Mobile Wave Solutions is seeking a Senior Data Warehouse Engineer to play a key role in designing, building, and optimizing our enterprise data warehouse and data pipelines. You will ensure high-quality, scalable, and secure data infrastructure to support analytics, reporting, and AI initiatives across the organization, which is committed to delivering scalable, high-quality software solutions and empowering businesses globally.

What You'll Do

Design and implement robust data warehouse solutions using modern cloud platforms.
Develop and maintain ETL/ELT pipelines to ingest, transform, and load data from diverse sources.
Collaborate with data analysts, data scientists, and business stakeholders to understand data needs.
Optimize data models for performance, scalability, and usability.
Ensure data quality, integrity, and security across the data lifecycle.
Monitor and troubleshoot data workflows and system performance.
Contribute to data architecture and governance best practices.
Mentor junior engineers and support continuous improvement of engineering standards.

What We're Looking For

Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
5+ years in data engineering or data warehouse development, preferably in a global or enterprise environment.
Expertise in designing and maintaining modern data warehouses (e.g., Snowflake, Azure Synapse, Redshift, BigQuery).
Strong experience with tools like dbt, Talend, Informatica, Azure Data Factory, or Apache Airflow.
Proficiency in dimensional modeling (star/snowflake schemas), normalization, and performance tuning.
Hands-on experience with cloud ecosystems (Azure preferred), including storage, compute, and security services.
Advanced SQL skills and experience with scripting languages such as Python or Scala.
Familiarity with data quality frameworks, lineage tracking, and compliance (e.g., GDPR).
Experience with version control (Git), CI/CD pipelines, and infrastructure-as-code for data workflows.
Ability to monitor data pipelines, troubleshoot issues, and optimize performance.
Strong communication skills and ability to work cross-functionally with analysts, architects, and business stakeholders.

Nice to Have

Certifications such as Azure Data Engineer Associate, Snowflake SnowPro, or equivalent.

Technical Stack

Data Warehouses: Snowflake, Azure Synapse, Redshift, BigQuery
Data Tools: dbt, Talend, Informatica, Azure Data Factory, Apache Airflow
Languages: SQL, Python, Scala
Infrastructure & DevOps: Git, Azure

Team & Environment

You will join an engineering organization of over 120 engineers.

Benefits & Compensation

Remote Office - Option to work remotely / Hybrid.
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.
Holidays - Enjoy an extra 5 days after your 1st and 5th year with us.
Personal Development - Company-sponsored training to further develop your skills.
Employee Referral Programme - Receive a competitive bonus for referring a friend.
Social Events - We love to celebrate our success together.
Family Insurance - Add insurance to a family member.
Multisport Card - Fully covered sports pass.