Position: Data Engineer to MPI Project
Company: INSART
Category: Data Engineer
Experience required: 3y
English level: upper
Published: 2023-03-01T00:00:00+02:00

We’re looking for an experienced Data Engineer to join our new client’s Data Management team.

**About the project:**
Our new client is an independent, privately owned company with North American headquarters in Summit, NJ, and regional offices across Europe and Asia who providing custom configuration, implementation and integration services to ensure your solution delivers optimal enterprise value.

Their solutions are used by the world’s leading financial institutions to make smarter investment research, portfolio construction and optimization, performance analysis, risk surveillance, distribution and reporting decisions.

Planned team: PM, Senior FE Dev, Data Engineer, Senior QA Engineer 

Tech stack: FE — React.js, BE — Java, C#, PHP, Perl. DB — MySQl, Postgres.

**Requirements**:
- Practical knowledge of data quality management principles, practices, metrics and tools
- Programming proficiency (Python, Perl, other scripting languages)
- Proficiency in SQL (MySQL, SQL Server, Postgres, Oracle)
- Windows and Linux OS environment
- Excellent verbal and written communication skills, including ability to effectively communicate complex information and influence diverse internal constituents/senior management.
- Analytical skills with the ability to collect, organize, analyze, interpret and disseminate significant amounts of information with attention to detail and accuracy.

**Will be a plus:**
- Deep knowledge of financial data such as: mutual funds, market index data, hedge Funds ( Private Equity data a plus)
- Exposure to CI/CD development environment is a plus (i.e., GitLab, GitHub)

**Responsibilities:**
- Develop deep understanding of MPI Stylus platform, its clients, and their data requirements
- Take over complete vendor data management life-cycle
- Understand the landscape of available data sources
- Perform detailed data analysis
- Manage changes and resolve problems
- Collaborate with data partners and clients to improve information quality
- Continuously deliver accurate, complete, and timely data
- Envision, plan and implement new data products

**We offer:**
- Our cooperation will not have an impact on the work-life balance — this is the most important thing for us. In INSART we are committed to making cooperation enjoyable and comfortable first.
- Access to education & self-development possibilities: regular free technology fin-tech events and workshops. If you are interested in investment and other fin-tech news, you are on the right path with us. English classes for more confident speaking at meetings. Free access to the corporate library with accumulated knowledge.
- Flexible conditions. You can have a fully comfortable mode, just stick to deadlines and attend team meetings. 
- Fully remote. From your comfortable place.
- Friendly and professional team. Mature management. No time-trackers. Early review depending on productivity results.
- Interview stages: usually it’s a short call with the recruiter, up to 20 min + tech interview with our team + optional final offer call (30 min). Can be changed depending on position. We always share the feedback, no matter what results it keeps.