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- Tasks: Lead the development of data pipelines and APIs while mentoring a talented engineering team.
- Company: Dynamic financial technology company focused on innovation and growth.
- Benefits: Competitive salary, equity options, and a flexible hybrid working environment.
- Why this job: Shape the future of data engineering in a supportive and innovative setting.
- Qualifications: Proven leadership in data engineering with expertise in Dagster, BigQuery, and Python.
- Other info: Join a collaborative team dedicated to pushing the boundaries of fintech.
The predicted salary is between 48000 - 72000 £ per year.
A financial technology company is searching for a Data Engineering Lead to oversee the technical roadmap for its data platform.
Responsibilities include:
- Delivering reliable APIs
- Enhancing data quality
- Mentoring the engineering team
The ideal candidate has:
- Strong data engineering leadership experience
- Expertise in Dagster
- Advanced skills in BigQuery and Python
This role offers competitive salary, equity options, and a supportive hybrid working environment.
Data Engineering Lead: Scale Pipelines, APIs & Observability employer: 9Fin Limited
Contact Detail:
9Fin Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Lead: Scale Pipelines, APIs & Observability
✨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 involving APIs, data quality improvements, or any work with Dagster and BigQuery. This will give us a tangible sense of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering scenarios. Be ready to discuss how you've tackled challenges in the past, particularly around mentoring teams and delivering reliable solutions. We love hearing about real-world experiences!
✨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 us you’re genuinely interested in joining our team and contributing to our mission.
We think you need these skills to ace Data Engineering Lead: Scale Pipelines, APIs & Observability
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering, especially with Dagster, BigQuery, and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about leading data engineering teams and how you can enhance our data platform. Keep it engaging and personal – we love to see your personality!
Showcase Leadership Experience: Since this role involves mentoring, make sure to highlight any leadership roles you've had in the past. We’re looking for someone who can inspire and guide our engineering team, so share those experiences that demonstrate your ability to lead.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts and let us know why you’d be a great fit!
How to prepare for a job interview at 9Fin Limited
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Dagster, BigQuery, and Python. Be ready to discuss how you've used these technologies in past projects, as well as any challenges you've faced and how you overcame them.
✨Showcase Your Leadership Skills
Since this role involves mentoring the engineering team, prepare examples of how you've successfully led teams in the past. Think about specific situations where you guided your team through technical challenges or helped them grow their skills.
✨Understand the Company’s Data Needs
Research the financial technology company and its data platform. Familiarise yourself with their products and services, and think about how you can enhance their data quality and API reliability. This will show that you're genuinely interested in the role and the company.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their current data challenges, team dynamics, and future goals. This not only demonstrates your interest but also helps you gauge if the company is the right fit for you.
