Data Engineer (GCP, BigQuery)

Accountabilities:
As a Data Engineer, you will develop and maintain cloud-based data solutions that enable advanced reporting, analytics, and AI initiatives. You will contribute to data architecture improvements, ensure data reliability, and collaborate with cross-functional teams to deliver scalable solutions aligned with business needs. Develop BigQuery procedures, functions, and database objects using advanced BigQuery SQL and ANSI SQL expertise. Build and optimize scalable data models within cloud data platforms, with a focus on BigQuery-based architectures. Manage data storage strategies, including partitioning and clustering, to improve performance and reliability. Develop and enhance cloud-based data warehouse solutions using modern data engineering practices. Collaborate with data scientists, software engineers, architects, and business teams to understand requirements and deliver effective solutions. Implement data validation processes, error handling, and quality controls to maintain accurate and reliable datasets. Improve the full data lifecycle, including ingestion, ETL processes, transformation layers, and reporting solutions. Create technical documentation to support architecture discussions, implementation decisions, and team knowledge sharing. Stay current with emerging trends in data engineering, cloud technologies, and big data solutions. Requirements: The ideal candidate has strong experience designing and maintaining cloud-based data solutions, with expertise in SQL, Python, and modern data warehouse technologies. You should be analytical, detail-oriented, and comfortable collaborating across technical and business teams. 3+ years of experience building, modeling, and maintaining data solutions in cloud environments. Strong proficiency in SQL and Python for manipulating, managing, storing, and retrieving data assets. Hands-on experience with Google BigQuery and cloud-based data warehousing solutions. Experience with cloud data platforms such as Google Cloud Platform, Snowflake, Amazon Redshift, Microsoft Azure Synapse Analytics, or Databricks Lakehouse. Knowledge of BigQuery optimization techniques and cloud data service management. Experience with Agile methodologies, preferably Scrum, and tools such as Jira and Confluence. Strong analytical thinking, problem-solving abilities, and attention to detail. Bachelor’s degree in Computer Science, Management Information Systems, Computer Information Systems, or equivalent practical experience. Ability to work collaboratively while taking ownership of technical solutions and continuous improvements. Benefits: Competitive annual compensation range aligned with experience, skills, and responsibilities. Remote work flexibility. Medical, dental, and vision coverage. Paid holiday and vacation time. Health and wellness days. Additional birthday bonus day. Opportunity to work on impactful cloud data and AI initiatives. Supportive culture focused on collaboration, inclusion, learning, and professional growth. Opportunity to work with modern data technologies and contribute to innovative solutions at scale.

How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
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