T Hub - Data Engineer

WHAT TASKS AWAIT YOU?

What You’ll Do:

• Orchestrate Data Pipelines:Design, build, and maintain robust data workflows using Dagster, ensuring reliable and observable data delivery across development, testing, and production environments.

• Pipeline Configuration & Deployment:Manage configuration-driven pipelines, support dynamic partitioning, and integrate Dagster with version control, CI/CD tools, and containerized environments (e.g., Kubernetes, Docker).

• Data Services DevelopmentDevelop scalable configurable services for different common orchestration tasks like data profiling or aggregation.

• Data Quality and Testing:Implement data validation, unit and integration testing within Dagster workflows to ensure correctness and maintain trust in the data.

• Collaboration & Integration:Work closely with business analyst, data architect and business stakeholders.

• Monitoring and Observability:Set up logging, alerting, and monitoring for workflows using Dagster’s observability features and external tools (e.g., ELK Stack).

• Documentation & Best Practices:Document pipelines, configurations, and workflows thoroughly. Promote best practices for reproducibility, lineage, and maintainability.

• Platform & Tooling Development:Support improvements to our data platform by integrating new tools, automating deployment, and contributing to shared libraries and reusable componentsQualifications:

• Must-Have:

• Solid knowledge of Python and experience with writing production-grade code in data workflows.

• Strong SQL skills and a solid understanding of relational databases and data warehouse concepts.

•  Experience with ETL/ELT development using tools like Spark, Pandas, or custom scripts.

• Familiarity with data pipeline testing, quality gates, and configuration validation (e.g., Pydantic, Dagster config schemas).

• Understanding of data lineage, metadata tracking, and reproducibility in workflow systems.

• Strong collaboration and communication skills, with the ability to work cross-functionally.

WHAT SKILLS WILL BE APPRECIATED?

• Hands-on experience with Dagster or a modern orchestration tool (e.g., Prefect, Airflow, Mage).

• Experience deploying Dagster with Kubernetes, Docker, and Helm.

• Familiarity with CI/CD for data workflows and automated testing (e.g., GitHub Actions, GitLab CI).

• Knowledge of data modeling and data warehouse design (e.g., dimensional modeling, star/snowflake schemas).

• Experience with data catalog tools and metadata APIs.

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.

Benefits

No dress code - you can just be yourself here

Medical, sport and life insurance packages at preferential terms

Access to: Percipio, Coursera, Rodos learning platforms

Access to our products and services at preferential terms

Employment contract-based cooperation

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

WHAT WILL YOUR RECRUITMENT PROCESS BE LIKE?

A fair approach to all people who want to join T Hub means that:

• The recruitment process is transparent;

• Our recruitment decision is based solely on an assessment of your skills (your race, skin color, sexual orientation, gender identity, origin, disability, political view, appearance, or religion will not have any influence on he outcome of the process):

• Regardless of the outcome of the process, you will get detailed feedback.

Let’s meet to better understand each other's expectations.

Our screening meeting will last about 20-30 minutes. We will ask you about our areas of interest and will be happy to field any questions you may have.

Hiring Manager will receive a recommendation for your application.

There’s nothing for you to do at this stage — we’ll take care of everything. During this time we process all the information we've gathered during the screening process and dig deeper into your CV.

Technical meetings with the Hiring Manager and/or team members.

We will invite you to one or two project meetings to confirm that we have a ‘perfect match'. The meetings may last between 30 minutes and 90 minutes, during which time we will talk to you about mutual expectations and the vision for our collaboration. You will also most likely meet your future supervisor and your teammate during this time.

Time to decide!

At this stage, we will have decided that you are the person we want to develop our projects with. We will then come back to you with an offer of collaboration, hoping for your "yes". If for some reason, we are unable to offer you a position in our team, you will certainly receive feedback from us explaining our decision.