At a Glance
- Tasks: Shape the future of data-driven decisions and AI innovation as a Senior Data Engineer.
- Company: Join Safeguard Global, a diverse and innovative company with a global presence.
- Benefits: Enjoy remote work flexibility, generous leave, and access to learning platforms.
- Why this job: Make a real impact by building cutting-edge data solutions that empower teams worldwide.
- Qualifications: Experience in data engineering, AWS services, and strong communication skills are essential.
- Other info: Collaborate with diverse teams and grow your career in a supportive, human-centred culture.
The predicted salary is between 36000 - 60000 ÂŁ 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.
- Help build a cutting‑edge data mesh platform that empowers teams with scalable, reliable, and high‑quality data.
- Get deep into architecture and tooling while understanding how data transforms into real business value.
- 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+ 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 (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.
- Human centred 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.
Senior Data Engineer employer: Safeguard Global
Contact Detail:
Safeguard Global 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 current employees at Safeguard Global on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can confidently discuss your experience with dbt, Python, and AWS services. We want to see how you can bring value to the team!
✨Tip Number 3
Showcase your problem-solving skills during interviews. Be ready to share examples of how you've tackled challenges in data engineering. This is your chance to shine and demonstrate your expertise!
✨Tip Number 4
Don’t forget to follow up after your interview! A quick thank-you email can leave a lasting impression and shows your enthusiasm for the role. Plus, it keeps you on their radar as they make decisions.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Show Your Passion for Data: When you're writing your application, let your enthusiasm for data engineering shine through! Talk about what excites you about building data solutions and how you see data transforming businesses. We love seeing candidates who are genuinely passionate about their work.
Tailor Your Application: Make sure to customise your application to highlight your experience with the specific tools and technologies mentioned in the job description, like dbt, Python, and AWS services. We want to see how your skills align with what we're looking for, so don’t hold back!
Be Clear and Concise: While we appreciate detail, clarity is key! Make your application easy to read by using bullet points and clear headings. This helps us quickly understand your qualifications and how you can contribute to our team.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us that you’re serious about joining our team at Safeguard Global!
How to prepare for a job interview at Safeguard Global
✨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 too, especially Glue, Athena, and S3, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've designed scalable data architectures or optimised data pipelines. Use the STAR method (Situation, Task, Action, Result) to structure your answers and clearly demonstrate how your contributions made a difference.
✨Communicate Clearly
As an exceptional communicator, you’ll need to explain complex technical concepts to diverse stakeholders. Practice articulating your thoughts clearly and concisely, focusing on how your work translates into business value and impacts various teams.
✨Emphasise Team Collaboration
Highlight your experience working with cross-functional teams, such as data scientists and product teams. Be ready to share how you’ve contributed to team growth, mentored junior engineers, or fostered knowledge sharing in previous roles.