Senior Enterprise Analytics Data Engineer

TECO Energy; Tampa (FL); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

401k Savings plan with company matching

Pension plan

Paid time off

Medical, Prescription Drug, & Dental Coverage

Tuition Assistance Program

Wellness Programs

Job summary

TECO Energy is seeking an Enterprise Analytics Data Engineer to oversee the data architecture for their business intelligence environment. This role requires establishing best practices for ETL processes, translating user requirements into data models, and mentoring team members. Successful candidates should possess a Bachelor’s degree in a related field, extensive experience with tools such as SAP BW4/HANA and Microsoft Azure, and proficiency in SQL and Python. The position includes competitive salary and comprehensive benefits.

Qualifications

• 7 years of direct work experience in a related field.
• Hands-on experience with SAP BW4/HANA, SQL Server, and Oracle.
• Experience with cloud data warehouses.

Responsibilities

• Define and evolve data architecture to support diverse use cases.
• Establish best practices for ETL design and data federation.
• Translate user requirements into data models.
• Accountable for the quality of data model and ETL deliverables.
• Provide technical oversight and mentoring to team members.
• Serve as a subject matter expert for BIA-related initiatives.

Skills

SQL

Python

ETL design

Cloud data warehouses

Data modeling

Workflow orchestration

Data governance

Education

Bachelor’s degree in Information/Computer Science or related field

Tools

SAP BW4/HANA

Microsoft Azure

PowerBI

Docker

Kubernetes

Job description

TECO Energy is seeking an Enterprise Analytics Data Engineer to oversee the data architecture for their business intelligence environment. This role requires establishing best practices for ETL processes, translating user requirements into data models, and mentoring team members. Successful candidates should possess a Bachelor’s degree in a related field, extensive experience with tools such as SAP BW4/HANA and Microsoft Azure, and proficiency in SQL and Python. The position includes competitive salary and comprehensive benefits.