Data Engineer

Serv Recruitment Agency

4d•$145,000 - $170,000•Remote

About The Position

Serv, a global executive recruitment partner, is hiring on behalf of our client Take Profit Trader for a Data Engineer. Take Profit Trader is a high-growth proprietary trading firm handling hundreds of millions of dollars in trading volume. Dedicated to innovation, operational excellence, and empowering traders globally, they are hiring a Data Engineer / BI Engineer to build and scale their reporting and analytics foundation. This role will play a key part in transforming raw data into trusted insights that drive smarter business decisions across the organization. As a fully remote organization, Take Profit Trader values individuals with an entrepreneurial spirit who thrive in a fast-moving, ever-evolving environment. The team operates with high ownership, speed, and accountability. If you enjoy building, testing, optimizing, and adapting quickly, you will feel right at home. To learn more about TakeProfitTrader, visit: https://takeprofittrader.com Position Overview As the Data Engineer , you will be responsible for designing and optimizing the company’s analytics infrastructure, reporting systems, and business intelligence capabilities. You will work across data engineering, reporting architecture, dashboard development, and data quality initiatives. This is a hands-on role for someone who enjoys solving complex data challenges, partnering cross-functionally, and delivering clear insights to stakeholders. You will help ensure leadership has access to accurate, timely, and actionable data.

Requirements

8–10 years of hands-on SQL and PostgreSQL development experience
5+ years of hands-on BI development experience
Strong experience with data modeling, especially dimensional modeling for reporting and analytics
Hands-on experience in at least one major BI platform such as Tableau, Power BI, or AWS QuickSight
Strong ability to build dashboards, reports, and business-facing analytics assets
Experience translating business requirements into data models, reporting structures, and KPI definitions
Strong understanding of data quality, reporting accuracy, and consistency
Strong communication skills and ability to work cross-functionally

Nice To Haves

Exposure to multiple BI platforms, especially Tableau, Power BI, and AWS QuickSight
Experience in SaaS, fintech, trading, or other data-intensive environments
Experience with ETL / ELT workflows and analytics pipelines
Experience improving PostgreSQL query performance and reporting efficiency

Responsibilities

Design, develop, and maintain scalable SQL-based data solutions using PostgreSQL
Build and optimize dimensional models, reporting tables, and curated data marts
Create and maintain dashboards and reports in Tableau, Power BI, or AWS QuickSight
Partner with business and technical stakeholders to define KPIs, reporting requirements, and metric definitions
Translate business questions into structured datasets, reporting logic, and executive-ready dashboards
Improve data quality, consistency, and reporting reliability across analytics workflows
Troubleshoot issues across source systems, SQL logic, transformations, and BI outputs
Document data definitions, reporting logic, and dashboard standards
Optimize query performance and reporting efficiency across PostgreSQL environments
Support ongoing analytics roadmap initiatives and business growth priorities