Senior Data Engineer

Description

Novarto is solution-oriented tech agency for customer engagement and commerce, treating our clients with honesty and top-quality services since 2008.

We are a preferred Gold partner of SAP, with the team involved in some of the most challenging omnichannel commerce projects. At the same time, we leverage our expertise to develop innovative products in business applications, sales, and customer service.

Our mission is unlocking our client’s full potential through:

• Real IT solutions for real business needs
• Constant and flexible innovation
• Open and honest communication
• Highest quality standards

The Novarto team has been making the company successful for more than a decade. We are adaptable, creative, and innovation-inspired professionals who share common interests in addition to a friendly work environment. Here you will have the opportunity to work on challenging projects for internationally recognized companies with leadership positions in various industries.

If you want to develop your full potential and professional experience in a dynamic company where your ideas and contributions will be valued, join us as Senior Data Engineer (Data Architecture / Data Pipelines / LLMs)

Your main role will be:

We are looking for a highly skilled Senior Data Engineer with a strong focus on Data Architecture, Data Pipelines, and Large Language Models (LLMs). The ideal candidate will have extensive experience in handling large-scale data systems in the cloud, optimizing database performance, and integrating advanced machine learning models into backend systems. As a Senior Data Engineer, you will play a crucial role in designing, developing, and maintaining complex data pipelines and data architectures that power our innovative solutions.

Key Responsibilities:

• Data Engineering: Design, develop, and manage robust data pipelines and ETL processes to handle large volumes of structured and unstructured data.
• Data Architecture: Design and implement scalable, maintainable backend architectures that support the company’s data-driven initiatives.
• Database Management: Optimize and maintain high-performance database solutions, ensuring data integrity and security.
• LLM Integration: Integrate Large Language Models (LLMs) and other machine learning models into backend systems to enhance data processing and analysis capabilities.
• Performance Optimization: Identify and resolve performance bottlenecks in data processing and storage systems.
• Collaboration: Work closely with data scientists, machine learning engineers, and other cross-functional teams to translate business requirements into technical solutions.
• Mentorship: Provide technical guidance and mentorship to junior developers and data engineers.
• Code Quality: Write clean, efficient, and well-documented code following best practices and industry standards.
• Documentation: Create and maintain detailed documentation of data models, architectures, and processes.

Qualifications & Experience:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
• Minimum of 5-7 years of professional experience in backend development, focus on data engineering and databases.
• Proven experience in working with large-scale data systems and integrating machine learning models, particularly LLMs.
• Strong proficiency in at least one backend development language (e.g., Java, Python, or C++).
• Extensive experience with modern database technologies (e.g., PostgreSQL, Amazon Aurora, S3, DynamoDB).
• Experience with vector databases (e.g., PGVector, Pinecone, Chroma).
• In-depth knowledge of data processing frameworks and tools (e.g., Apache Spark, Apache Kafka, ETL tools).
• Experience with cloud platforms (e.g., AWS, GCP, or Azure) and LLM infrastructure (e.g., Amazon Bedrock, HuggingFace).
• Proficiency with machine learning frameworks (e.g., TensorFlow, PyTorch, Amazon SageMaker).
• Experience with natural language processing (NLP) techniques is highly desirable.

Soft Skills:

• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities.
• Ability to work independently and manage multiple priorities.
• Hands-on mentality and the motivation to get things done.

Why Join Us:

• Individual budget for trainings and conferences.
• Team buildings, parties and other social events.
• Medical Care insurance.
• Multisport cards.
• Friendly working environment and modern office.
• 25 days paid leave.
• Flexible start and end of working day and possibility for remote working.

Interested? Send us your CV in English.

All applications will be treated strictly confidential. Only short-listed candidates will be contacted.