Lead Data Engineer

At AT&T we’re redefining the future of communication by connecting people to greater possibility - with expertise, simplicity, and inspiration. At the heart of our purpose lies a diverse workforce of 140,000 people and a culture that aspires to serve customers first, act boldly, move faster, and win as one.

Our Product Development group, part of AT&T’s Technology Services (ATS) organization, is responsible for building software-based products, services, and platforms that our customers love and need. Harnessing technology and rebuilding software expertise, the team is inspiring simplicity with projects that deliver revenue and cost savings opportunities.

AT&T continues to expand and modernize its high-volume data warehousing and analytics platforms. We are looking for an advanced Lead Data Engineer to architect, design, build, and optimize enterprise-scale ETL/ELT data pipelines in a high-volume data warehouse ecosystem. The ideal candidate brings deep technical expertise in large-scale data movement patterns and performance tuning, along with functional understanding of telecommunications domains such as billing, product, customer, and operational interfaces.

Main requirements:

Deep expertise in Python, Databricks, Snowflake, Kafka, Spark, and databases, including building scalable batch and streaming pipelines, data modeling, and data quality practices.

Big plus: Deep experience leveraging agentic solutions practices to improve productivity, reduce defects, and accelerate delivery timelines.

As a Lead Data Engineer, you will design, develop, and maintain scalable ETL/ELT pipelines for large-volume enterprise data and ensure robust data quality checks and governance practices end-to-end.

Core Responsibilities:

• Collaborate cross-functionally with product and data engineering teams to scope, define, and translate complex business needs into technical requirements.

• Design, develop, and maintain scalable ETL/ELT pipelines for large-volume enterprise data in Snowflake (or similar platforms).

• Implement robust data loading frameworks (batch, incremental, CDC, micro-batch, and streaming where applicable) with clear SLAs and operational observability.

• Build reusable automation for ingestion, transformation, testing, deployment, and monitoring across data lifecycle stages.

• Build and enforce data quality checks, reconciliation controls, lineage capture, and metadata standards for production-grade reliability.

• Partner with architecture, product, operations, and governance teams to ensure secure, compliant, and high-quality data products.

• Leverage AI-fueled coding (AIFC) practices to improve productivity, reduce defects, and accelerate delivery timelines.

• Participate in code reviews, contribute to best practices, and mentor peers on data engineering technologies and frameworks.

Technical Skills:

• Deep experience with Python and databases (SQL/NoSQL) for building production-grade data solutions.

• Deep experience with Databricks and Spark for large-scale batch and streaming processing.

• Deep experience with Snowflake for data warehousing, performance optimization, and secure data access.

• Deep experience with Kafka and real-time streaming data integration patterns.

• Deep experience with cloud, Docker, and CI/CD practices for scalable, reliable deployments.

• Deep experience with AI-powered IDEs and tools (e.g., Visual Studio, GitHub Copilot, Windsurf, Cursor).

• Exceptional analytical, problem-solving, and communication skills.

Years of experience: 

5+ years of data engineering experience, with hands-on experience designing, building, and operating production-grade ETL/ELT pipelines using Snowflake, Databricks, or similar data platforms and frameworks.

Education: 

Bachelor level degree or equivalent in Computer Science, or related field of study. 

Compensation:

Salary range for Slovakia is between 4 400EUR - 6 600EUR gross per month.

Salary range for Czech Republic is between 131 975CZK - 197 966CZK gross per month.

The individual starting salary within this range will depend on relevant factors such as the candidate’s experience, expertise, skills, and education or training.

Benefits: 

A career with us, a global leader in communications and technology, comes with big rewards. We offer a competitive salary plus an annual company performance bonus. Once you’re a part of the team, you’ll gain some amazing perks and benefits including wellness & leisure time contribution, sickness compensation plan, premium medical services, family friendly benefits as well as meal contribution and extra days of vacation (…and much more). 

Location: 

This is a hybrid-flex worker position where our preference is for you to be present with your team in the office at least 2 days per week.   

Ready to find out more? Apply today!   

Weekly Hours:

Time Type:

Location:

It is the policy of AT&T to provide 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 protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.