Lead Data Engineer

Poland | Remote

deepsense.ai helps companies gain a competitive advantage by providing customized AI-powered end-to-end solutions, with the main focus on AI software, team augmentation and AI advisory services.

Our technology capabilities include computer vision, predictive analytics and natural language processing. We also deliver machine learning and deep learning training programs to support companies in building in-house AI capabilities.

deepsense.ai is a leading AI solutions provider, dedicated to helping organizations harness the power of artificial intelligence to drive innovation, improve efficiency and deliver tangible business results. We are currently seeking a highly skilled and motivated Data Engineer with a strong background in driving AI solutions into production to join our team.

As a Lead Data Engineer at deepsense.ai, you will play a critical role in the development, implementation, and production deployment of cutting-edge AI-driven solutions for a diverse range of clients. You will work closely with a team of talented engineers and data scientists to design, develop, and deploy advanced AI systems that address real-world challenges, with a focus on scalability and performance.

Responsibilities:

  • design and implement highly scalable, reliable, and performant data architectures that support AI-driven solutions,
  • collaborate with cross-functional teams to identify and translate business requirements into data engineering tasks and workflows,
  • construct and maintain optimal data pipelines for data extraction, transformation, and loading of large data sets from various sources,
  • implement automated processes for data modeling, mining, and production,
  • work closely with AI research teams to prepare data for modeling and ensure the seamless integration of AI models into production systems,
  • ensure the integrity and privacy of data through the implementation of best practices in data management and security,
  • continuously evaluate new technologies and tools to enhance the scalability and efficiency of our data infrastructure,
  • share insights and contribute to internal knowledge dissemination through Tech Talks, presentations, and training sessions.

You must have:

  • at least 4 years of experience in a Data Engineering or similar role, with a proven track record in designing and implementing large scale data solutions,
  • experience in designing scalable, data-intensive software architectures in cloud / on-premise environments,
  • strong proficiency in Python and other languages eg. Scala. Experience with SQL,
  • experience with big data tools (Hadoop, Spark, Kafka, etc.) and data warehousing solutions,
  • experience with containerization and orchestration technologies, such as Docker and Kubernetes,
  • familiarity with cloud services (AWS, Azure, Google Cloud) especially those related to data storage, computing, and processing,
  • solid understanding of data pipeline and workflow management tools,
  • knowledge of best practices and principles in data management, governance, and security,
  • strong analytical skills, with the ability to critically assess and troubleshoot complex data issues,
  • excellent communication skills, capable of effectively articulating technical concepts to both technical and non-technical colleagues.

Bonus Skills:

  • experience with machine learning tools and platforms,
  • experience with Generative AI and Large Language Models (LLMs),
  • familiarity with NoSQL databases and their applications in high volume data scenarios,
  • knowledge of DevOps and MLOps practices, particularly in the context of deploying and managing AI models.

We offer:

  • competitive salary and benefits package,
  • opportunity to work on cutting-edge AI projects with a diverse range of clients and industries, driving solutions from development to production,
  • collaborative and supportive work environment, where you can grow and learn from a team of talented professionals,
  • an opportunity to participate in conferences and workshops,
  • an opportunity to participate in Tech Talks (internal training and seminar sessions),
  • flexible working hours and remote work options.
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Some of our benefits

Medical package
Multisport cards
Flexible working hours
Lunch provided
Onsite English Lessons
Kitchens stocked with fruit and veggies twice a week
Theatre discount
Monthly integration budget
Company library
Funroom
Knowledge sharing via deeptalks project
Holiday celebration

Contact us

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Locations
  • deepsense.ai, Inc.
  • 2100 Geng Road, Suite 210
  • Palo Alto, CA 94303
  • United States of America
  • deepsense.ai Sp. z o.o.
  • al. Jerozolimskie 44
  • 00-024 Warsaw
  • Poland
  • ul. Łęczycka 59
  • 85-737 Bydgoszcz
  • Poland
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