At a Glance
- Tasks: Build and maintain a cutting-edge data platform for advanced analytics and machine learning.
- Company: Join a forward-thinking cybersecurity team dedicated to innovation and inclusivity.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Dynamic environment with a commitment to diversity and career development.
- Why this job: Make a real impact on security while working with the latest technologies.
- Qualifications: Experience in Python, SQL, and cloud services; mentoring skills are a plus.
The predicted salary is between 60000 - 80000 £ per year.
As the Senior Data Platform Engineer in the Cyber Data Platform team, you will play a key role in building and maintaining a robust data platform that enables users to develop advanced analytics, machine learning, and GenAI solutions to strengthen our security defences. You will collaborate closely with cross‑functional data teams to ensure the platform is scalable, secure, and aligned with cybersecurity goals. Also, you will contribute to the data platform architecture and mentor junior team members to deliver high‑quality data services.
Responsibilities and Qualifications
- Design, build and manage realtime, near realtime and batch data architectures that support threat detection, incident response and reporting through advanced analytics, machine learning and GenAI capabilities.
- Implement and manage automated frameworks for integrating data from various security sources into the security data lake, and for moving data between raw, trusted and curated data layers.
- Produce high‑quality code, conduct thorough peer reviews and provide constructive feedback.
- Implement automations and DevOps practices to streamline deployment, configuration and management of data platform components.
- Effectively communicate technical concepts and solutions to individuals with varying technical expertise across departments.
- Solid experience with Python and proficiency in SQL.
- Experience building data platforms on cloud services such as Databricks on Azure or GCP BigQuery, and big data technologies like Spark or Flink.
- Solid grasp of Kubernetes, CI/CD and Terraform.
- Working knowledge of ETL and ELT frameworks and orchestration tools such as Airflow and dbt.
- Ability to provide clear input, guide and empower junior team members to achieve desired outcomes.
- Familiarity with machine learning and AI tools is desirable.
- Knowledge of cybersecurity principles and practices.
Equal Opportunity
We're proud to be an accredited Disability Confident Leader, where everyone's welcome. We commit to providing a fully inclusive and accessible recruitment process. If you need support with your application, click here for more information. And if you're interested in joining our team but don't tick every box, don't let that hold you back from applying.
Senior Data Platform Engineer in Welwyn Garden City employer: WeAreTechWomen
As a Senior Data Platform Engineer, you will thrive in a dynamic and inclusive work environment that prioritises innovation and collaboration. Our commitment to employee growth is evident through mentorship opportunities and a culture that encourages continuous learning, particularly in the rapidly evolving fields of data analytics and cybersecurity. Located in a vibrant area, we offer competitive benefits and a supportive atmosphere where your contributions directly enhance our security capabilities.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Platform Engineer in Welwyn Garden City
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to data platforms, machine learning, or cybersecurity. This gives you a chance to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on technical concepts and practising common interview questions. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team!
We think you need these skills to ace Senior Data Platform Engineer in Welwyn Garden City
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Senior Data Platform Engineer role. Highlight your experience with Python, SQL, and cloud services like Databricks or GCP BigQuery to catch our eye!
Showcase Your Projects:Include specific examples of projects where you've designed and built data architectures. We love seeing how you've implemented advanced analytics or machine learning solutions in real-world scenarios.
Be Clear and Concise:When writing your cover letter, keep it straightforward. Explain why you're passionate about cybersecurity and how your background aligns with our goals. We appreciate clarity and enthusiasm!
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at WeAreTechWomen
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, SQL, and cloud services such as Databricks on Azure or GCP BigQuery. Brush up on your knowledge of big data technologies like Spark or Flink, as well as Kubernetes and CI/CD practices. Being able to discuss these confidently will show that you're ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've designed and built data architectures for threat detection or incident response. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help you demonstrate your ability to tackle real-world challenges and contribute to the team’s goals.
✨Communicate Clearly
Since you'll be working with cross-functional teams, practice explaining complex technical concepts in simple terms. Think about how you would describe your work to someone without a technical background. This skill is crucial for collaboration and mentoring junior team members, so make it a point to highlight your communication abilities during the interview.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data platform architecture, their approach to cybersecurity, and how they integrate machine learning and GenAI solutions. This not only shows your genuine interest in the role but also gives you a better understanding of how you can contribute to their objectives.
