Senior Data Engineer (Python) at Acuity Analytics

, , -

Full Time

Start Date

Immediate

Expiry Date

27 Apr, 26

Salary

0.0

Posted On

27 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, PySpark, Pandas, SQL, Azure DevOps, CI/CD, Automated Tests, Data Ingestion, Data Quality, Operational Support, Code Reviews, Databricks, Power BI, Machine Learning

Industry

IT Services and IT Consulting

Description

It’s one thing to deliver a technical project. It’s quite another to delight a customer while doing it. About Us Ascent has recently been acquired by Acuity Analytics. This is both a significant milestone for us and a tremendous opportunity for you. Acuity Analytics is a business with a strong global reputation, an impressive client base and ambitious growth plans. We delivers deep insights and domain-led digital transformation to high-growth and heavily regulated organisations. To our customers, we bring a partnership that provides the talent, technology and capability to enhance performance and operational efficiency. About the role As a Data Engineer (Python), you will play a key role in building, testing, and operating scalable data products and machine learning solutions. You’ll work closely with data scientists, engineers, and business stakeholders to design robust data pipelines, ensure high data quality, and support production-ready deployments. In this role, you’ll contribute across the full data lifecycle — from ingestion and transformation to deployment, testing, and operational support. You’ll also help strengthen our IT governance processes through code reviews and collaboration, while continuously improving automation and reliability within our data platform. Skills and Requirements Required Skills Strong experience with Python, including PySpark and pandas Solid knowledge of SQL for data transformation, validation, and testing Hands-on experience with Azure DevOps, especially CI/CD pipelines Experience implementing automated tests (e.g. pytest, SQL-based tests) for data products and machine learning models Ability to design and implement data ingestion pipelines (initially as a Proof of Concept) Strong understanding of data quality principles, with the ability and willingness to dive into business logic Experience supporting operational activities in a production environment Comfortable reviewing pull requests and contributing to IT governance and code quality standards Nice to Have Experience with Databricks, ideally including Databricks Asset Bundles Exposure to Power BI, with potential to support deployment of dashboards in the future Familiarity with deploying and operating machine learning models in a data platform Why join us People are at the Heart of our Business. By investing in people, we achieve exceptional results for our clients and create new opportunities for our teams to thrive. Check out this page for more details. If you have any questions, contact our Talent Acquisition team on ta.admin@acuityanalytics. If you have any questions contact our Talent Acquisition team on ta.admin@acuityanalytics. For more details about life at Ascent, check out our Life Page here. Ascent is now an Acuity Analytics. Read here.

Responsibilities

As a Data Engineer (Python), you will build, test, and operate scalable data products and machine learning solutions. You will work closely with data scientists, engineers, and business stakeholders to design robust data pipelines and ensure high data quality.