Data Engineer
Confirmed on the employer's own hiring board on Oct 23, 2026. First seen by Alion on Oct 19, 2026. Acuity scores A on the Alion truth index.
Acuity Inc. (NYSE: AYI) is a market-leading industrial technology company. We use technology to solve problems in spaces, light and more things to come. Through our two business segments, Acuity Brands Lighting (ABL) and Acuity Intelligent Spaces (AIS), we design, manufacture, and bring to market products and services that make a valuable difference in people’s lives.
We achieve growth through the development of innovative new products and services, including lighting, lighting controls, building management solutions, and an audio, video and control platform. We focus on customer outcomes and drive growth and productivity to increase market share and deliver superior returns. We look to aggressively deploy capital to grow the business and to enter attractive new verticals.
Acuity Inc. is based in Atlanta, Georgia, with operations across North America, Europe and Asia. The Company is powered by approximately 13,000 dedicated and talented associates. Visit us at www.acuityinc.com.
Job Summary
Acuity is seeking a Data Engineerto join the Digital Center of Excellence (DCoE) in Cork and build, test, deploy, and support data pipelines and curated datasets using Databricks and Azure Data Lake.
This is a hands-on engineering role working with senior engineers, architects, analysts, and business subject-matter experts to integrate enterprise data and make trusted information available for reporting, analytics, data science, AI, and downstream applications.
Key Tasks & Responsibilities (Essential Functions)
Data Pipeline Development
- Build and maintain ETL/ELT pipelines using Databricks, Python/PySpark, SQL, Delta Lake, and Azure services.
- Ingest data from databases, APIs, files, SaaS applications, and event sources using established batch or streaming patterns.
- Develop bronze, silver, and gold datasets using reusable and configuration-driven engineering approaches.
- Implement incremental processing, schema handling, error handling, restorability, reconciliation, and audit controls.
Data Quality & Analytics Enablement
- Apply data-quality rules, testing, lineage, and monitoring to support trusted data products.
- Work with architects, analysts, and business teams to understand source-to-target mappings, business rules, and acceptance criteria.
- Create curated datasets for Power BI, enterprise reporting, analytics, data science, AI, and downstream applications.
- Tune SQL, Spark workloads, storage, and table design with guidance from senior team members.
Agile Delivery & Operations
- Use Git and Azure DevOps for user stories, branching, pull requests, CI/CD, releases, and traceability.
- Create unit, integration, and reconciliation tests and participate in design and code reviews.
- Monitor production pipelines, resolve incidents, support root-cause analysis, and document operational procedures.
- Contribute reusable components, documentation, and continuous improvements across the DCoE data team.
Skills and Minimum Experience Required
- 2+ years of hands-on data engineering or software engineering experience with data pipelines and data transformations.
- Practical experience with SQL and Python or PySpark.
- Working knowledge of Databricks, Azure Data Lake, Delta Lake, or comparable cloud data technologies.
- Understanding of ETL/ELT, data integration, data-quality checks, and lakehouse or data-warehouse concepts.
- Familiarity with Git, CI/CD, Agile delivery, and Azure DevOps or a comparable delivery tool.
- Ability to diagnose data and pipeline issues and work effectively with technical and business stakeholders.
- Bachelor’s degree in computer science, information systems, engineering, or a related field, or equivalent practical experience.
Preferred Skills and Experience
Preferred Qualifications
- Databricks or Microsoft Azure certification.
- Experience with Power BI consumption patterns, Unity Catalog, streaming, or metadata-driven frameworks.
- Experience with supply chain, manufacturing, ERP, operations, or industrial datasets.
Tools & Technologies
- Engineering: Databricks, Python/PySpark, SQL, Delta Lake
- Data platform: Azure Data Lake, bronze/silver/gold lakehouse patterns
- Quality: unit, integration and reconciliation testing, lineage and monitoring
- Delivery: Git, Azure DevOps, CI/CD and Agile practices
Soft Skills
- Strong analytical and structured problem-solving skills.
- Clear communication across technical and business audiences.
- A collaborative, ownership-focused approach to delivery.
- Ability to balance quality, speed, maintainability, and operational needs.
- Curiosity and willingness to learn from senior engineers, architects, analysts, and domain experts.
The compensation is $X EUR. Acuity offers generous benefits including health care, dental coverage, vision plans, 401K benefits, and commissions/incentive compensation depending on the role. For a list of our benefits, click here.
We value diversity and are an equal opportunity employer. All qualified applicants will be considered for employment without regards to race, color, age, gender, sexual orientation, gender identity and expression, ethnicity or national origin, disability, pregnancy, religion, covered veteran status, protected genetic information, or any other characteristic protected by law.
Please click here and here for more information.
Accommodation in the Application Process: Acuity Inc. is an equal opportunity employer. It complies with the Americans with Disabilities Act (ADA) and other applicable laws requiring reasonable accommodation of persons with disabilities in employment. This includes the provision of reasonable accommodation in the application process. If you believe you need reasonable accommodation to assist with our online application system or any aspect of the application process, please contact Human Resources at (770) 922-9000, and select option 4. Please be prepared to identify the requisition / position applied for and the aspect of the application process for which you believe accommodation is needed. The company will engage in an interactive process with you to better understand the request and to determine whether reasonable accommodation is needed and available.
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As you navigate your job search, please keep the following in mind:
- No Financial Requests: Acuity will never ask candidates for payment, credit card information, banking details or other financial information during the interview process.
- Verify Recruiter Communications: Legitimate communications from Acuity recruiters will come from an “@acuityinc.com” email address. If you are contacted by a recruiting agency regarding a role with Acuity, the agency should clearly identify itself and its relationship to Acuity. If you suspect any suspicious activity, verify the agency legitimacy by contacting +1 877-584-1411, option# 0.
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