Data Engineer

Quick Facts

Role: Data Engineer

Description

The Data Engineer is responsible for designing, developing, and implementing data and analytics cloud-based analytics platforms (DAP) and pipelines that acquire, cleanse, transform, and publish data from a wide variety of sources.

Key Responsibilities

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

Requirements

• Bachelor’s degree in Computer Science or related field.
• Experience in data engineering, data science, or related field.
• Proficiency with data architecture and data processing tools.
• Certifications: Azure Associate Data Engineer (DP-203), Databricks Professional Data Engineer, Apache Spark Developer Associate, Professional Data Engineer.
• Experience with Power BI, DAX, and Tabular models (TMDL - nice to know).
• Proven track record of designing and implementing ETL/ELT processes in a cloud environment, specifically Azure using Databricks.
• Experience developing big Power BI Tabular models.
• Knowledge of DAX.
• Familiarity with version control systems, particularly Git, and the GitFlow branching model.
• Hands-on experience in implementing Continuous Integration and Continuous Deployment processes for data pipelines and applications.
• Proficiency in Python and PySpark for data processing, transformation, and analysis.
• Demonstrated experience using Databricks for data engineering tasks, including working with Delta Lake and Spark SQL.

Benefits

• Access to self-development possibilities (training and certifications paths).
• Competitive starting salary and benefits program (private health care, P&G stock, saving plans, sport cards).
• Regular salary increases and possible promotions in line with results and performance.
• Opportunity to change role every few years to be in the best place for you.
• Hybrid work model: option to work from home two days a week while spending time in the office to foster teamwork and enhance communication.
• Full-time employment contract (Umowa o Pracę).