At a Glance
- Tasks: Build and optimise data pipelines, enhancing our AWS infrastructure and driving data quality.
- Company: Join Safeguard Global, a diverse company enabling global expansion with a human-centred culture.
- Benefits: Enjoy remote flexibility, generous leave, and access to learning platforms for continuous growth.
- Other info: Collaborate globally and make a real impact while enjoying a supportive work-life balance.
- Why this job: Shape the future of data-driven decisions and AI innovation in a dynamic environment.
- Qualifications: Experience in data engineering, AWS services, and strong communication skills are essential.
The predicted salary is between 60000 - 80000 £ per year.
Why join Safeguard Global? 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.
- 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+ countries, 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 – Remote first, with the flexibility to include life needs like school runs and gym breaks in your schedule while maintaining a high standard of work.
- Generous leave – Competitive leave package including paid bonding leaves for new additions to your family.
- Make a difference – 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.
- Human-centered culture – We emphasize the people factor in everything we do, ensuring your ideas reach leaders and your contributions receive recognition.
- Learning – We support your continuous growth by providing access to 2 learning platforms.
At Safeguard Global, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and Guardians.
Senior Data Engineer employer: SafeGuard World International Limited (UK)
At Safeguard Global, we pride ourselves on fostering a human-centred culture that prioritises flexibility and work-life balance, allowing our employees to thrive both personally and professionally. As a Senior Data Engineer, you will not only have the opportunity to shape innovative data solutions but also benefit from generous leave policies, international collaboration, and continuous learning opportunities that empower your career growth. Join us in a dynamic environment where your contributions are valued, and you can make a meaningful impact on a global scale.
Contact Details:
SafeGuard World International Limited (UK) Recruitment 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 current employees at Safeguard Global on LinkedIn. A friendly chat can give you insider info and might just get your application noticed.
✨Tip Number 2
Show off your skills in action! If you’ve got a portfolio or GitHub with projects related to data engineering, make sure to share it. It’s a great way to demonstrate your expertise beyond the CV.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge. Be ready to discuss how you've tackled challenges in data architecture and how you can contribute to building that cutting-edge data mesh platform.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets into the right hands. Plus, it shows you’re genuinely interested in joining the team.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Senior Data Engineer role. Highlight your experience with dbt, Python, and AWS services, as these are key to what we’re looking for. Show us how your skills align with our mission!
Showcase Your Projects:Don’t just list your skills; give us examples of projects where you’ve built or optimised data pipelines. We love seeing real-world applications of your expertise, especially if they relate to AI/ML environments or data mesh architectures.
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language to explain your technical experience and how it translates into business value. We appreciate a well-structured application that’s easy to read!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets to the right people. Plus, you’ll find all the details about the role and our company culture there!
How to prepare for a job interview at SafeGuard World International Limited (UK)
✨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 experience with AWS services such as Glue and Athena, and be ready to discuss how you've used these tools to build scalable data pipelines.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex data challenges in the past. Think about times when you designed modular data architectures or improved data quality. This will demonstrate your ability to translate business needs into effective data solutions.
✨Communicate Clearly
As a Senior Data Engineer, you'll need to explain technical concepts to non-technical stakeholders. Practice articulating your thoughts clearly and concisely, focusing on how your work impacts the business. This will show that you can bridge the gap between tech and business.
✨Emphasise Collaboration
Highlight your experience working with cross-functional teams, including data scientists and product managers. Be prepared to discuss how you’ve contributed to team growth and knowledge sharing, as this role requires collaboration to deliver clean, trusted datasets.
