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- Tasks: Join a team tackling big data challenges in cybersecurity through data pipelines and architecture.
- Company: A forward-thinking company that views security as a data-driven problem.
- Benefits: Enjoy fully remote work options and the chance to learn about cybersecurity.
- Why this job: Make an impact in cybersecurity while developing your data engineering skills in a supportive environment.
- Qualifications: Expertise in Apache Spark, Databricks, Python or Scala required; cybersecurity experience is a plus.
- Other info: Open to training strong candidates without prior cybersecurity experience.
The predicted salary is between 43200 - 72000 £ per year.
Social network you want to login/join with: Staff Data Engineer, Cybersecurity, London col-narrow-left Client: Location: London, United Kingdom Job Category: Other – EU work permit required: Yes col-narrow-right Job Reference: ff7003301cda Job Views: 5 Posted: 02.06.2025 Expiry Date: 17.07.2025 col-wide Job Description: My client approaches security as a big data problem—do you share this ethos? The role of data engineering in supporting cybersecurity functions has become significantly more critical. My client seeks a Staff Data Engineer with a deep understanding of data pipelines and architecture, adept at handling various customer requirements and limitations, ensuring effective data querying. The candidate should also be capable of building the necessary infrastructure and backend data pipelines to enhance security operations, detection, and response capabilities. Key Qualifications: Technical Skills: Expertise in Apache Spark, Databricks, and general ETL processes. Programming: Proficiency in Python or Scala. Data Architecture: Experience in building and optimizing data pipelines and infrastructure. Preferred Experience: Experience in personalization teams is advantageous but not essential. Cybersecurity Experience: While prior security experience is not mandatory, it is a plus. The client is prepared to train technically strong data engineers in cybersecurity. Location: Fully remote from any U.S. state Visa Sponsorship: Not available for this role If you possess the technical qualifications and are ready to tackle complex data challenges in a cybersecurity context, we encourage you to apply. #J-18808-Ljbffr
Staff Data Engineer, Cybersecurity employer: Iceberg Cyber Security
Contact Detail:
Iceberg Cyber Security Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Data Engineer, Cybersecurity
✨Tip Number 1
Familiarise yourself with the latest trends in cybersecurity and big data. Understanding how data engineering supports security functions will help you articulate your passion for the role during interviews.
✨Tip Number 2
Network with professionals in the cybersecurity field. Attend relevant meetups or webinars to connect with others who work in data engineering and cybersecurity, as they may provide insights or referrals.
✨Tip Number 3
Showcase your technical skills through personal projects or contributions to open-source initiatives. Demonstrating your expertise in Apache Spark, Databricks, or Python/Scala can set you apart from other candidates.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges related to data pipelines and architecture. Being able to solve problems on the spot will highlight your proficiency and readiness for the role.
We think you need these skills to ace Staff Data Engineer, Cybersecurity
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and qualifications required for the Staff Data Engineer position. Familiarise yourself with key technologies like Apache Spark and Databricks, as well as the importance of data pipelines in cybersecurity.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job description. Emphasise your expertise in data architecture, programming languages like Python or Scala, and any experience with ETL processes.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and cybersecurity. Mention specific projects or experiences that demonstrate your ability to build and optimise data pipelines, and express your eagerness to learn more about cybersecurity.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at Iceberg Cyber Security
✨Show Your Passion for Cybersecurity
Make sure to express your enthusiasm for cybersecurity and how it relates to data engineering. Share any personal projects or experiences that highlight your interest in the field, even if you don't have extensive professional experience.
✨Demonstrate Technical Proficiency
Be prepared to discuss your expertise in Apache Spark, Databricks, and ETL processes. You might be asked to solve a technical problem or explain your approach to building data pipelines, so brush up on these skills before the interview.
✨Highlight Problem-Solving Skills
Cybersecurity often involves tackling complex challenges. Prepare examples of how you've approached difficult problems in the past, particularly in data engineering contexts. This will show your potential employer that you can think critically under pressure.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to data engineering and cybersecurity. This not only shows your interest in the role but also helps you gauge if the company aligns with your values and career goals.
