T-Hub - Data Engineer with Java
T-Mobile
WHAT TASKS AWAIT YOU?
Design and implement batch and streaming pipelines; select Beam/Spark/Flink based on requirements.
Data transformation ops for analytics and downstream services.
Optimize jobs (performance, cost) and implement robust testing and observability.
Build and manage Airflow orchestration.
Troubleshoot production issues, lead incident resolution, and drive root-cause fixes.
Contribute to team standards, templates, and reusable libraries.
Using Java and Apache Beam as the main programming language and library for the streaming pipelines.
Designs and ships a new pipeline or major refactor with measurable latency/cost improvements
Hands-on, close cooperation with the Data Engineering Lead, resulting in quick onboarding and successful code base understanding
Introduces or improves testing/observability patterns adopted by the team.
WHAT SKILLS WILL BE APPRECIATED?
Strong experience with Google Cloud Platform, including Dataflow, BigQuery performance optimization (partitioning and clustering), Pub/Sub, and Dataproc, as well as Cloud Monitoring and Logging.
Good understanding of IAM, VPC fundamentals, and service accounts.
Deep expertise in Apache Beam, including advanced transformations, windowing and triggering, side inputs and outputs, as well as state and timers for streaming pipelines.
Experience in optimizing resource sizing and performance on Dataflow, including high-throughput and low-latency pipelines, custom IOs, and debugging at runner level.
Strong experience with Apache Spark, including optimization of joins, shuffles, and partitioning, handling schema evolution, and debugging jobs using metrics.
Familiarity with Apache Flink and ability to implement streaming pipelines.
Knowledge of Docker and Kubernetes for job packaging, especially in Spark and Flink environments.
- Advanced SQL skills, including complex queries, performance tuning, and incremental data processing patterns.
Ability to define and enforce data quality checks and acceptance criteria.
Hands-on experience with Airflow, including building and maintaining complex DAGs.
Proven ownership of production-grade data pipelines with focus on reliability and scalability.
Extensive proficiency in Java at an expert level, including concurrency, immutability, and performance profiling.
Experience in building reusable libraries and enforcing code quality, testing standards, and review practices.
Strong skills in system design and API design, including performance-critical code.
Experience in designing and architecting batch and streaming data systems, including selecting technologies and defining standards and guardrails.
Ability to provide technical leadership, drive engineering strategy, and ensure scalability, security, and cost efficiency.
Proven track record of building platform components such as libraries, templates, governance frameworks, and data quality solutions.
Experience with CI/CD for data (e.g. GitHub Actions, Cloud Build) and infrastructure-as-code tools like Terraform.
Minimum of 6 years of experience in data engineering with demonstrated architectural leadership.
Track record of delivering large-scale data systems and influencing cross-team outcomes.
Ability to set architectural direction, ensure compliance and security, and drive measurable platform improvements.
Willingness to travel at least four times per year.
OUR OFFER FOR YOU
Working at T Hub will offer you an unique and highly rewarding experience on IT market. As a leader in the telecommunications industry, we do not only provide a platform to hone your technical skills but also empower you to be a catalyst for innovation.
You'll have the opportunity to work at the forefront of modern technologies, from 5G to IoT and AI, shaping the future of connectivity.