Senior 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 a
Medior Data Engineer
to develop, support, and optimize ETL/ELT data pipelines in a high-volume data warehouse ecosystem. The ideal candidate brings solid, hands-on experience with data movement patterns and performance tuning, along with an interest in building domain understanding across telecommunications areas such as billing, product, customer, and operational interfaces.

Main requirements:
Hands-on experience with Python, Databricks, Snowflake, Kafka, Spark, and databases, including building batch and streaming pipelines, data modeling, and data quality practices.

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

As a
Medior Data Engineer
, you will help develop, maintain, and support ETL/ELT pipelines for large-volume enterprise data and contribute to data quality checks and governance practices end-to-end.

Core Responsibilities

• Collaborate with lead and senior engineers to understand requirements and translate them into implementation tasks.
• Help develop and maintain ETL/ELT pipelines for large-volume enterprise data in Snowflake (or similar platforms).
• Support implementation of data loading frameworks (batch, incremental, CDC, micro-batch, and streaming where applicable) and operational observability.
• Help build and maintain automation for ingestion, transformation, testing, deployment, and monitoring across data lifecycle stages.
• Contribute to data quality checks, reconciliation controls, lineage capture, and metadata standards for production-grade reliability.
• Leverage AI-fueled coding (AIFC) practices to improve productivity, reduce defects, and accelerate delivery timelines.
• Participate in code reviews, follow best practices, and improve documentation and code quality through feedback and collaboration with senior engineers.

Technical Skills

• Hands-on experience with Python and databases (SQL/NoSQL) for building data solutions.
• Hands-on experience with Databricks and Spark for batch processing and basic streaming use cases.
• Hands-on experience with Snowflake for data warehousing and performance-aware development.
• Working experience with Kafka and real-time streaming data integration patterns.
• Working experience with cloud, Docker, and CI/CD practices.
• Working experience with AI-powered IDEs and tools (e.g., Visual Studio, GitHub Copilot, Windsurf, Cursor).
• Good analytical, problem-solving, and communication skills.

Years of experience:
1+ years
of data engineering experience, with some hands-on experience supporting, building, and operating 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 3 283EUR - 4 933EUR gross per month.

Salary range for
Czech Republic
is between 94 633CZK - 141 941CZK 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:
40

Time Type:
Regular

Location:
Bratislava, Slovakia, Brno, Czechia

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.

JobCategory:BigData

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:
40

Time Type:
Regular

Location:
Bratislava, Slovakia, Brno, Czechia

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.

JobCategory:BigData

Job Description
Are You Ready to Make It Happen at Mondelēz International?
Join our Mission to Lead the Future of Snacking. Make It Possible.
Main Responsibilities

• Data Analysis & Reporting
• Perform regular analysis of business data; identify trends, anomalies, and insights
• Develop and maintain recurring reports and dashboards for key business metrics
• Execute data quality checks and prepare structured correction recommendations
• Prepare statistical and operational reports for management audiences
• Support ad hoc analysis requests from functional stakeholders
• Document data sources, definitions, and reporting methodologies
• Data Management & Governance
• Maintain and update data repositories, ensuring completeness and accuracy
• Support data cleansing activities and resolve data integrity issues
• Assist in establishing and documenting data governance standards
• Manage data access requests and maintain permission records
• Support data migration and integration activities for new systems or processes
• Dashboard & Visualization Development
• Build and maintain interactive dashboards using BI tools (Power BI, Tableau, or similar)
• Translate business requirements into clear, actionable visualizations
• Automate recurring reporting processes where possible
• Ensure dashboards are refreshed on schedule and data sources are validated
• Train end-users on dashboard navigation and self-service analytics capabilities
• AI & Automation Support
• Evaluate and recommend AI tools and platforms for analytics workflows (e.g., generative AI, ML models)
• Identify automation opportunities to reduce manual data processing and reporting effort
• Leverage AI-assisted analytics to enhance data exploration, pattern recognition, and insight generation
• Support the integration of predictive analytics and AI models into existing reporting frameworks
• Stay current with emerging AI/ML technologies and share knowledge with team members
• Ensure responsible AI usage aligned with Mondelēz data governance and ethics policies

Requirements

• 0–2 years of experience in a data analytics, business intelligence, or reporting role
• Exposure to analytics tools (e.g., Power BI, Tableau, SQL) and ERP systems preferred
• Exposure to AI/ML tools (e.g., generative AI platforms, predictive analytics, ChatGPT, Copilot) and willingness to adopt emerging technologies
• Strong analytical and data management skills; proficiency in Microsoft Excel required
• Ability to work with large datasets and cross-functional teams
• University degree (Bachelor's) in Business Analytics, Statistics, Computer Science, Economics, or related field
• Fluency in English; additional language is an advantage

We pride ourselves on having a high performing and collaborative culture where we support your career and development. In return for your commitment, drive and enthusiasm, we offer
salary starting from 1.950€ plus annual bonus payment based on your performance
. The final offer will depend on the skills and previous experience of the candidate. We also offer top attractive benefits.

Relocation Support Available?
No Relocation support available

Business Unit Summary
We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply!

Our people make all the difference in our succes
Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Excited to grow your career?
We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply!

IF YOU REQUIRE SUPPORT TO COMPLETE YOUR APPLICATION OR DURING THE INTERVIEW PROCESS, PLEASE CONTACT THE RECRUITER
Job Type
Regular

Transportation, International Logistics & Customs

Customer Service & Logistics

Are you passionate about turning complex data challenges into elegant, scalable solutions? Do you thrive at the intersection of engineering, analytics, and cutting-edge AI? If so, Swiss Re wants to hear from you. Join a global leader in reinsurance and help shape the future of data-driven decision-making.

About The Role
As an Analytics Engineer, you'll be at the heart of building intelligent, scalable platforms that power information retrieval, document analytics, and enterprise knowledge systems. This is more than a development role — it's an opportunity to architect solutions that have real business impact across a global organisation. You'll work in a dynamic Agile environment, partnering with business and engineering teams to design, build, and operate modern data-driven products that matter.

Key Responsibilities

• Design, develop, and maintain scalable data engineering and analytics solutions that meet evolving business needs
• Build end-to-end applications and services for document analytics and information retrieval, ensuring performance and reliability
• Develop robust, cloud-native solutions leveraging modern engineering practices and cutting-edge technologies
• Contribute to solution architecture, driving continuous improvement and platform reliability across the stack
• Collaborate closely with business stakeholders and cross-functional teams to translate requirements into impactful technical solutions
• Apply Agile, DevOps, and CI/CD best practices throughout the full software development lifecycle to ensure quality and speed of delivery

About The Team
You'll be joining Group Data Services (GDS) at Swiss Re — a forward-thinking team dedicated to building scalable data and AI solutions that power information retrieval, document analytics, and enterprise knowledge platforms. GDS operates at the forefront of data innovation, enabling smarter, faster, and more informed decisions across the organisation. The team thrives on collaboration, continuous learning, and a shared commitment to engineering excellence in an Agile environment.

About You
You are a curious, solutions-oriented engineer who loves tackling complex data problems and turning them into scalable, impactful products. You bring a collaborative spirit, a growth mindset, and the ability to communicate effectively across technical and business teams. You embrace continuous learning and are energized by working in a fast-paced, innovative environment where your contributions make a tangible difference.

We Are Looking For Candidates Who Meet These Requirements

• Python expertise: hands-on software development experience with strong Python programming skills (Java experience is a plus)
• Scalable data application design: Proven experience designing and building scalable, data-intensive applications from the ground up
• Core data engineering technologies: Hands-on knowledge of SQL, Apache Spark, Kubernetes, and CI/CD pipelines in production environments
• Agile development experience: Demonstrated experience working within Agile development teams, contributing to iterative delivery and continuous improvement

These Are Additional Nice To Haves

• Experience with Palantir Foundry and its data integration and transformation capabilities
• Exposure to Large Language Models (LLMs), AI engineering, or Retrieval-Augmented Generation (RAG) techniques
• Experience working with cloud platforms such as Microsoft Azure, AWS, or equivalent

Role
For Slovakia the
base salary range
for this position is between EUR 2,400 and EUR 4,100 per month (for a full-time role). The specific salary offered considers:

• the requirements, scope, complexity and responsibilities of the role,
• the applicant’s own profile including education/qualifications, expertise, specialisation, skills and experience.

In addition to your base salary, Swiss Re offers an attractive performance-based variable compensation component, designed to recognise your achievements. Further you will enjoy a variety of global and location specific benefits.

Eligibility may vary depending on the terms of Swiss Re policies and your employment contract.

About Swiss Re
Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 15,000 employees across the world.

Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability.

If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience.

We may use AI-powered tools to support the review and evaluation of applications for this position. These tools provide additional insights to our recruitment teams, but all hiring decisions are carefully reviewed and made by people. To learn more about how we use AI in recruitment and how we handle your personal data, please review our Data Privacy Statement before applying.

Keywords
Reference Code:
138720