Senior HR Data Engineer: Dataflow, ETL & Automation Lead

DHL Supply Chain; Westerville (OH); On-site; Confidential; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Life insurance

401K plan

Paid vacation

Paid holidays

Job summary

DHL Supply Chain is seeking a Senior HR Data Engineer in the US to lead high-complexity HR data transformations, migrations, and automation projects. You will design end-to-end ETL/SQL flows, define data architectures, and advise on integration patterns within HR IT landscapes.

The role requires advanced SQL, Python, and experience with HR data domains, Oracle HCM or equivalents, HDL and BI tools, plus RPA design and cross-functional collaboration.

Qualifications

• Advanced SQL, Python, Oracle HCM or equivalent tooling and ETL/RPA design experience.
• Data-flow and integration pattern design experience required.
• HR data-domain design experience (objects, fields, naming standards) required.
• HR IT landscape inter-system dependencies experience required.
• Consultative partnering with cross functional teams required.

Responsibilities

• High-Complexity Design & Build — end-to-end ETL/SQL transformation and migration; SME.
• Data-Flow & Automation Architecture — define new integration and RPA patterns.
• Integration Requirements Review — align with HR BPO standards and towers.
• HR IT Landscape & Adjacent Systems — map data exchange and system impacts.
• HR Data Domain Design — define master data domains and naming standards.
• Data Auditing & Automation — develop Python for HR data QA and migration; RPA patterns.

Skills

Advanced SQL

Python

ETL

RPA design experience

KNIME

Tools

Oracle HCM

HDL

Business Objects

Job description

DHL Supply Chain is seeking a Senior HR Data Engineer in the US to lead high-complexity HR data transformations, migrations, and automation projects. You will design end-to-end ETL/SQL flows, define data architectures, and advise on integration patterns within HR IT landscapes.

The role requires advanced SQL, Python, and experience with HR data domains, Oracle HCM or equivalents, HDL and BI tools, plus RPA design and cross-functional collaboration.