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- Tasks: Lead the design and implementation of critical data infrastructure and products.
- Company: Join a forward-thinking company focused on innovative data solutions.
- Benefits: Enjoy hybrid work options and opportunities for professional growth.
- Why this job: Be at the forefront of data engineering, solving complex challenges and mentoring others.
- Qualifications: 8+ years in data engineering with expertise in modern data tools and programming languages.
- Other info: Shortlisting this week, so apply now to seize this exciting opportunity!
The predicted salary is between 48000 - 72000 £ per year.
We are working exclusively on an exciting opportunity for 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 OR 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.
Senior Data Engineer employer: Net Talent
Contact Detail:
Net Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network with professionals in the data engineering field, especially those who work with the tools and frameworks mentioned in the job description. Attend meetups or webinars to connect with potential colleagues and learn about their experiences.
✨Tip Number 2
Showcase your expertise by contributing to open-source projects or writing articles on platforms like Medium. This not only demonstrates your knowledge but also helps you build a portfolio that can impress hiring managers.
✨Tip Number 3
Prepare for technical interviews by practising coding challenges related to data engineering. Focus on SQL queries, data modelling scenarios, and system design questions to ensure you're ready to showcase your skills.
✨Tip Number 4
Research StudySmarter's current data infrastructure and products. Understanding our specific challenges and goals will allow you to tailor your discussions during interviews, demonstrating your genuine interest in the role and the company.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering, especially focusing on scalable systems and the specific tools mentioned in the job description, such as Spark, dbt, and cloud services.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about data engineering and how your background aligns with the responsibilities of the role. Mention specific projects where you've demonstrated your ability to design and implement complex data systems.
Showcase Technical Skills: Clearly outline your technical skills in your application. Include your proficiency in SQL and programming languages like Python or Scala, and provide examples of how you've used these skills in past roles.
Highlight Collaboration Experience: Since the role involves working closely with cross-functional teams, include examples of how you've successfully collaborated with engineers, product managers, and business stakeholders to achieve common goals.
How to prepare for a job interview at Net Talent
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with modern data tools and frameworks like Spark, dbt, and Kafka. Highlight specific projects where you've designed scalable data systems and how you overcame technical challenges.
✨Demonstrate Problem-Solving Skills
Expect to face scenario-based questions that assess your ability to solve complex technical problems. Use the STAR method (Situation, Task, Action, Result) to structure your answers and illustrate your thought process.
✨Communicate Effectively
Since you'll be collaborating with both technical and non-technical stakeholders, practice explaining complex concepts in simple terms. This will show your ability to bridge the gap between different teams and ensure everyone is on the same page.
✨Prepare for Cultural Fit Questions
Research the company's values and culture. Be ready to discuss how your background in customer-centric industries aligns with their mission. This will demonstrate your commitment to contributing positively to the team environment.
