Senior Data Engineer Job at N-iX

Senior Data Engineer

N-iX

Location:
Ukraine

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

We are seeking a proactive Senior Data Engineer to join our vibrant team. As a Senior Data Engineer, you will play a critical role in designing, developing, and maintaining sophisticated data pipelines, Ontology Objects, and Foundry Functions within Palantir Foundry. The ideal candidate will possess a robust background in cloud technologies, data architecture, and a passion for solving complex data challenges. Technical stack: Palantir Foundry, Python, PySpark, SQL, TypeScript.

Job Responsibility:

Collaborate with cross-functional teams to understand data requirements, and design, implement, and maintain scalable data pipelines in Palantir Foundry, ensuring end-to-end data integrity and optimizing workflows
Gather and translate data requirements into robust and efficient solutions, leveraging your expertise in cloud-based data engineering. Create data models, schemas, and flow diagrams to guide the development process
Develop, implement, optimize, and maintain efficient and reliable data pipelines and ETL/ELT processes to collect, process, and integrate data to ensure timely and accurate data delivery to various business applications, while implementing data governance and security best practices to safeguard sensitive information
Monitor data pipeline performance, identify bottlenecks, and implement improvements to optimize data processing speed and reduce latency
Assist in optimizing data pipelines to improve machine learning workflows
Troubleshoot and resolve issues related to data pipelines, ensuring continuous data availability and reliability to support data-driven decision-making processes
Stay current with emerging technologies and industry trends, incorporating innovative solutions into data engineering practices, and effectively document and communicate technical solutions and processes

Requirements:

5+ years of experience in data engineering, preferably within the pharmaceutical or life sciences industry
Strong proficiency in Python and PySpark
Proficiency with big data technologies (e.g., Apache Hadoop, Spark, Kafka, BigQuery, etc.)
Hands-on experience with cloud services (e.g., AWS Glue, Azure Data Factory, Google Cloud Dataflow)
Expertise in data modeling, data warehousing, and ETL/ELT concepts
Hands-on experience with database systems (e.g., PostgreSQL, MySQL, NoSQL, etc.)
Hands-on experience in containerization technologies (e.g., Docker, Kubernetes)
Experience working with feature engineering and data preparation for machine learning models
Effective problem-solving and analytical skills, coupled with excellent communication and collaboration abilities
Strong communication and teamwork abilities
Understanding of data security and privacy best practices
Strong mathematical, statistical, and algorithmic skills

Nice to have:

Familiarity with ML Ops concepts, including model deployment and monitoring
Basic understanding of machine learning frameworks such as TensorFlow or PyTorch
Exposure to cloud-based AI/ML services (e.g., AWS SageMaker, Azure ML, Google Vertex AI)
Certification in Cloud platforms, or related areas
Experience with search engine Apache Lucene, Webservice Rest API
Familiarity with Veeva CRM, Reltio, SAP, and/or Palantir Foundry
Knowledge of pharmaceutical industry regulations, such as data privacy laws, is advantageous
Previous experience working with JavaScript and TypeScript

What we offer:

Flexible working format - remote, office-based or flexible
A competitive salary and good compensation package
Personalized career growth
Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
Active tech communities with regular knowledge sharing
Education reimbursement
Memorable anniversary presents
Corporate events and team buildings
Other location-specific benefits

Additional Information:

Job Posted:
January 11, 2026

Work Type:

On-site work

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