Analytical Engineer

Role & responsibilities

• Develop and optimize in technical landscape, i.e. as Databricks, Python

frameworks and DAX.

• Enhance existing self-service models to support operational needs.
• Implement scalable solutions for data processing, reporting, and analytics.
• Work closely with the roadmap owner to execute initiatives according to the

pipeline.

• Ensure data quality, governance, and performance of analytics tools.
• Support project delivery by providing technical input for timelines,

dependencies, and resource planning.

Job Description:

• 5+ years of hands-on experience in Data Analytics, Data Science, or AI-

related IT roles

• Expert coding skills in Python and SQL, with proven track record in large-

scale data wrangling, model development workflows, and automation

• Practical experience designing and deploying machine learning models

into production (supervised/unsupervised, feature engineering, model

evaluation, MLOps).

• Familiarity or basic knowledge of Jobs and Pipelines in Databricks, and

ability to architect scalable and automated workflows.

• Solid understanding of Azure cloud computing, DevOps practices, and

CI/CD pipelines.

• Experience working with version control systems and collaboration tools

(Azure DevOps, Git).

• Strong communication and leadership skills, with ability to mentor junior

developers and present technical solutions to business stakeholders.

• Passion for driving innovation and creating AI-powered data solutions that

go beyond traditional reporting.

• Strong problem-solving and technical design skills.

• Ability to collaborate with business leaders and translate requirements into

solutions.

• Familiarity with Supply Chain data structures and operational reporting

needs.