Senior Data Engineer (Databricks / AWS)

Mobile Wave Solutions is a professional services company specializing in software development as a service. With a team of over 120 engineers, we deliver scalable, high-quality software that empowers our global clients to innovate and grow. We value collaboration, technical excellence, and a pragmatic approach to solving complex problems.

About the Role

The Senior Data Engineer will design, build, and optimize next-generation Lakehouse data platform. This is a hands-on role focused on transforming complex, legacy datasets into structured, high-quality data products that power analytics and operational workflows. We seek a proactive, independent problem-solver who excels in a fast-paced rebuild environment, maintains code stability (including AI-generated code), and drives rapid iteration.

Key Responsibilities

• Design and implement robust, scalable data ingestion and transformation pipelines using Databricks, PySpark, and distributed processing. Utilize Airflow (or similar) for reliable workflow orchestration.

• Implement Delta Lake principles, focusing on CDC and schema evolution. Establish and integrate data quality frameworks (e.g., Great Expectations) within CI/CD pipelines for data integrity.

• Develop and optimize complex SQL and Python scripts. Integrate diverse data sources (APIs, S3 files, etc.) and handle both structured and unstructured data.

• Support the implementation of data governance and cataloguing solutions (e.g., Unity Catalog). Proactively investigate and improve inconsistent legacy datasets.

• Guide and manage AI agents for code generation, ensuring quality and stability. Work pragmatically and collaboratively to drive technical solutions.

Qualifications

• 5+ years of professional experience in data engineering, focused on cloud and distributed processing environments.

• Strong experience with Databricks, PySpark, distributed processing, and Delta Lake. Deep knowledge of CDC and schema evolution.

• Expert SQL optimization and Python skills. Hands-on experience with Airflow (or similar).

• Familiarity with relevant AWS components. Good understanding of CI/CD for data workflows and implementing data quality frameworks.

• Knowledge of streaming (Kafka/Kinesis) and exposure to Unity Catalog or similar governance tools.

• Proactive problem-solver; comfortable working with complex, inconsistent data without needing explicit specs.

• Able to work independently in a fast-paced rebuild environment.

• Collaborative, pragmatic, thrives on rapid iteration.

• Skilled at directing AI agents to code while maintaining high quality standards.

Our Benefits

• Remote Office – Flexible hybrid form of working

• Parking Space – We provide free parking spots

• Fun Office Space – We offer a game zone and a relaxation area

• Health Insurance – Additional private health insurance, including a dental care plan

• Personal Development – Company-sponsored training budget to further develop your skills

• Employee Referral Program – Receive a bonus for referring a friend

• Holidays – Enjoy an extra 5 days after your 1st and 5th year

• Social Events – We love to celebrate our success together

• Family Insurance – Add insurance to a family member

• Offering sports cards – 100% sponsored by the company