Data Contracts Engineer (m/f/d) Customer Value and Digital Engagement Department

Job ID: 3540014

Data Contracts Engineer (m/f/d) Customer Value and Digital Engagement Department

Warsaw

Professional

Application deadline: 30.12.2026

Other Employment Type

T-Mobile Polska

Your Task

• D refining the architecture and standards of the date of contracts in the company
• Design and implementation of contract date (formats, schemas, validation, versioning process)
• Implementation of automatic validation of schemas and data quality
• A collection of tools to support contract automation
• Establish processes for the creation, maintenance and evaluation of data contracts
• Collaborate with product teams, data engineering, BI and data owners, in arguing with development teams to define contracts

Your Profile

• A minimum of 4—5 years of practical experience in Data Engineering, Data Governance, Data Quality, Data Analysis or related areas, including experience in independently designing and implementing cross-cutting solutions.

• Practical knowledge of issues related to Data Contracts (defined data contracts, quality requirements) and tools supporting contract automation (e.g. OpenAPI /JSON Schema, tools for CI/CD, data QA)

• Experience in data analysis, processing and modeling, knowledge of the architecture of Data Warehouse and Big Data solutions

• Knowledge of SQL query creation at an advanced level supported by practical work experience

• Experience in designing data models and building data layers

• Practice in data quality assurance (testing, monitoring, alerting )

• Experience in technical documentation and code review

• Experience in independently conducting topics that require multi-team collaboration — identifying dependencies, setting responsibilities, managing blockers and driving decisions.

• Ability to act in a situation of incomplete requirements and lack of a clear solution — from defining the problem to implementing the solution.

• Ability to work in teams and communicate with business, technical and analytical teams.

• Proactivity, responsibility and quality focus in the area of data. Welcomed:

• Knowledge of the ODCS standard With the rental of the GCP ecosystem

• Experience with data management tools such as:

• dbt, Dataform (data transformation and documentation)

- Knowledge Catalog (formerly Dataplex) , Data Catalog (data order management )

• Knowledge of Data Governance and Data Quality

About Us

Join the data transformation program at T‑Mobile and contribute to a program that changes the way we work with data every day. Work with cutting-edge technologies, make a real impact on your data strategy and develop the competencies of the future in a culture open to innovation. Create a space with us to experiment, rapidly prototype and create solutions that shape the future of data-driven telecommunications.

Join a new strategic data transformation project : we are moving analytics from onpremise to GCP, building a data architecture and model from scratch with a strong focus on driving business value and CX for our customers.

We work on technologies: GCP, Spark, Python, Kubernetes, BigQuery, Vertex AI, Terraform, Looker, Oracle. We integrate diverse, high-volume data sources, design streaming and batch processing layers, implement data governance, lineage, data quality and security, as well as CI/CD and Monitoring/SLO to shorten the question-to-answer path for our business and build a solid foundation for AI/LLM solutions.

We are looking for people who combine architecture with engineering practice and understanding of business needs, bring proactivity, energy and fresh ideas, and want to realistically co-shape the standards, patterns and direction of development of our data platform.

Job Benefits

Professional Development

• Work with cutting-edge technologies
• Develop competencies of the future in a culture open to innovation
• Excellent career growth opportunities in a strategic data transformation project

Work-Life Balance

Culture open to innovation with space to experiment and rapidly prototype