Data Engineer

Data Engineer

Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.

Data Build Tool

NA

Minimum

year(s) of experience is required

15 years full time education

Data Engineer (Contract)

Duration: 6 months (with potential to expand capacity) Engagement: Starting with 1 resource

Role Overview

We are seeking an experienced Data Engineer to build and maintain robust, scalable data pipelines on our cloud data platform.

You will work within a modern Medallion architecture, delivering high-quality, well-tested data models and pipelines using dbt, Python, and modern orchestration tools.

Key Responsibilities

Design, build, and maintain dbt data models across Bronze, Silver, and Gold layers of a Medallion architecture

Develop custom dbt macros to enforce modeling standards, reduce code duplication, and improve team productivity

Write production-grade Python code for data ingestion, transformation, and processing workflows

Build, schedule, and monitor data pipelines using orchestration platforms such as Dagster and Astronomer (Apache Airflow)

Implement and manage CI/CD pipelines in GitLab for automated testing, linting, and deployment of dbt projects and Python packages

Collaborate with data architects and analytics engineers to translate business requirements into clean, performant data models and pipelines

Apply data modeling best practices including normalization, slowly changing dimensions, and star/snowflake schema design where appropriate

Leverage AI-assisted development tools such as Amazon Q and Kiro to accelerate pipeline development

Required Skills

Expert-level proficiency in dbt (Core or Cloud), including advanced features such as custom macros, hooks, tests, and packages

Strong Python development skills, including writing modular, testable, and maintainable code for data engineering use cases

Experience building and managing orchestrated workflows using Dagster and/or Astronomer (Apache Airflow), including DAG authoring, sensors, and dependency management

Strong experience with CI/CD pipelines using GitLab, including .gitlab-ci.yml authoring and pipeline optimization

Solid understanding of data modeling principles and experience implementing Medallion (Bronze/Silver/Gold) architecture

Proficiency in SQL and experience working with cloud data warehouses (Snowflake preferred)

Exposure to AWS data services (S3, Glue, Lambda) in a data pipeline context

Familiarity with data quality frameworks such as Great Expectations or dbt tests

Familiarity with AI-assisted development tools (Amazon Q, Kiro, or similar)

Nice to Have (will be mandatory skill set for future adds)

Experience with PySpark for distributed data processing at scale

15 years full time education

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com 

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.