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- Tasks: Lead the design and implementation of critical data infrastructure and products.
- Company: Dynamic tech company in Scotland with a hybrid work culture.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Why this job: Make a real impact by solving complex data challenges and mentoring fellow engineers.
- Qualifications: 8+ years in data engineering with strong skills in modern data tools and programming.
- Other info: Join a collaborative team focused on innovation and excellence in data solutions.
The predicted salary is between 36000 - 60000 £ per year.
We are seeking a Staff Data Engineer to lead the technical design and implementation of our most critical data infrastructure and products. In this senior-level individual contributor role, you’ll be responsible for designing scalable systems, setting data architecture standards, and solving complex technical challenges that power analytics, data science, and business functions across the company. You’ll collaborate with engineers, product managers, and business stakeholders to architect performant, reliable, and long-term data solutions that are customer-centric and business-aligned.
What You’ll Do:
- Design and build scalable, reliable, and high-performance data systems.
- Define and drive best practices for data modeling, ETL/ELT pipelines, and real-time streaming architectures.
- Set technical direction and architectural standards across the data platform.
- Work closely with cross-functional partners to meet evolving business and analytical needs.
- Own complex technical systems end-to-end, from concept to production.
- Advocate for engineering excellence and mentor other engineers on the team.
Technical Skills:
- 8+ years of experience in data engineering or a related field, with a focus on building scalable data systems and platforms.
- Strong expertise with modern data tools and frameworks such as Spark, dbt, Airflow, Kafka, Databricks, and cloud-native services (AWS, GCP, or Azure).
- Deep understanding of data modeling, distributed systems, streaming architectures, and ETL/ELT pipelines.
- Proficiency in SQL and at least one programming language such as Python, Scala, or Java.
- Demonstrated experience owning and delivering complex systems from architecture through implementation.
- Excellent communication skills with the ability to explain technical concepts to both technical and non-technical stakeholders.
Preferred Qualifications:
- Experience designing data platforms that support analytics, machine learning, and real-time operational workloads.
- Familiarity with data governance, privacy, and compliance frameworks (e.g., GDPR, HIPAA).
- Background in customer-centric or product-driven industries such as digital, eCommerce, or SaaS.
- Experience with infrastructure-as-code tools like Terraform and expertise in data observability and monitoring practices.
Staff Data Engineer, Scotland Permanent employer: Net Talent
Contact Detail:
Net Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Data Engineer, Scotland Permanent
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even local tech events. The more people you know, the better your chances of landing that Staff Data Engineer role.
✨Show Off Your Skills
Don’t just talk about your experience; showcase it! Create a portfolio or GitHub repository with projects that highlight your expertise in data engineering tools like Spark and Kafka. This will make you stand out to potential employers.
✨Ace the Interview
Prepare for technical interviews by brushing up on your SQL and programming skills. Practice explaining complex concepts clearly, as you'll need to communicate effectively with both technical and non-technical stakeholders.
✨Apply Through Our Website
Make sure to apply directly 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 Staff Data Engineer, Scotland Permanent
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Staff Data Engineer role. Highlight your experience with data systems, tools like Spark and Kafka, and any relevant projects that showcase your skills. We want to see how you can contribute to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how your background aligns with our needs. Don’t forget to mention your experience in leading technical designs and collaborating with cross-functional teams.
Showcase Your Technical Skills: In your application, be sure to highlight your technical expertise. Mention specific tools and frameworks you've worked with, like dbt or Airflow, and provide examples of complex systems you've owned from concept to production. We love seeing real-world applications of your skills!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all your materials in one go. Plus, it helps us keep track of your application better!
How to prepare for a job interview at Net Talent
✨Know Your Data Tools
Make sure you’re well-versed in the modern data tools mentioned in the job description, like Spark, dbt, and Kafka. Be ready to discuss your hands-on experience with these technologies and how you've used them to build scalable data systems.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of complex technical challenges you've faced in previous roles. Highlight how you approached these problems, the solutions you implemented, and the impact they had on the business.
✨Communicate Clearly
Since you'll be working with both technical and non-technical stakeholders, practice explaining your past projects in simple terms. This will demonstrate your ability to bridge the gap between engineering and business needs.
✨Emphasise Mentorship Experience
If you have experience mentoring other engineers, be sure to mention it. Discuss how you’ve helped others grow in their roles and how you advocate for engineering excellence within a team setting.
