Sr Data Engineer

Are you ready to shape the future of data at Jack Links Were looking for a Senior Data Engineer to play a pivotal role in evolving our modern data foundation enabling the next generation of analytics automation and insights. At Jack Links we are building an analytics capability that fuels smarter decisions faster innovation and stronger business outcomes.

Were looking for a Senior Data Engineer to lead the development of scalable end-to-end data pipelines that power analytics automation and external product integrations. This full-stack role spans the entire data lifecyclefrom ingestion and transformation to governance and infrastructure. A key focus area is building and maintaining scalable data pipelines from multiple data sources such as S/4HANA and Datasphere into Microsoft Fabric.

Youll work closely with IT professionals product owners business relationship managers and analytics teams to design and maintain data models schemas and tables that support reporting dashboards and ML/AI workflows. A strong focus will be on building and maintaining data pipelines; and data preparation and feature engineering to ensure data is structured accessible and optimized for decision-making. This role collaborates with enterprise data architects platform engineers and analytics product owners and is ideal for someone who thrives in a cross-functional product-oriented environment.

Core Responsibilities:

• Build & Manage Data Pipelines:
  Design and maintain scalable pipelines for ingesting transforming and storing data from SAP and non-SAP sources into Microsoft Fabric.
• Lead Medallion Architecture Design in Microsoft Fabric:
  Design and manage bronze silver and gold layer structures within Microsoft Fabric to support scalable governed and analytics-ready data pipelines.
• Develop in Microsoft Fabric:
  Use tools like Lakehouse Data Warehouse and Notebooks to process and transform data efficiently.
• Model & Prepare Data for Analytics:
  Build robust data models and perform feature engineering to support reporting dashboards and ML/AI use cases.
• Integrate SAP Systems:
  Connect SAP Datasphere and S/4HANA analytics into Fabric; orchestrate SAP and non-SAP data flows.
• Ensure Data Quality & Governance:
  Implement governance practices maintain metadata and ensure data integrity across platforms.
• Automate with Code:
  Write clean efficient Python and SQL for ETL workflows automation and API development.
• Support MLOps & AIOps:
  Help deploy and monitor analytics models using modern DevOps practices.
• Collaborate & Mentor:
  Partner with business analytics and IT teams; mentor junior engineers and promote best practices.

Qualifications :

Required Education:

• Bachelors degree in Information Technology Computer Science or related field or equivalent experience. 

Required Skills & Qualifications:

• 7 years professional experience as data engineer
• Proven experience managing complex data pipelines and lakehouse architectures.
• Strong expertise in SQL Python and Spark.
• Deep understanding of data modeling data architecture and data governance.
• Familiarity with Microsoft Fabric.
• Familiarity with SAP data extraction and integration.
• Strong problem-solving skills and the ability to communicate effectively with both technical and non-technical stakeholders.
• Comfortable working in a product-oriented analytics team environment.
• Interest in building the data foundation that enables automation and advanced analytics.

Preferred Qualifications:

• CPG manufacturing or adjacent manufacturing and retail company experience a plus.
• Demonstrated interest and investment in professional development through ongoing education professional certifications participation in knowledge networks etc.
• Experience with internal analytics product development and external data product integration.
• Experience with multiple data lake/ lakehouse platforms Microsoft Fabric Microsoft Azure Databricks Snowflake and/ or GCP.
• Knowledge of DevOps practices related to data engineering.
• Familiarity with CI/CD pipelines and tools for data workflows.

Additional Information :

The salary range for this role is $110000 - $150000 (annual). Actual rates will vary based on several factors including but not limited to external market data internal equity location and candidate skill set and experience. Base pay is just one component of Jack Links Total Rewards package for Team Members. Other rewards may include annual incentive and program-specific awards. Jack Links provides a variety of benefits to eligible Team Members including medical dental and vision benefits life and disability insurance 401k participation paid holidays and paid time off.

EQUAL EMPLOYMENT OPPORTUNITY EMPLOYER:
Jack Links provides equal employment opportunity (EEO) to all persons regardless of age color national origin citizenship status physical or mental disability race religion creed gender sex sexual orientation gender identity and/or expression genetic information marital status status with regard to public assistance veteran status or any other characteristic that is protected by federal state or local law.

E-VERIFY:
Jack Links is participant in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees.  For information about the E-Verify program please visit:   your information will be kept confidential according to EEO guidelines.

Remote Work :

No

Employment Type :

Full-time