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For Companies At a Glance
- Tasks: Join us as a Senior Data Engineer to create and maintain data pipelines and optimize data delivery.
- Company: We're transforming private markets with innovative business intelligence, backed by the Aztec Group.
- Benefits: Enjoy a collaborative culture, opportunities for growth, and the chance to impact private capital software.
- Why this job: Be part of a mission-driven team that values data insights and fosters professional development.
- Qualifications: 3-5 years in Data Engineering, strong Python skills, and experience with SQL databases required.
- Other info: A passion for finance and familiarity with private equity is a plus, but not essential.
The predicted salary is between 48000 - 84000 £ per year.
About us
Our mission is to transform how private markets use business intelligence. The Lantern vision will see GPs use data to drive better & faster decision making, through deeper insights built on centralised, validated data. Our backers, Aztec Group, are leaders in fund & corporate services across Europe – they believe we will do the same.
To support our ambitious plans, we are looking for an exceptional Senior Data Engineer to join our mission to innovate private capital software, and change its landscape as we bring our products to market.
Our Data Stack
- Python – which supports our EL services supported along with a modern data stack – i.e. Fivetran, Databricks
- PostgresQL, and Azure Blob – Our database and storage
- DBT Core – which hosts our extensive of data models
- Azure – which hosts our infrastructure outside of our data stack – i.e. Databricks
About you
As a Senior Data Engineer, you will join a team with ambitious plans to power Private Market data intelligence and insights. Reporting to the Data Engineering Manager and working with our Data Engineering, Data Science, Product, and Development squads, you will become a key member in our growth journey.
Key Responsibilities
- Create and maintain data pipelines
- Assemble large, complex data sets to meet product and business requirements
- Identify, design, and implement internal process improvements, e.g.
- automating manual processes
- optimizing data delivery
- re-designing infrastructure for greater scalability
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
- Build analytics models or tools that utilize our data pipelines to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics
- Work with stakeholders to assist with data-related infrastructure needs and issues
- Have a security minded focus when designing pipelines to protect end user data
- Work with data and analytics experts to strive for greater functionality in our data systems
Requirements
On the job Experience
- 3-5 years of experience in a Data Engineer or Analytics Engineering role
- As well as experience:
- Manipulating, processing, modelling, and extracting value from large, disconnected datasets
- With relational databases, and complex query authoring.
- With data warehouse design and modelling
- Building extract processes from API, SFTP, and Databases.
- Project management/documentation software (JIRA, Confluence preferable).
Technical Capabilities
- Expert proficiency of Python with a strong focus on code quality, unit, and E2E testing
- Proficiency in object-oriented development practises.
- Experience in building and maintaining DBT models
- Advanced SQL knowledge and experience working with a variety of SQL databases (Preferrably MySQL and Postgres)
- Experience with Version Control Software (Preferrably Git & Github)
- Familiarity with cloud data services (Preferrably Azure).
Character
- Humble: you acknowledge your strengths and your weaknesses
- Growth Mindset: you take pride in your skills and think about how you can improve as a data engineer and as a team member
- Attention to details a huge plus
Nice to haves
- A genuine interest in the world of finance. Familiarity with the private equity lingo will be a plus but not essential
- A degree in STEM is preferable but not essential
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Senior Data Engineer employer: Lantern Limited
Contact Detail:
Lantern Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Familiarize yourself with our tech stack, especially Python, DBT, and SQL. Being able to discuss your experience with these tools in detail will show that you're ready to hit the ground running.
✨Tip Number 2
Highlight any experience you have with cloud services, particularly Azure. Since we use Azure for our infrastructure, demonstrating your familiarity with it can set you apart from other candidates.
✨Tip Number 3
Showcase your problem-solving skills by preparing examples of how you've optimized data delivery or redesigned infrastructure in previous roles. We value innovative thinkers who can improve processes.
✨Tip Number 4
If you have any knowledge of private equity or finance, make sure to mention it. While it's not essential, it can demonstrate your interest in our mission and help you connect with our team.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Understand the Company Vision: Take some time to understand Lantern's mission and how they aim to innovate private capital software. This will help you tailor your application to align with their goals.
Highlight Relevant Experience: Make sure to emphasize your 3-5 years of experience in Data Engineering or Analytics Engineering. Detail your work with large datasets, relational databases, and any relevant projects you've managed.
Showcase Technical Skills: Clearly outline your proficiency in Python, SQL, and any experience with DBT models or cloud services like Azure. Mention specific projects where you utilized these skills to solve problems or improve processes.
Demonstrate a Growth Mindset: In your application, convey your willingness to learn and grow as a data engineer. Share examples of how you've sought feedback or improved your skills in past roles.
How to prepare for a job interview at Lantern Limited
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, SQL, and data pipeline construction. Highlight specific projects where you've manipulated large datasets or built analytics models, as this will demonstrate your hands-on expertise.
✨Understand the Company’s Mission
Familiarize yourself with Lantern's vision of transforming private markets through business intelligence. Being able to articulate how your skills align with their mission will show your genuine interest in the role and the company.
✨Prepare for Behavioral Questions
Expect questions that assess your character traits, such as humility and a growth mindset. Think of examples from your past experiences that illustrate these qualities, especially in team settings.
✨Ask Insightful Questions
Prepare thoughtful questions about the data stack, team dynamics, and future projects. This not only shows your enthusiasm but also helps you gauge if the company culture aligns with your values.
