Senior Engineer Digital Distribution

Invesco UK; Atlanta (GA); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Flexible paid time off

Hybrid work schedule

401(K) matching up to 6%

Health & wellbeing benefits

Parental Leave benefits

Employee stock purchase plan

Job summary

Invesco is seeking a senior data engineer to support advanced analytics and data integration for the North America Client Transactions & Data team. You will design, build, and manage large-scale data pipelines in a cloud environment, collaborating with business owners, product owners, analysts, and developers to deliver data products and analytics.

The role requires strong hands-on skills in Python, SQL, Airflow, Snowflake, and AWS, with a focus on scalable, automated data processing and

Qualifications

• 5-7 years of experience in data modeling, data warehousing, and big data architectures.
• 5-7 years of experience with Amazon AWS services (S3, RDS, Lambda, Glue, SNS, Terraform, etc.).
• 5-7 years of experience building data pipelines with Apache Airflow, Airbyte.
• Proficient in SQL and query optimization techniques (e.g., DBT).
• 3-5 years of Snowflake experience; Cortex AI and LLM prompt engineering a plus.
• Strong programming in Python; Linux/bash scripting; Ansible.
• Experience with GitHub, Bitbucket or similar code repositories.
• Understanding of CI/CD automated deployments.

Responsibilities

• Managing application and data integration platforms using AWS Cloud Components.
• Building robust data pipelines in a modern cloud architecture.
• Enable end-to-end lifecycle of development/reporting/integration projects per Agile standards.
• Ensure data availability for business reporting within SLAs.
• Create architecture docs and design artifacts for data and applications.
• Maintain code and environment to evolve data-driven analytics capabilities.
• Write complex programs, design architectures, and enable automation.

Skills

Data modeling

Data warehousing

Big data architectures

Python

SQL

ETL/ELT

Airflow

Airbyte

Snowflake

Terraform

GitHub

Bitbucket

CI/CD

Linux

Education

BS in Computer Science, Applied Mathematics, Physics, Statistics or related data sciences

Tools

Airflow

Airbyte

Snowflake

Terraform

GitHub

Bitbucket

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 Team:

The North America Client Transactions & Data team is to streamline access to Client Information. We provide predictable data that enables our partners to respond more nimbly and rapidly to our changing business environment. By centralizing and delivery of our client data as a product, we provide transparent roadmaps while using a standardized, consistent & predictable in engineering practices.

About the Role:

You will be responsible for supporting advanced analytics initiatives and data integration. Interact with Business Owners, Product Owners, Business Data Analysts, and Application Developers, to design, build and manage large-scale batch and real-time data pipelines utilizing various data analytic frameworks. The position requires a strong technical hands-on-skilled engineer. A successful candidate must demonstrate strong analytical, design, programing, and debugging skills in a large-scale analytics solutions.

Responsibilities of the Role

• Managing application and data integration platforms using AWS Cloud Components
• Building robust data pipeline using modern data engineering practice in a Cloud architecture
• Understand the business and enable the full life cycle of development/ reporting/ integration projects: planning, design, develop, testing and rollout that confirms to Agile Standards
• Responsible for Data availability /enablement for business reporting and analytics within the SLA
• Create and manage data, applications and technology architecture documentation and design artifacts
• Help maintain the code and capability environment required to evolve data-driven, analytical capabilities with the end goal of understanding customer behavior and competitive dynamics
• Strong experience with writing complex programs, implementing architectures, and enabling automation in these environments
• Communicate with various business areas, partner on the formulation of technical requirements for data ingestion, verification, scheduling, etc.

Requirements of the Role

• 5-7 years of experience in data modeling, data warehousing, and big data architectures
• 5-7 years of experience of Amazon cloud (AWS)- S3, RDS, Lambda, Glue, SNS, Terraform etc.
• 5-7 years of experience in building data pipelines in tools using Apache Airflow, Airbyte
• Good understanding of ETL/ELT experience and good knowledge of SQL and query optimization techniques (ie DBT)
• 3-5 years of experience with Snowflake, with Cortex AI and LLM prompt engineering a nice to have
• Strong experience with databases such as Snowflake Postgres, Aurora, Athena
• Strong programming experience with Python, Linux/bash scripting, Ansible
• Experience using GitHub, Bit Bucket, or other code repository solution
• Understanding and knowledge of Automated code Deployments CI/CD
• BS in Computer Science, Applied Mathematics, Physics, Statistics or area of study related to data sciences and data mining or relevant experience

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.

Contractual information

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.

Equal Opportunity Statement

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 em