitable days off to contribute to causes you believe in.
  • Corporate bonus/SIP: All Guardians are eligible for our annual bonus scheme or sales incentive plan.
  • International environment: Grow your network internationally and collaborate across the world. Interact, discover cultures, and tap into local expertise.
  • Human centered culture: We emphasize the people factor in everything we do. Our nurturing culture ensures your ideas reach our leaders and your contributions get the recognition they deserve.
  • Learning: We support your continuous growth by providing access to 2 learning platforms, where you can learn at your own pace.

Next Steps:

To apply, please click on the following link. We wish you the best with your application. Our Guardian promise to you is to keep in touch to arrange the next stage should your application meet the position's requirements, or provide a gentle update if you have been unsuccessful at this time.

Welcome to the future of work! At Safeguard Global, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and Guardians. Safeguard Global builds adaptive solutions for organizations seeking to thrive in the global economy. Through a combination of workforce management data, technologies, services and market expertise, Safeguard Global enables success through smarter, more efficient global employee management, recruitment, payroll, onboarding, expense management and more.

Senior Data Engineer employer: Safeguard Global Group

At Safeguard Global, we pride ourselves on fostering a human-centred culture that prioritises flexibility and autonomy, allowing our Senior Data Engineers to thrive in a remote-first environment. With generous leave policies, opportunities for international collaboration, and a commitment to continuous learning, we empower our employees to make meaningful contributions while balancing their personal lives. Join us to be part of a diverse team that values your ideas and supports your professional growth in shaping the future of data-driven business decisions.
S

Contact Detail:

Safeguard Global Group Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Engineer

Tip Number 1

Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.

Tip Number 2

Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those using dbt, Python, and AWS. This gives potential employers a taste of what you can do.

Tip Number 3

Prepare for interviews by practising common data engineering questions and scenarios. Think about how you’d explain complex concepts simply – it’s all about communication!

Tip Number 4

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

We think you need these skills to ace Senior Data Engineer

Data Engineering
AWS Services
dbt
Python
SQL
PySpark
Polars
Apache Iceberg
Data Pipeline Optimization
Data Quality Monitoring
Data Architecture Design
AI/ML Data Environments
Infrastructure-as-Code
Real-time Data Processing
Communication Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with dbt, Python, and AWS services, as these are key for us. Use specific examples that showcase your skills in building data pipelines and working with large datasets.

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data engineering and how you can contribute to our cutting-edge data mesh platform. Don’t forget to mention your experience with Apache Iceberg and any relevant projects you've worked on.

Showcase Your Communication Skills: As a Senior Data Engineer, you'll need to communicate complex ideas clearly. In your application, demonstrate your ability to translate technical concepts for diverse stakeholders. This could be through examples of past collaborations or mentoring experiences.

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 shows you’re keen on joining our team at StudySmarter!

How to prepare for a job interview at Safeguard Global Group

Know Your Tech Stack

Make sure you’re well-versed in the technologies mentioned in the job description, like dbt, Python, and SQL. Brush up on your AWS services knowledge, especially Glue, Athena, and S3, as these will likely come up during technical discussions.

Showcase Your Problem-Solving Skills

Prepare to discuss specific examples of how you've tackled data engineering challenges in the past. Think about times when you designed scalable data architectures or improved data quality, and be ready to explain your thought process.

Communicate Clearly

As a Senior Data Engineer, you'll need to translate complex concepts for various stakeholders. Practice explaining your previous projects in simple terms, focusing on the impact they had on the business and how you collaborated with other teams.

Ask Insightful Questions

Prepare thoughtful questions about the company’s data strategy, team dynamics, and future projects. This shows your genuine interest in the role and helps you assess if the company culture aligns with your values.

Land your dream job quicker with Premium

You’re marked as a top applicant with our partner companies
Individual CV and cover letter feedback including tailoring to specific job roles
Be among the first applications for new jobs with our AI application
1:1 support and career advice from our career coaches
Go Premium

Money-back if you don't land a job in 6-months

S
Similar positions in other companies
UK’s top job board for Gen Z
discover-jobs-cta
Discover now
>