Data Engineer

DATA ENGINEER II

At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world. 

Job Overview

The Data Engineer – II role at TE Connectivity is a mid‑level technical position responsible for designing, developing, and maintaining scalable data pipelines that support enterprise data, analytics, and reporting needs. The role focuses heavily on cloud-based data engineering using Azure (preferred) or AWS services. The engineer works closely with data analysts, data scientists, and business stakeholders to ensure high‑quality, reliable, and accessible data for decision‑making.

The position requires strong hands-on expertise in cloud data platforms such as Azure Data Factory, Azure Databricks, Azure Synapse, Data Lake Storage, or equivalent AWS technologies. The engineer is expected to build ETL/ELT workflows, optimize performance, ensure data quality and governance, and troubleshoot pipeline issues. The role also involves designing scalable data models, supporting modern data lakehouse frameworks, and contributing to business insights through robust data engineering practices.

Roles & Responsibility:

• As an Azure Data Engineer, you will be responsible for designing, building, and maintaining data pipelines to support business and analytics needs. You will work closely with data analysts and business stakeholders to understand their needs and develop solutions to meet those needs.
• 4+ Years of experience in Data Engineering with cloud platforms such as Azure and/or AWS.
• 4+ years of hands-on experience in Azure technologies such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Data Lake Storage, or equivalent AWS services such as AWS Glue, Amazon EMR / AWS Glue Spark, Amazon Redshift, and Amazon S3.
• Design, develop, and manage scalable data pipelines that integrate information from various sources into a centralized data lake or data warehouse using Azure Data Factory or AWS Glue, storing data in Azure Data Lake Storage or Amazon S3.
• Extract, transform, and load (ETL/ELT) data from a variety of sources including on-premises databases, cloud-based data stores, and APIs, leveraging tools such as Azure Data Factory, Azure Databricks, AWS Glue, or AWS Lambda.
• Optimize and tune data pipelines for performance, scalability, and cost efficiency across cloud platforms using best practices and automation tools.
• Ensure data quality, integrity, and security throughout the data lifecycle by implementing data governance policies, monitoring frameworks, and compliance standards.
• Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and design scalable data models, pipelines, and analytical datasets to support business insights and decision-making.
• Monitor and troubleshoot data pipelines, identifying and resolving issues in a timely manner to minimize impact on business operations.

 

Desired Candidate Profile:

• Any Degree
• Proven experience as a data engineer, with a focus on designing and building data solutions on Azure/AWS.
• Strong proficiency in SQL.
• Experience with data modeling, schema design, and performance optimization techniques.
• Familiarity with data integration patterns, ETL/ELT processes, and data warehousing concepts.
• Excellent problem-solving and analytical skills, with the ability to troubleshoot complex data issues and drive resolution.
• Effective communication and collaboration skills, with the ability to work effectively in a remote and cross-functional team environment.

Experience with modern data lakehouse architectures using platforms such as Databricks, Delta Lake, or equivalent technologies is a plus.

MOTIVATIONAL/CULTURAL FIT

 

As a data engineer, must be driven by the challenge of turning raw data into valuable insights. With expertise in optimizing data pipelines and a passion for innovation, must be committed to powering informed decisions, and driving success for the organization.

Competencies

Values: Integrity, Accountability, Inclusion, Innovation, Teamwork

ABOUT TE CONNECTIVITY

TE Connectivity plc (NYSE: TEL) is a global industrial technology leader creating a safer, sustainable, productive, and connected future. As a trusted innovation partner, our broad range of connectivity and sensor solutions enable the distribution of power, signal and data to advance next-generation transportation, energy networks, automated factories, data centers enabling artificial intelligence, and more.

Our more than 90,000 employees, including 10,000 engineers, work alongside customers in approximately 130 countries. In a world that is racing ahead, TE ensures that EVERY CONNECTION COUNTS. Learn more at www.te.com and on LinkedIn, Facebook, WeChat, Instagram and X (formerly Twitter).

 

WHAT TE CONNECTIVITY OFFERS:
We are pleased to offer you an exciting total package that can also be flexibly adapted to changing life situations - the well-being of our employees is our top priority!

•    Competitive Salary Package
•    Performance-Based Bonus Plans
•    Health and Wellness Incentives
•    Employee Stock Purchase Program
•    Community Outreach Programs / Charity Events
•    Employee Resource Group

 

IMPORTANT NOTICE REGARDING RECRUITMENT FRAUD
TE Connectivity has become aware of fraudulent recruitment activities being conducted by individuals or organizations falsely claiming to represent TE Connectivity. Please be advised that TE Connectivity never requests payment or fees from job applicants at any stage of the recruitment process. All legitimate job openings are posted exclusively on our official careers website at te.com/careers, and all email communications from our recruitment team will come only from actual email addresses ending in @te.com. If you receive any suspicious communications, we strongly advise you not to engage or provide any personal information, and to report the incident to your local authorities.

Across our global sites and business units, we put together packages of benefits that are either supported by TE itself or provided by external service providers. In principle, the benefits offered can vary from site to site.

 

Experience Level

Mid Level