Senior Azure Data Engineer Jobs

Lingaro

Location:
Poland

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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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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Senior Azure Data Engineer