Data Engineer
Level
Senior
Specialization
Data Engineer
Location
EU
About this position
SoftTeco is looking for a highly skilled Data Engineer to join a dynamic international project in the healthcare domain.
We are developing a patient engagement platform for clinical trials, where human-supervised AI transforms unstructured patient criteria into structured data, enabling efficient and accurate matching of patient profiles with clinical trials.
The ideal candidate should have deep hands-on experience, a collaborative mindset, and strong enthusiasm for data engineering in cloud environments.
Responsibilities
- Design, build, and maintain scalable analytical data platforms and pipelines using Python and SQL;
- Own and continuously improve data modeling practices, leveraging tools such as dbt to ensure data quality, consistency, and usability;
- Develop, maintain, and optimize ETL/ELT processes to support reliable and timely data ingestion and transformation;
- Design and manage data warehouse solutions, including hands-on work with Snowflake (architecture, performance tuning, and cost optimization);
- Work with relational databases (e.g., PostgreSQL), ensuring robust database design and efficient querying;
- Collaborate closely with engineering, product, and analytics teams to understand data requirements and translate them into scalable data solutions;
- Contribute to the design and operation of cloud-based data infrastructure, preferably within the Azure data ecosystem (Data Lake, Databricks, Data Factory);
- Monitor, troubleshoot, and improve data pipelines and platform reliability in production environments;
- Support integration of data platforms with microservices and APIs, ensuring seamless data flow across systems;
- Work with streaming and real-time data technologies such as Kafka and Flink;
- Support deployment and operationalization of machine learning and AI models within the data platform.
Technical skills
- 5–10 years of experience as a Data Platform Engineer, Data Engineer, or Analytics Engineer;
- Strong proficiency in Python and SQL;
- Experience owning, maintaining, and improving analytical data modeling practices using tools such as dbt;
- Experience owning, maintaining, and improving ETL/ELT processes;
- Ideally, 1–2 years of hands-on, production-grade experience with Snowflake, including architecture design, query performance optimization, and cost monitoring;
- Strong database knowledge, including database design and programming (e.g., PostgreSQL);
- Practical knowledge of the Azure data stack is highly beneficial (Azure Data Lake, Databricks, Azure Data Factory, etc.);
- Familiarity with microservices architecture and related technologies, such as Kubernetes, Docker, and REST APIs;
- Proficiency in Apache Kafka and Apache Flink;
- Experience developing and deploying machine learning and AI models.
Non-technical skills
- Excellent English language skills (both written and verbal, minimum B2 level);
- Strong analytical thinking to understand complex data requirements, troubleshoot issues, and optimize data processes;
- Effective communication skills to collaborate with cross-functional teams, translate technical concepts, and manage stakeholder expectations;
- Proven ability to work independently and within agile teams, balancing priorities and meeting deadlines;
- Experience in cloud data environments and familiarity with data governance and security best practices is a plus.
Work schedule
- Full-time position;
- Flexible schedule from Monday to Friday. Most of our team members work from 10:00 am to 6:00 pm.
Application Steps
- Fill in our application form provided below, attach your CV and send it to us.
- Our recruiters will carefully review your career expectations and experience and then will provide feedback on available positions.
- The recruiter will contact you and will provide detailed information about the company. You will also select the suitable time and date for your interview.
- During the interview (about 30 min), our HR specialist will discuss your expected career goals, experience, and your expectations from the company. We will also check your level of English.
- The technical interview (about 1 hour) will be conducted by our team lead. Depending on the position, we may also present a spontaneous challenge to solve.
- Upon successful interview completion, you will receive a formal job offer. It will outline the details of the position, including the agreed-upon terms, salary, benefits, and other relevant information.
Our Benefits
Comfortable working environment & flexible hours; opportunity for remote work.
Holidays based on the official calendar of your country.
Relocation opportunities or options to work from SoftTeco’s offices based in other countries.
Health insurance, compensation packages for sports; and corporate discounts from SoftTeco’s partners.
Mentoring, internal knowledge sharing, all-hands meetings, and our corporate English courses.
Comprehensive Career Pathway system designed to facilitate employees’ professional growth and development within the organization.
Corporate events for employees and their families, sponsored by the company; gifts on working anniversaries and professional holidays.
Working at SoftTeco
We understand how important it is to find a vacancy that would fit your tech stack and skills level. But we also understand that it’s even more important to find a team of people who will make your work comfortable and enjoyable, and who will inspire you to grow and learn. Trust, expertise, rationality, and involvement are the core qualities that form SoftTeco’s culture and help us build long-term relationships with our employees and partners.
Current Job Openings
SoftTeco constantly expands its expertise and as we do so, we are in need of top industry talents to help us resolve complex technical challenges and bring innovation to our clients. If you are looking for the next step in your career, we encourage you to explore our Job Openings page and see if your perfect vacancy awaits you.
Our Locations
Lithuania
82 Laisves al., Kaunas, 44250
42A, Dariaus ir Gireno st., Vilnius, 02189
United States
22 Juniper st., Wenham, Massachusetts, 01984
Georgia
1 Meliton And Andria Balanchivadze st., Tbilisi, 0667
United Arab Emirates
Office No. 19-177MF, Owned by Shamsa Mohammed Ibrahim Al-Suwaidi, Al-Murar, Dubai
United Kingdom
Loughborough Technology Centre, Epinal Way, Loughborough, LE11 3GE
Poland
9A/4U Belwederska st., Warsaw, 00-761
Bulgaria
Knyaginya Maria Luiza 1 Blvd., Plovdiv, 4000
Lithuania
82 Laisves al., Kaunas, 44250
42A, Dariaus ir Gireno st., Vilnius, 02189
United Kingdom
Loughborough Technology Centre, Epinal Way, Loughborough, LE11 3GE
United States
22 Juniper st., Wenham, Massachusetts, 01984
Poland
9A/4U Belwederska st., Warsaw, 00-761
Georgia
1 Meliton And Andria Balanchivadze st., Tbilisi, 0667
Bulgaria
Knyaginya Maria Luiza 1 Blvd., Plovdiv, 4000
United Arab Emirates
Office No. 19-177MF, Owned by Shamsa Mohammed Ibrahim
Al-Suwaidi, Al-Murar, Dubai
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