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 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 Data Engineer, you will join a team with ambitious plans to power Private Market data intelligence and insights. Reporting to the Head of Data Engineering 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 1-3 years of experience in a Data Engineer or Analytics Engineering role As well as experience in: 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