Job details

Data Engineer - Santiago

“Companies access the capital markets to raise money that will ultimately drive expansion, innovation, and employment growth, which is why we have built an integrated capital markets platform that will optimize the deal flow process for all market participants.” Greg Ingram, CMG CEO and Co-Founder.

About us

Capital Markets Gateway (CMG) is a financial technology firm that is modernizing the equity capital markets (ECM).CMG connects investors and underwriters via a neutral platform that delivers integrated ECM data and analytics, transparency, and workflow efficiencies. Providing a digital system of record for firm-wide deal activity, CMG helps clients make more timely, better-informed decisions.

Launched in 2017 by a team of ECM practitioners, the CMG platform is currently relied upon by nearly 100 buy side firms representing $20 trillion in AUM and 15 investment banks. CMG’s goal is to alleviate pain points resulting from disparate solutions, fragmented data, and frenzied communication. CMG’s DataLab product solves for data analytics, while CMG’s XC platform establishes connectivity between buy- and sell-side firms.

Our engineering team

The CMG engineering team consists of domain experts who work collaboratively within a culture of cross-domain knowledge sharing. We value engineers who are passionate about modern technologies and best practices.

Our engineers are willing to challenge the status-quo and are constantly seeking improvement and efficiency in our code-base and platform. CMG engineers are empowered to explore solutions and bring recommendations to the table. We’re in a period of making impactful engineering decisions. As part of our process, we believe in taking the time for research and prototyping - this is critical in making the right decisions.

Given the experience of our team, we have naturally adopted best practices from local development, through code review and into production rollouts. Besides the standard pull requests, test automation, code coverage tracking, containerization, and one-click deployments we are constantly reviewing these foundational components to develop new best practices.

The Role description

We are looking for a Data Engineer to join our passionate team. In this role, you will be part of a team responsible for building and maintaining scalable data pipelines and architecture, utilizing the latest data technologies to solve complex problems in investment finance. Your work will enable our clients to access mission-critical data and analytics to make impactful decisions in global capital markets.

Your responsibilities will include

Exploring and loading a variety of data sets from market data sources.
Transforming, reconciling, and integrating source data into easily consumable data products for our clients.
Contributing to the development of a scalable data architecture to support large data volumes and various access mechanisms.
Contributing to the design and implementation of new data systems and infrastructure.
Advancing sound data engineering practices to automate processing, testing, and quality checks.

Qualifications

Higher education degree in Computer Science or a related field is preferred.
Understanding of data modeling, data lakes, and data warehousing concepts.
Deep knowledge of SQL and relational databases, experience with SnowSQL is a plus.
Experience using scripting languages such as Python and shell script for common data processing tasks.
Analytical skills to understand complex requirements, process large volume of information, and design creative solutions.
Strong communication and collaboration skills.
Experience with Snowflake and Kubernetes is desirable.
Experience with DBT and ARGO is a plus.
Experience working with financial market data, including fundamentals, pricing, and corporate actions, is a big plus.
Some analytics and AI experience is advantageous.
Possibility to work in a US time zone

Our values