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- Tasks: Join a dynamic team to build and maintain a vast data estate for cybercrime solutions.
- Company: Work with a leading UK-based SaaS organisation making waves in the cybercrime sector.
- Benefits: Enjoy remote work, generous holidays, paid volunteering days, private healthcare, and enhanced parental leave.
- Why this job: Be part of a scaling company that values innovation and offers impactful work in cybersecurity.
- Qualifications: Strong experience in Data Engineering, automation, AWS, and managing MongoDB clusters required.
- Other info: Competitive salary up to £90,000 with occasional travel expenses covered.
The predicted salary is between 54000 - 126000 £ per year.
Join a world-leading cybercrime SaaS organisation in an urgent, vital Data Engineer role to help build, improve and maintain their vast data estate which leverages the data for problem-solving.
Our client is headquartered in the UK and, whilst being well-established with significant sector success behind them, serving the largest names globally across the banking and government spaces amongst others, they are very much in 'scale up' mode and are looking to advance their capabilities, increase the quality of their offering and evolve their platform.
Required experience for the Data Engineer role:
- Strong background as a Data Engineer / Data Architect / DataOps Engineer with a strong focus on automation, security, performance and observability
- Experience using OpenSearch or Elasticsearch based search engines to design and deploy webscale SaaS solutions in high-volume environments
- Experience managing MongoDB clusters for high-availability and scalability
- AWS managed data service experience and experience with AWS cost management and optimisation
The package offered to the Data Engineer will consist of a salary of up to circa £90,000 with a fully remote working set up (expenses paid for when occasional travel to one of their offices is required), and benefits including a generous holiday allowance as well as additional paid days off for volunteering, private healthcare, enhanced parenting leave and more.
Franklin Bates is a leading IT recruitment consultancy specialising in Software Development, AI, Cybersecurity, Cloud, & Data. We provide high quality contract, interim and permanent IT professionals to a broad range of technology companies within the UK.
Data Engineer employer: Franklin Bates
Contact Detail:
Franklin Bates Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as OpenSearch, Elasticsearch, and MongoDB. Having hands-on experience or projects that showcase your skills with these tools can set you apart from other candidates.
✨Tip Number 2
Network with professionals in the data engineering field, especially those who work in cybercrime or SaaS environments. Engaging with industry groups on platforms like LinkedIn can help you gain insights and potentially get referrals for the role.
✨Tip Number 3
Prepare to discuss your experience with AWS managed data services and cost management during interviews. Be ready to share specific examples of how you've optimised costs or improved performance in previous roles.
✨Tip Number 4
Showcase your understanding of automation, security, and observability in data engineering. Consider preparing a brief presentation or case study that highlights your approach to these areas, as it can demonstrate your proactive mindset and technical expertise.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience as a Data Engineer, Data Architect, or DataOps Engineer. Focus on your skills in automation, security, performance, and observability, as these are crucial for the role.
Showcase Relevant Experience: Include specific examples of your work with OpenSearch or Elasticsearch, particularly in designing and deploying webscale SaaS solutions. Mention any experience managing MongoDB clusters and AWS managed data services.
Craft a Compelling Cover Letter: Write a cover letter that explains why you are passionate about the role and how your background aligns with the company's goals. Highlight your understanding of their sector and your enthusiasm for contributing to their scale-up phase.
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.
How to prepare for a job interview at Franklin Bates
✨Showcase Your Technical Skills
Be prepared to discuss your experience with data engineering tools and technologies, especially OpenSearch, Elasticsearch, and MongoDB. Highlight specific projects where you've successfully implemented these technologies, focusing on automation, security, and performance.
✨Demonstrate Problem-Solving Abilities
Since the role involves leveraging data for problem-solving, come equipped with examples of how you've tackled complex data challenges in the past. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Understand the Company’s Mission
Research the company’s goals and values, particularly their focus on cybercrime solutions. Being able to articulate how your skills align with their mission will show your genuine interest in the role and the organisation.
✨Prepare Questions for the Interviewers
Have insightful questions ready to ask your interviewers about the team dynamics, the company's future plans, and how they measure success in this role. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
