Lead Data/AI Engineering
SVK:01:Bratislava / Einsteinova 24 - Adm:24 Einsteinova, Slovakia
AT&T
Shop deals on new phones, including iPhone 16 & Galaxy S25, unlimited data plans & AT&T Fiber. Get 24/7 support, pay bills, and manage your account online.Job Description:
Are you passionate about transforming complex data into actionable insights? AT&T Business is seeking a Lead Data & AI Engineer to design and implement innovative data solutions that empower smarter business decisions. In this role, you’ll work with advanced tools and platforms to process, analyze, and deliver insights that drive business growth and innovation.
Why You’ll Love This Role
Data-Driven Impact: Create scalable and transformative AI solutions using cutting-edge technologies like Databricks, Snowflake, Palantir, Microsoft Co-pilot Studio/Foundry, Agentfoce, etc. and Generative AI (e.g., LLMs, RAG workflows).
Cutting-Edge Technology: Work with structured and unstructured data in a Big Data Lake environment, leveraging advanced tools and statistical methods.
Collaborative Innovation: Partner with data scientists, policy, and security teams to build scalable, compliant, and impactful data solutions.
Skill Development: Grow your career while tackling exciting challenges in data engineering and AI.
Key Responsibilities
AI and Agentic Solutions: Design and implement data pipelines, models, and AI/Agentic solutions to support advanced analytics and AI use cases.
Data Integrity: Validate, normalize, and clean data using advanced tools, applying statistical data quality procedures to ensure reliability.
Platform Development: Build and maintain scalable AI and Agentic solution while ensuring accuracy and data integrity throughout its lifecycle.
Collaboration: Work with policy and security teams to anonymize and synthesize data, ensuring compliance with data governance standards.
Support Decision-Making: Enable data scientists by preparing high-quality data assets for analysis, visualization, and actionable insights.
What You Bring
Technical Expertise: Proven experience with AI technologies (e.g., Databricks, Spark, Snowflake) and programming languages (Python, Java, SQL).
Problem-Solving Skills: Strong ability to handle complex data challenges and deliver solutions that drive business impact.
Collaboration: Excellent communication and teamwork skills to work with cross-functional teams, including legal, security, and data scientists.
Experience: 5–8 years in data engineering or related roles, with a proven track record of building and maintaining scalable data systems.
Education: Bachelor’s degree in Computer Science, Math, or Scientific Computing preferred.
Why AT&T Business?
At AT&T Business, we’re committed to innovation, collaboration, and impact. Join a team that thrives on solving big challenges and enabling smarter business decisions. We offer:
Exciting Projects: Work on transformative Big Data initiatives that influence industries globally.
Career Growth: Access to cutting-edge tools, learning opportunities, and professional development programs.
Comprehensive Benefits: Competitive compensation, robust benefits, and a collaborative environment that values your expertise.
Salary: from 4400 EUR gross/a month. The actual salary is based on skills, experience and knowledge.
Ready to make an impact with Big Data? Apply now to join AT&T Business and help shape the future of data-driven decision-making!
Weekly Hours:
40Time Type:
RegularLocation:
Bratislava, Bratislavsky kraj, Slovak RepublicIt 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.
Tags: Big Data Computer Science Databricks Data governance Data pipelines Data quality Engineering Generative AI Java LLMs Mathematics Pipelines Python RAG Security Snowflake Spark SQL Statistics Unstructured data
Perks/benefits: Career development Competitive pay
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