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Senior Azure Data Engineer

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Lingaro

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Location:
Poland

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

Seeking a Lead AI DevOps Engineer to oversee design and delivery of advanced AI/ML/GenAI solutions. The role combines cloud engineering and automation with hands-on leadership in deploying and integrating LLM/SLM models into enterprise applications, ensuring security, scalability, and operational excellence.

Job Responsibility:

  • Act as a senior member of the Data Science & AI Competency Center, AI Engineering team, guiding delivery and coordinating workstreams
  • Develop and execute a cloud data strategy aligned with organizational goals
  • Lead data integration efforts, including ETL processes, to ensure seamless data flow
  • Implement security measures and compliance standards in cloud environments
  • Continuously monitor and optimize data solutions for cost-efficiency
  • Establish and enforce data governance and quality standards
  • Leverage Azure services, as well as tools like dbt and Databricks, for efficient data pipelines and analytics solutions
  • Work with cross-functional teams to understand requirements and provide data solutions
  • Maintain comprehensive documentation for data architecture and solutions
  • Mentor junior team members in cloud data architecture best practices
  • Designing and implementing data processing systems on Azure platform
  • Building data pipelines to ingest data from various sources such as storages, databases, APIs, or streaming platforms
  • Support team members with troubleshooting and resolving complex technical issues and challenges
  • Provide technical guidance in data engineering and with team in selecting appropriate tools, technologies, and methodologies
  • Collaborate with stakeholders to understand project requirements, define scope, and create project plans
  • Support project managers to ensure that projects are executed effectively, meeting timelines, and quality standards
  • Act as a trusted advisor for the customer
  • Oversee the design and architecture of data solutions, collaborating with data architects and other stakeholders
  • Ensure data solutions are scalable, efficient, and aligned with business requirements
  • Align coding standards, conduct code reviews to ensure proper code quality level
  • Identify and introduce quality assurance processes for data pipelines and workflows
  • Optimize data processing and storage for performance, efficiency and cost savings
  • Evaluate and implement new technologies to improve data engineering processes on various aspects (CICD, Quality Assurance, Coding standards)
  • Maintain technical documentation of the project, control validity and perform regular reviews of it
  • Ensure compliance with security standards and regulations

Requirements:

  • At least 6 years of professional experience in the Data & Analytics area
  • 1+ years of experience (or acting as) in the Senior Consultant or above role with a strong focus on data solutions build in Azure and Databricks/Synapse/(MS Fabric is nice to have)
  • Proven experience in Azure cloud-based infrastructure, Databricks and one of SQL implementation (e.g., Oracle, T-SQL, MySQL, etc.)
  • Proficiency in programming languages such as SQL, Python, PySpark is essential (R or Scala nice to have)
  • Very good level of communication including ability to convey information clearly and specifically to co-workers and business stakeholders
  • Working experience in the agile methodologies – supporting tools (JIRA, Azure DevOps)
  • Experience in leading and managing a team of data engineers, providing guidance, mentorship, and technical support
  • Knowledge of data management principles and best practices, including data governance, data quality, and data integration
  • Good project management skills, with the ability to prioritize tasks, manage timelines, and deliver high-quality results within designated deadlines
  • Excellent problem-solving and analytical skills, with the ability to identify and resolve complex data engineering issues
  • Knowledge of data security and privacy regulations, and the ability to ensure compliance within data engineering projects
  • Knowledge of data orchestration tools
  • English at least at B2 level, ideally C1

Nice to have:

  • Experience in designing and creating integration and unit tests will be nice to have
  • Experience or familiarity with other cloud technologies, data warehouses, data governance, and business analysis is a plus
What we offer:
  • Stable employment
  • “Office as an option” model
  • Workation
  • Great Place to Work® certified employer
  • Flexibility regarding working hours and your preferred form of contract
  • Comprehensive online onboarding program with a “Buddy” from day 1
  • Cooperation with top-tier engineers and experts
  • Unlimited access to the Udemy learning platform from day 1
  • Certificate training programs
  • Upskilling support
  • Grow as we grow as a company
  • A diverse, inclusive, and values-driven community
  • Autonomy to choose the way you work
  • Create our community together
  • Activities to support your well-being and health
  • Social fund benefits for everyone
  • Plenty of opportunities to donate to charities and support the environment
  • Modern office equipment

Additional Information:

Job Posted:
December 09, 2025

Work Type:
Remote work
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