Senior Data Engineer - Superior Retail Execution

Key Responsibilities

• Assemble large, complex data sets that meet functional and non-functional business requirements.
• Partner with data asset managers, architects, and development leads to ensure technical solutions provide data that is fit for use and aligned with architecture blueprints.
• Contribute to and leverage coding standards and best practices so services and components are efficient and reusable.
• Identify, design, and implement internal process improvements.

Qualifications

• Demonstrated breadth of applied IT skills across at least two IT job profiles.
• Applied Integrated Risk Management, IT Operations, IT Project Management, and Enterprise Architecture skills relevant to the work.
• At least two relevant roles and experience managing or influencing people or organizations to achieve significant IT outcomes.
• Ability to define strategy and lead the delivery and transformation of business outcomes through IT within major sub-OU services, products, or programs.

Job Qualifications

• Bachelor’s degree in Computer Science or a related field.
• Experience in data engineering, data science, machine learning, or a related field.
• Proficiency with data architecture and data-processing tools.
• Proficiency in advanced Python programming, design patterns, and FastAPI.
• Practical, hands-on experience with Apache Spark and Databricks.
• Solid background in building and maintaining CI/CD pipelines, such as GitHub Actions, with cloud environment operations and deployment experience, such as Azure.
• Familiarity with AI and ML concepts and frameworks.

Certifications

• Azure Associate Data Engineer (DP-203)
• Databricks Professional Data Engineer
• Apache Spark Developer Associate
• Professional Data Engineer — Google Cloud Platform (GCP)

We Offer

• Large-scale projects and access to leading IT partners and technologies from day one.
• A wide range of self-development opportunities, including training and certification paths.
• Competitive starting salary and benefits program, including private health care, stock, savings plans, and sport cards.
• Regular salary increases and potential promotions based on results and performance.
• Opportunity to change roles every few years.
• Hybrid work model: work from home two days per week and work in the office to support teamwork and communication.

Full-time employment contract (Umowa o Pracę). Apply only if you agree to these conditions.