Data Engineer, Demyst

Salary not provided

SQL

AWS

Python

Airflow

Athena

Pandas

Snowflake

Parquet

Git

JSON

Junior and Mid level

Remote in US

External data platform for Fintech enterprises

Open for applications

External data platform for Fintech enterprises

101-200 employees

Credit ScoringB2BEnterpriseComplianceAnalyticsSaaSAPIData IntegrationData Analysis

Open for applications

Salary not provided

SQL

AWS

Python

Airflow

Athena

Pandas

Snowflake

Parquet

Git

JSON

Junior and Mid level

Remote in US

101-200 employees

Credit ScoringB2BEnterpriseComplianceAnalyticsSaaSAPIData IntegrationData Analysis

Company mission

Demyst's mission is to harmonize and collectively empower business leaders, technical minds, and risk officers to unlock the power of external data.

Job

Company

Role

Who you are

Bachelor's in Computer Science, Data Science, Engineering or similar technical discipline (or commensurate work experience); Master's degree preferred
1-3 years of Python programming (with Pandas experience)
Experience with CSV, JSON, parquet, and other common formats
Data cleaning and structuring (ETL experience)
Knowledge of API (REST and SOAP), HTTP protocols, API Security and best practices
Experience with SQL, Git, and Airflow
Strong written and oral communication skills
Excellent attention to detail
Ability to learn and adapt quickly

What the job involves

Collaborate with internal project managers, sales directors, account managers, and clients’ stakeholders to identify requirements and build external data-driven solutions
Perform data appends, extracts, and analyses to deliver curated datasets and insights to clients to help achieve their business objectives
Understand and keep current with external data landscapes such as consumer, business, and property data
Engage in projects involving entity detection, record linking, and data modelling projects
Design scalable code blocks using Demyst’s APIs/SDKs that can be leveraged across production projects
Govern releases, change management and maintenance of production solutions in close coordination with clients' IT teams

Our take

There’s been a lot of commentary on the potential power of external data, especially for financial institutions and insurers that have to be compliant as they roll out new products. However, the data landscape is more fragmented than ever, making it difficult to deploy – especially at scale.

Founded in 2010, Demyst was an early entrant into the external data field with a platform to help customers to more rapidly discover, onboard and make data more actionable, thus profitable.

The company has since developed a global presence with hubs in Australia, Singapore, and the US. Its customer portfolio includes some heavyweight names in the financial services and insurance industries, including ANZ, Standard Chartered, and Koalifi.

The company is showing no signs of resting on its laurels as demand for external data grows higher than ever. Indeed, it’s made its plans for a future IPO public, and should soon be listed on the Australian Stock Exchange.

Steph

Company Specialist at Welcome to the Jungle

Insights

Few candidates hear
back within 2 weeks

Glassdoor (3.1)

Company

Funding (last 2 of 3 rounds)

Aug 2019

$12.5m

SERIES C

Oct 2016

$7m

SERIES B

Total funding: $24.5m

Company benefits

Distributed working team and culture: work from anywhere in the world!
Collaborative, inclusive work culture

Company HQ

Kips Bay, New York, NY

Articles

Demyst raises A$33m and announces plans to IPO

For Fintechs, Leveraging an External Data Platform Can Supercharge Innovation

Demyst Partners with Snowflake to Provide Rapid, Seamless Data Access for Banks, Insurers, and Fintechs

Leadership

Mark Hookey

(CEO)

Before founding Demyst in 2010, they served as Managing Director at global legal, regulatory and business information and analytics firm LexisNexis.

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