Data Engineer
Your responsibilities:
As a Data Engineer, you will play a critical role in architecting and implementing the data infrastructure to support our AI initiatives. You will collaborate with data scientists, business stakeholders, and external collaborators to enable clean, accessible, and well-modeled datasets that fuel advanced analytics and machine learning solutions.
- Design and Build Scalable Data Pipelines:
Develop and optimize pipelines to ingest, transform, and curate structured and unstructured data from both internal and external sources. - Data Profiling, Mapping & Standardization:
Profile data, identify quality issues, and align disparate datasets. Define data models and standardization frameworks to support scalable, reusable, and AI/ML-ready data products. - Data Product Engineering & API Development:
Build, manage, and document secure, reusable data assets and APIs to power advanced analytics and machine learning use cases. - Architect and Operationalize Data Infrastructure:
Contribute to the architecture and implementation of scalable data platforms, including the Partnering Data Insight Hub, leveraging AWS-native services. - AI/ML Enablement:
Collaborate with data scientists and AI/ML engineers to ensure data solutions are optimized for downstream AI applications, including support for LLM and AI agent workflows. - Metadata Management & Data Governance:
Integrate data lineage, governance, and metadata management practices into all solutions to ensure compliance and traceability. - Monitoring and Event Frameworks:
Design and implement event-driven monitoring systems to track changes in key datasets, enabling real-time alerts for critical updates (e.g., clinical trial data, research releases). - Container and Workflow Orchestration:
Deploy and manage scalable, portable data processing workloads using containerization (e.g., Docker) and orchestration frameworks such as Amazon EKS. Support orchestration of AI workflows using tools like Google Agent Development Kit (ADK) and similar frameworks. - Continuous Improvement:
Evaluate and evolve data engineering tools and practices to improve performance, maintainability, and scalability of our data solutions.
We are looking for you, if you have:
Basic Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related technical field.
5+ years of experience in data engineering or a similar role, preferably in a complex enterprise environment.
Proven experience building and maintaining scalable data pipelines and architecture in the cloud (preferably AWS). - Strong proficiency in SQL, Python, and data modeling.
- Solid understanding of data quality, integration, transformation, and curation best practices.
- Experience with structured and unstructured data sources and working with APIs.
- Strong communication and collaboration skills – able to work across teams and functions.
- Solid understanding of data governance, data security, and data privacy principles.
Preferred Qualifications:
- Experience with defining data standardization and data modeling for complex data ecosystems.
Hands-on experience with AWS data services (e.g., Glue, Redshift, Lake Formation, Lambda, S3, Athena, etc …). - Familiarity with data cataloging, metadata management, and governance frameworks.
- Experience working in support of AI/ML pipelines and data science workflows.
- Understanding of healthcare/life sciences or partnership/business development domains is a plus.
- Experience working in an Agile development environment.
We offer:
- Interesting and challenging projects
- Flexible working hours
- Friendly, non-corporate atmosphere
- Stable working conditions (CoE or B2B)
- Possibility for self-development and promotion in the company
- Rich benefits package
- Possibility to work remotely
We reserve the right to contact the selected candidates.
Why is it
worth joining TTMS?
Flexible working hours
Not everyone is comfortable operating a company during the standard 9 a.m. – 5 p.m. hours. We have been successfully running projects for many years despite diversified work patterns.
Possibility of remote work
At TTMS, desk-to-desk work is what drives us, but we understand if someone prefers a remote or hybrid model. We are equipped with all the necessary tools to perform either at home or in the office.
Great, non-corporate atmosphere
Professionalism, attention to the quality of work and a friendly, informal atmosphere are not mutually exclusive. A flat structure and natural, friendly relationships create the basis for creativity and innovation.
Interesting, international projects
We create solutions for medium and large companies, we are present in Poland, Malaysia, Denmark, the UK, Switzerland, and India – the effects of your work will travel around the world. In TTMS you have an influence on the company’s success.
Together towards climate neutrality
We select subcontractors to minimize the carbon footprint, organize bush plantings, save peat bogs – all to achieve climate neutrality in 2025. We are glad that we are attracting more and more people who also care about sustainable development and environmental protection.
Friendly offices
Our offices are modern spaces that inspire employees and are environmentally friendly. Białystok is the kingdom of Marvel superheroes, Krakow is a soothing tropical forest, Wrocław is an art gallery, and the Lublin branch is a rock “hall of fame”.
Would you like to work for us?
Sending CV
Include information about technical skills, knowledge of programming languages and IT tools, and possibly experience in projects.
Phone Screening
The interview is aimed at assessing the candidate’s suitability for the position and verifying basic information from the CV. It is also an opportunity to discuss the candidate’s expectations and briefly present the job description and working conditions.
HR + technical meeting
We talk about the candidate’s professional experience, but also expectations regarding the new job. This is also the moment to check references and confirm the authenticity of the information provided, which allows you to get to know the candidate better and assess his fit with the company’s organizational culture.
Client company meeting
The candidate is introduced to the client. This stage aims to match the future employee to a specific project, taking into account both their technical skills and design preferences, which maximizes the chances of successful cooperation.
Employment
We sign an agreement that includes the terms of cooperation, scope of duties, remuneration and other key aspects of employment, such as the rights and obligations of both parties. From now on, the candidate becomes an official employee of the company.
Onboarding + first day of work
A comprehensive process of familiarizing a new employee with the organization, team and tools, aimed at making it easier for him to join work as quickly and effectively as possible. In TTMS, we use an internal e-Learning platform to conduct modern onboarding.
Our offices
Warsaw
The heart of our company and our command center
The Management Board of the company and management of individual business areas function here. On a daily basis, it is here that the most important, strategic and business decisions are made, as well as pro-ecological iniciatives. The Warsaw branch – located in Varso Tower – aims to be the first to create a fully eco-friendly office using renewable Energy and environmentally friendly materials, which is confirmed by the BREEM certificate.