Senior Data Engineer
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
