Senior Data Engineer

invesco

Atlanta (GA)

Hybrid

USD 120,000 - 190,000

Full time

12 days ago
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Benefits offered by this job

Flexible paid time off
Hybrid work schedule
401(K) matching of 100% up to the fi
Health & wellbeing benefits
Parental Leave benefits
Employee stock purchase plan

Job summary

Invesco, a leading global investment firm, seeks a Senior Engineer for the Systematic Trading Technology team. You will collaborate with Traders, Quants, Business Analysts and tech partners to build scalable, cloud-native trading platforms and serve as a trusted technology partner to Capital Markets.

The role focuses on delivering innovative solutions, optimizing trading workflows, data modeling/analytics, and building interfaces that empower traders and quantitative researchers.

Qualifications

  • 7+ years of working in Data Analytics, Architecture, Design, Development in the areas of Snowflake and ETL.
  • Proficient in Snowflake and MS SQL Server/ Oracle in constructing Tables using normalization techniques, creating Views, UDFs, Stored Procs.
  • Working knowledge of Python/ AWS is required.
  • Working knowledge of any BI tool (Power BI / Tableau) is a plus
  • Familiarity with CRD/ Portware applications would be a huge plus
  • Experience with Investments/Asset Management (Equities, Fixed Income, Alternatives) would be a plus.
  • Knowledge of cloud engineering and cloud-native architecture would be a plus
  • Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders

Responsibilities

  • Partnering with business, design and develop software applications to enhance ability to take better Investment decisions and simplify the activities of the trade life cycle globally
  • Working closely in a mid-size growing team using the agile development methodology to implement solutions that meet business needs
  • Hands‑on development, working with the squad to build out solutions, review code, design test cases, and build out SDLC pipelines.
  • Leading the adoption of AI-driven capabilities (e.g., automation, analytics, decision support) within production systems.
  • Partnering with Enterprise Architecture/Infrastructure/Security teams to follow technology & security best practices are implemented

Skills

Senior Engineer
Data Analytics
Architecture
Design
Development
Snowflake
MS SQL Server
Oracle
Python
AWS
Power BI
Tableau
CRD
Portware
Investments

Tools

Snowflake
MS SQL Server
Oracle
Python
AWS
Power BI
Tableau
CRD
Portware

Job description

About Invesco

As one of the world’s leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco.


What’s in it for you?

Our people are at the ver y core of our success. Invesco employees get more out of life through our comprehensive compensation and benefit offerings including:



  • Flexible paid time off


  • Hybrid work schedule


  • 401(K) matching of 100% up to the first 6% with a discretionary supplemental contribution


  • Health & wellbeing benefits


  • Parental Leave benefits


  • Employee stock purchase plan



Job Description

About the Department:

In Investment Technology, our mission is to create world-class, client-centric technology solutions that drive competitive advantage, grow our global business, and deliver an investment experience that helps people get more out of life. This mission is fueled by inventive and cohesive teams, which thrive on collaboration and mutual trust and demonstrate the diversity of thought. Our success is driven by our people, which is why we invest heavily in our talent, promoting continuous learning and development, offering opportunities to work with emerging technologies, and creating the space to discover.


Our high-performing team is seeking candidates who innovate, operate effectively in an agile environment, challenge the status quo, and are driven to succeed.


About the Role:

As a Senior Engineer on the Systematic Trading Technology Team, you will collaborate with Traders, Quants, Business Analysts, and global technology partners to build and evolve Invesco’s trading platforms. You will design and deliver scalable, cloud-native solutions while serving as a trusted technology partner to the Capital Markets business, helping drive innovation, efficiency, and business outcomes.


Our goal is to deliver best-in-class trading solutions that empower traders, trade management, and the quantitative research teams to perform at the highest level. The team focuses on delivering innovative solutions using the latest technology, optimizing trading workflows, data modeling/analytics, and building applications/interfaces that not only make our trading desks effective, but also bring new trader ideas to life!


Responsibilities of the Role:


  • Partnering with business, design and develop software applications to enhance ability to take better Investment decisions and simplify the activities of the trade life cycle globally


  • Working closely in a mid-size growing team using the agile development methodology to implement solutions that meet business needs


  • Hands‑on development, working with the squad to build out solutions, review code, design test cases, and build out SDLC pipelines.


  • Leading the adoption of AI-driven capabilities (e.g., automation, analytics, decision support) within production systems.


  • Partnering with Enterprise Architecture/Infrastructure/Security teams to follow technology & security best practices are implemented



Requirements of the Role:


  • 7+ years of working in Data Analytics, Architecture, Design, Development in the areas of Snowflake and ETL


  • Proficient in Snowflake and MS SQL Server/ Oracle in constructing Tables using normalization techniques, creating Views, UDFs, Stored Procs ..


  • Working knowledge of Python/ AWS is required.


  • Working knowledge of any BI tool (Power BI / Tableau) is a plus


  • Familiarity with CRD/ Portware applications would be a huge plus


  • Experience with Investments/Asset Management (Equities, Fixed Income, Alternatives) would be a plus.


  • Knowledge of cloud engineering and cloud-native architecture would be a plus


  • Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders



Full Time / Part Time

Full time


Worker Type

Employee


Job Exempt (Yes / No)

Yes


Workplace Model

Pursuant to Invesco’s Workplace Policy, employees are expected to comply with the firm’s most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in an Invesco office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each other’s growth and development.


The above information on this description has been designed to indicate the general nature and level of work performed by employees within this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The job holder may be required to perform other duties as deemed appropriate by their manager from time to time.


Invesco's culture of inclusivity and its commitment to diversity in the workplace are demonstrated through our people practices. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender, gender identity, sexual orientation, marital status, national origin, citizenship status, disability, age, or veteran status. Our equal opportunity employment efforts comply with all applicable U.S. state and federal laws governing non-discrimination in employment.

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