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- Tasks: Lead the development of data strategies and build a team from scratch.
- Company: Join a global Fintech SaaS unicorn transforming how millions manage their data.
- Benefits: Enjoy a full-time role with opportunities for remote work and career growth.
- Why this job: Shape the future of data in a dynamic environment while working closely with the CTO.
- Qualifications: Extensive Data Engineering experience, cloud platforms knowledge, and strong database skills required.
- Other info: Be part of a pioneering team at a rapidly growing company.
The predicted salary is between 72000 - 108000 £ per year.
We are partnered with a global Fintech SaaS business who are looking to hire their first Principal Data Engineer. The company's SaaS platform is already used by millions, with millions of rows of data being shared daily. They are now looking to hire their first Principal Data Engineer to build out the team from the ground up. This hire will work directly with the CTO to shape the company’s data strategy, making key decisions about approaches, tooling and architecture. The first 3-6 months will be very hands-on, but you’ll soon scale and lead a team to implement the future of data at the company.
About you:
- Extensive experience working in Data Engineering, preferably at Lead/Principal level
- Experience in developing and maintaining cloud-based data warehouse
- Strong background working with Postgres and relational databases
- Experience working with cloud-based platforms (AWS or GCP) and IaC
- Experience with Beam or Dataflow preferred
Seniority level: Director
Employment type: Full-time
Job function: Information Technology
Industries: Software Development
Principal Data Engineer | Fintech Unicorn employer: Evoke Talent
Contact Detail:
Evoke Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Data Engineer | Fintech Unicorn
✨Tip Number 1
Network with professionals in the fintech and data engineering sectors. Attend industry meetups or webinars to connect with people who might have insights into the company or the role.
✨Tip Number 2
Showcase your hands-on experience with cloud-based platforms like AWS or GCP. Be prepared to discuss specific projects where you implemented these technologies, as this will demonstrate your practical knowledge.
✨Tip Number 3
Familiarise yourself with the latest trends in data architecture and tooling. Being able to discuss current best practices and innovations will show that you're not just experienced but also forward-thinking.
✨Tip Number 4
Prepare to articulate your vision for building a data team from scratch. Think about how you would approach team dynamics, recruitment, and mentoring, as this role involves leadership and strategic planning.
We think you need these skills to ace Principal Data Engineer | Fintech Unicorn
Some tips for your application 🫡
Understand the Role: Take time to thoroughly read the job description for the Principal Data Engineer position. Understand the key responsibilities and required skills, such as experience with cloud-based data warehouses and relational databases.
Tailor Your CV: Customise your CV to highlight relevant experience in Data Engineering, especially any leadership roles or projects that align with the company's needs. Emphasise your familiarity with tools like Postgres, AWS, or GCP.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your vision for shaping a data strategy. Mention specific experiences that demonstrate your ability to lead and innovate in a fast-paced environment.
Highlight Technical Skills: In your application, make sure to clearly list your technical skills, particularly those mentioned in the job description, such as experience with Beam or Dataflow. This will help you stand out as a qualified candidate.
How to prepare for a job interview at Evoke Talent
✨Showcase Your Technical Expertise
Be prepared to discuss your extensive experience in Data Engineering. Highlight specific projects where you've developed and maintained cloud-based data warehouses, particularly using Postgres and relational databases.
✨Demonstrate Leadership Skills
Since this role involves building a team from the ground up, be ready to share examples of how you've led teams in the past. Discuss your approach to mentoring and developing talent within a technical environment.
✨Understand the Company’s Data Strategy
Research the company’s current data strategy and be prepared to discuss how you would shape it. Think about the tooling and architecture you would recommend, and be ready to justify your choices.
✨Prepare for Hands-On Technical Questions
Expect to face hands-on technical questions, especially related to cloud platforms like AWS or GCP. Brush up on Infrastructure as Code (IaC) concepts and be ready to demonstrate your knowledge of Beam or Dataflow.
