At a Glance
- Tasks: Lead the development of data management technology for private markets, collaborating with various teams.
- Company: Join Preqin, part of BlackRock, revolutionising private markets data and technology globally.
- Benefits: Enjoy flexible time off, education reimbursement, and comprehensive health resources.
- Why this job: Be part of a mission to enhance data transparency and empower finance decisions with cutting-edge technology.
- Qualifications: Strong skills in C#, .NET core, Python, REACT.JS, and Postgres; experience with data-centric solutions required.
- Other info: Hybrid work model promotes collaboration while allowing flexibility; ideal for growth-minded individuals.
The predicted salary is between 48000 - 84000 £ per year.
This role sits within Preqin, a part of BlackRock. Preqin plays a key role in how we are revolutionizing private markets data and technology for clients globally, complementing our existing Aladdin technology platform to deliver investment solutions for the whole portfolio.
Working in the Private Markets Data Engineering team you will be responsible for working collaboratively with Product and other colleagues across the business to build the technology that powers our Researchers as they collect and manage the data of Private Markets. You will be focused on building systems to support the collection, cataloguing and management of all entities across the Private Markets universe, providing consistent labelling and identification. The systems we use to manage data are critical to the success of Aladdin and Preqin and are core drivers of our mission to unleash the power of data, increasing transparency in alternative assets and empowering the finance community to make better decisions across the global alternatives market.
As you build these solutions out for the business you will also explore how AI and similar advancements can be utilised throughout to improve data accuracy and timeliness along with the efficiency of our Research team.
In this role you will:
- Collaborate with Engineering, Product and Research teams across the business to build data management technology solutions to support our Research teams and ensure the business can bring high quality data to market quickly.
- Deliver high-quality software solutions at the standards required by an enterprise.
- Be a champion for software quality, using best practice to deliver well designed and tested solutions.
- Contribute to continuous improvement within working practices, teams and yourself.
- Operate autonomously to proactively seek out optimal technological solutions by collaborating with various stakeholders internal and external.
You are a good fit if:
- You possess strong technical ability across the full stack: C# and .NET core, python, REACT.JS and Postgres are our main technologies, with AWS as our cloud provider.
- You have experience building complex, data-centric technology solutions.
- You have knowledge of infrastructure as code, CI/CD pipelines (including secrets management) and container orchestration software such as Kubernetes.
- You are curious; willing to learn about new technologies, ways of working and acquire new skills possessing a growth mindset.
- You know that generating positive outcomes requires knowledge of the customer and the problem space to allow effective use of your technical knowledge ability.
- You are passionate about improving the capacity of engineering teams to deliver value through collaboration, excellent tooling and thin configurable services.
Our benefits
To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.
Our hybrid work model
BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.
Contact Detail:
BlackRock Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Software Engineer - Private Markets Data Engineering
✨Tip Number 1
Familiarise yourself with the technologies mentioned in the job description, such as C#, .NET core, Python, REACT.JS, and Postgres. Having hands-on experience or projects showcasing these skills can significantly boost your chances of impressing the hiring team.
✨Tip Number 2
Network with current employees at Preqin or BlackRock through platforms like LinkedIn. Engaging in conversations about their experiences can provide you with valuable insights into the company culture and expectations, which can be beneficial during interviews.
✨Tip Number 3
Demonstrate your curiosity and willingness to learn by staying updated on the latest trends in data engineering and AI technologies. Mention any relevant courses or certifications you've completed that align with the role's requirements to show your commitment to professional growth.
✨Tip Number 4
Prepare to discuss how you've successfully collaborated with cross-functional teams in previous roles. Highlight specific examples where your contributions led to improved outcomes, as this aligns with the collaborative nature of the position at Preqin.
We think you need these skills to ace Lead Software Engineer - Private Markets Data Engineering
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly read the job description for the Lead Software Engineer position. Understand the key responsibilities and required skills, particularly focusing on technologies like C#, .NET core, Python, REACT.JS, and Postgres.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job requirements. Emphasise your experience in building complex, data-centric technology solutions and any familiarity with AWS, CI/CD pipelines, and Kubernetes.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of the private markets. Mention how your technical abilities and collaborative mindset can contribute to the success of Preqin and BlackRock.
Showcase Continuous Learning: In your application, demonstrate your curiosity and willingness to learn new technologies. Provide examples of how you've adapted to new tools or methodologies in previous roles, as this aligns with the company's growth mindset.
How to prepare for a job interview at BlackRock
✨Showcase Your Technical Skills
Make sure to highlight your experience with C#, .NET core, Python, REACT.JS, and Postgres during the interview. Be prepared to discuss specific projects where you utilised these technologies, as this role requires a strong technical foundation.
✨Demonstrate Collaboration Experience
Since the role involves working closely with various teams, share examples of how you've successfully collaborated with engineering, product, and research teams in the past. Emphasise your ability to communicate effectively and work towards common goals.
✨Emphasise Continuous Improvement
Talk about your commitment to continuous improvement, both personally and within teams. Provide examples of how you've implemented best practices or improved processes in previous roles, showcasing your growth mindset.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving skills, especially in relation to data management technology solutions. Be ready to discuss how you approach challenges and the methodologies you use to find optimal technological solutions.