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- Tasks: Join our Cybersecurity team to develop innovative security products and solutions.
- Company: Be part of a leading financial services company with a massive tech estate.
- Benefits: Enjoy a permanent role with options for remote work and great corporate perks.
- Why this job: Work on cutting-edge technology while making a real impact in cybersecurity.
- Qualifications: Experience with cloud applications, databases, and advanced analytics is essential.
- Other info: Located in Sheffield or Birmingham; ideal for tech-savvy problem solvers.
The predicted salary is between 48000 - 84000 £ per year.
Insight Global is looking for a Principal Engineer to join a leading company in the financial services industry in the Cybersecurity Science & Analytics (CSA) team to develop innovative products for securing one of the largest technology estates in the world. This senior technical role involves hands-on software engineering and oversight of technical strategy, focusing on advanced analytics solutions to cybersecurity problems. This is a perm role that is located in either the Sheffield or Birmingham Office.
Must Haves:
- Experience with cloud-based applications, preferably Azure.
- Proficiency in RDBMS (PostgreSQL, MySQL) and NoSQL (Cassandra, HBase, Elasticsearch).
- Build, operate, maintain, and support cloud infrastructure and data services.
- Automate and optimize data engineering pipelines.
- Utilize big data technologies (Databricks, Spark).
- Develop custom security applications, APIs, AI/ML models, and advanced analytic technologies.
- Experience with threat detection in Azure Sentinel, Databricks, MPP Databases (Snowflake), or Splunk.
- Expertise in network, endpoint, and cloud security, cryptography, malware analysis, vulnerability assessment, anomaly/intrusion detection, incident response, and offensive security.
- Proficiency in AI/ML security and automation.
- Experience with data science and analytics in Databricks, Synapse Analytics, and large-scale data warehouses (Snowflake, Redshift, Presto).
- Proficiency in data visualization tools (Databricks, PowerBI) and the Python data science ecosystem (Jupyter, Pandas, Numpy, Matplotlib).
Plusses:
- Financial services background
- Degree in cybersecurity
- Any advanced Data bricks qualifications
- Have lead teams of more than 10 people
- Recent involvement in a AI/ML project or programme
Cyber Security Engineer employer: Insight Global
Contact Detail:
Insight Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Cyber Security Engineer
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Azure, Databricks, and various databases. Having hands-on experience or projects that showcase your skills in these areas can set you apart from other candidates.
✨Tip Number 2
Network with professionals in the cybersecurity field, especially those working in financial services. Attend industry events, webinars, or local meetups to connect with potential colleagues and learn more about the company culture.
✨Tip Number 3
Showcase your problem-solving skills by preparing examples of how you've tackled complex cybersecurity challenges in the past. Be ready to discuss your thought process and the impact of your solutions during interviews.
✨Tip Number 4
Stay updated on the latest trends and threats in cybersecurity, particularly those relevant to cloud security and AI/ML applications. Being knowledgeable about current issues will demonstrate your passion for the field and your commitment to continuous learning.
We think you need these skills to ace Cyber Security Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in cloud-based applications, data engineering, and cybersecurity. Use specific keywords from the job description to demonstrate your fit for the role.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about cybersecurity and how your skills align with the company's needs. Mention any specific projects or experiences that showcase your expertise in AI/ML and data analytics.
Showcase Technical Skills: Clearly outline your proficiency in technologies mentioned in the job description, such as Azure, PostgreSQL, and Databricks. Provide examples of how you've used these tools in previous roles to solve complex problems.
Highlight Leadership Experience: If you have led teams or projects, make sure to include this in your application. Discuss your leadership style and how it has contributed to successful outcomes in your past roles, especially in cybersecurity contexts.
How to prepare for a job interview at Insight Global
✨Showcase Your Technical Skills
Be prepared to discuss your experience with cloud-based applications, especially Azure. Highlight your proficiency in RDBMS and NoSQL databases, as well as your familiarity with big data technologies like Databricks and Spark.
✨Demonstrate Problem-Solving Abilities
Expect to face scenario-based questions that assess your ability to tackle cybersecurity challenges. Prepare examples of how you've developed custom security applications or automated data engineering pipelines in the past.
✨Highlight Relevant Experience
If you have a background in financial services or have led teams, make sure to mention this. Discuss any recent AI/ML projects you've been involved in, as this is a plus for the role.
✨Prepare for Behavioural Questions
Be ready to answer questions about teamwork and leadership, especially if you've managed teams of more than 10 people. Use the STAR method (Situation, Task, Action, Result) to structure your responses effectively.
