T-Hub - Data Engineer Java

• 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.

• Strong experience with Google Cloud Platform, including Dataflow, Big Query 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. Git Hub 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.

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.

No dress code - you can just be yourself here

Medical, sport and life insurance packages at preferential terms

Access to our products and services at preferential terms

Employment contract-based cooperation

Know Talent - receive training or financial bonus for recommending new employees