Data Engineer Senior
IE
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll bring
All qualificationsCore experience
- Experience with supply chain, manufacturing, ERP, operations, or industrial datasets.
- Ability to balance quality, speed, maintainability, and operational needs.
- Experience with streaming, Unity Catalog, metadata-driven frameworks, data governance, or AI/ML data preparation.
- Ability to mentor engineers and raise standards through design reviews, code reviews, and reusable engineering practices.
Qualification wording
Experience with supply chain, manufacturing, ERP, operations, or industrial datasets.
Ability to balance quality, speed, maintainability, and operational needs.
Experience with streaming, Unity Catalog, metadata-driven frameworks, data governance, or AI/ML data preparation.
Ability to mentor engineers and raise standards through design reviews, code reviews, and reusable engineering practices.
Education & alternatives
Working experience with Agile delivery, Git, CI/CD, DevOps practices, and Azure DevOps. Bachelor’s degree in computer science, information systems, engineering, or a related field, or equivalent practical experience. Preferred Skills and Experience
Tools in this posting
- Python
- SQL
- Azure
- Databricks
- Delta Lake
- Power BI
- PySpark
Source — Tool mentions in context
Data Pipeline Engineering Design, build, and optimize scalable 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 appropriate batch or streaming patterns.
5-6+ years of hands-on data engineering experience building production data pipelines and data products. Strong experience with Databricks, Azure Data Lake, Delta Lake, Python/PySpark, and SQL. Deep understanding of ETL/ELT, data integration, lakehouse architecture, and bronze/silver/gold design patterns.
Tools & Technologies Engineering: Databricks, Python/PySpark, SQL, Delta Lake Data platform: Azure Data Lake, lakehouse architecture, bronze/silver/gold patterns
Curate performant datasets for Power BI, enterprise reporting, analytics, data science, AI, and downstream applications. Tune pipelines, SQL, Spark workloads, storage, and table design for reliability, performance, and cost. Agile Delivery & Operations
Job Summary Acuity is seeking a Senior Data Engineer to join the Digital Center of Excellence (DCoE) in Cork and design, build, and support trusted data pipelines and lakehouse data products using Databricks and Azure Data Lake. The role delivers production-quality ETL/ELT solutions that integrate enterprise data and make curated information available for reporting, analytics, data science, AI, and downstream applications. The ideal candidate is hands-on, quality-focused, and comfortable partnering with architects, analysts, and business subject-matter experts.
Agile Delivery & Operations Use Git and Azure DevOps for backlog management, user stories, branching, pull requests, CI/CD, releases, and traceability. Create unit, integration, and reconciliation tests and participate in design and code reviews.
Good understanding of reporting, analytics, and how curated data is consumed by Power BI or similar BI tools. Working experience with Agile delivery, Git, CI/CD, DevOps practices, and Azure DevOps. Bachelor’s degree in computer science, information systems, engineering, or a related field, or equivalent practical experience.
Qualifications & Experience Databricks or Microsoft Azure certification. Experience with supply chain, manufacturing, ERP, operations, or industrial datasets.
Engineering: Databricks, Python/PySpark, SQL, Delta Lake Data platform: Azure Data Lake, lakehouse architecture, bronze/silver/gold patterns Quality & operations: testing, reconciliation, lineage, monitoring and production support
Quality & operations: testing, reconciliation, lineage, monitoring and production support Delivery: Git, Azure DevOps, CI/CD, Agile and DevOps practices Soft Skills
Partner with architects, analysts, and business teams to define source-to-target mappings, business rules, and acceptance criteria. Curate performant datasets for Power BI, enterprise reporting, analytics, data science, AI, and downstream applications. Tune pipelines, SQL, Spark workloads, storage, and table design for reliability, performance, and cost.
Experience with data quality, reconciliation, schema management, orchestration, performance tuning, and production support. Good understanding of reporting, analytics, and how curated data is consumed by Power BI or similar BI tools. Working experience with Agile delivery, Git, CI/CD, DevOps practices, and Azure DevOps.
Posting record
Report an errorActively hiringFirst seen by us 9 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 22, 2026 · 9 days ago
- Recorded sightings
- 46
- Last seen by us
- Oct 31, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
Complete your application on careers.acuityinc.com. The employer’s form will show what is required.
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Job description
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 Senior Data Engineer to join the Digital Center of Excellence (DCoE) in Cork and design, build, and support trusted data pipelines and lakehouse data products using Databricks and Azure Data Lake.
The role delivers production-quality ETL/ELT solutions that integrate enterprise data and make curated information available for reporting, analytics, data science, AI, and downstream applications. The ideal candidate is hands-on, quality-focused, and comfortable partnering with architects, analysts, and business subject-matter experts.
Key Tasks & Responsibilities (Essential Functions)
Data Pipeline Engineering
Design, build, and optimize scalable 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 appropriate batch or streaming patterns.
Build bronze, silver, and gold datasets using reusable, metadata-driven, and configuration-driven engineering approaches.
Implement incremental processing, schema evolution, error handling, restorability, reconciliation, and audit controls.
Data Quality & Analytics Enablement
Apply data-quality rules, testing, lineage, and monitoring to deliver trusted data products.
Partner with architects, analysts, and business teams to define source-to-target mappings, business rules, and acceptance criteria.
Curate performant datasets for Power BI, enterprise reporting, analytics, data science, AI, and downstream applications.
Tune pipelines, SQL, Spark workloads, storage, and table design for reliability, performance, and cost.
Agile Delivery & Operations
Use Git and Azure DevOps for backlog management, 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, perform root-cause analysis, and document operational procedures.
Contribute reusable components, engineering standards, mentoring, and continuous improvement across the DCoE data team.
Skills and Minimum Experience Required
5-6+ years of hands-on data engineering experience building production data pipelines and data products.
Strong experience with Databricks, Azure Data Lake, Delta Lake, Python/PySpark, and SQL.
Deep understanding of ETL/ELT, data integration, lakehouse architecture, and bronze/silver/gold design patterns.
Experience with data quality, reconciliation, schema management, orchestration, performance tuning, and production support.
Good understanding of reporting, analytics, and how curated data is consumed by Power BI or similar BI tools.
Working experience with Agile delivery, Git, CI/CD, DevOps practices, and Azure DevOps.
Bachelor’s degree in computer science, information systems, engineering, or a related field, or equivalent practical experience.
Preferred Skills and Experience
Qualifications & Experience
Databricks or Microsoft Azure certification.
Experience with supply chain, manufacturing, ERP, operations, or industrial datasets.
Experience with streaming, Unity Catalog, metadata-driven frameworks, data governance, or AI/ML data preparation.
Tools & Technologies
Engineering: Databricks, Python/PySpark, SQL, Delta Lake
Data platform: Azure Data Lake, lakehouse architecture, bronze/silver/gold patterns
Quality & operations: testing, reconciliation, lineage, monitoring and production support
Delivery: Git, Azure DevOps, CI/CD, Agile and DevOps 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.
Ability to mentor engineers and raise standards through design reviews, code reviews, and reusable engineering practices.
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.
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.
Any unsolicited resumes sent to Acuity Inc. from a third party, such as an Agency recruiter, including unsolicited resumes sent to an Acuity Inc. mailing address, fax machine or email address, directly to Acuity Inc employees, or to Acuity Inc. resume database will be considered Acuity Inc. property. Acuity Inc. will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.
Acuity Inc. will consider any candidate for whom an Agency has submitted an unsolicited resume to have been referred by the Agency free of any charges or fees. This includes any Agency that is an approved/engaged vendor but does not have the appropriate approvals to be engaged on a search.
Protecting Yourself from Recruitment Scams: Acuity is committed to maintaining the integrity of our Talent Acquisition process and the security of our candidates. We are aware of phishing and fraudulent schemes in which individuals impersonate Acuity representatives or recruiting partners to solicit payments or sensitive personal information.
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.
- Be Alert for Suspicious Activity: Exercise caution if you receive unsolicited outreach with unusual requests, grammatical errors, requests for personal or financial information, or pressure to act quickly. Always verify the sender before sharing information or clicking links.
- Report Suspected Fraud: If you receive a suspicious message or believe someone is impersonating Acuity or one of our recruiting partners, please contact +1 877-584-141, option# 0, report the incident to the FTC at ReportFraud.ftc.gov, or to your state attorney general.
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