Data Engineer

Optomi, in partnership with a leading entertainment industry client, is looking for a Data Engineer to join the team. As a Data Engineer, you will play a crucial role in building and maintaining data solutions that empower analytics, reporting, and business decision-making across the organization. You will collaborate with data engineers, architects, product managers, and data consumers to develop reliable data pipelines and support data modeling efforts. This position offers the chance to expand your technical expertise with modern cloud data technologies in a collaborative environment.What the right candidate will enjoy:Working in a collaborative environment with cross-functional teams.Opportunities to grow technical expertise with modern cloud data technologies.What type of experience does the right candidate have:2–5 years of experience developing and supporting data pipelines.Understanding of data modeling concepts, including dimensional modeling and data normalization principles.Proficiency in at least one programming language.What the responsibilities are of the right candidate:Develop and maintain data platform pipelines and data integration processes.Support the implementation of conceptual, logical, and physical data models.Build and maintain data transformations using dbt and contribute to scalable, reliable data solutions.Collaborate with data engineers, data scientists, analysts, and cross-functional teams to deliver data products.Apply data engineering concepts and technologies, including AWS services (S3, Lambda, SNS, SQS), Iceberg, Snowflake, dbt, and Airflow.Participate in Agile/Scrum ceremonies and contribute to team planning and continuous improvement efforts.Work with product managers, architects, and engineers to support the Core Data Platform roadmap.Follow established standards and best practices for data pipelines, naming conventions, and platform development.Monitor and support the quality, reliability, and operational health of data platform datasets and pipelines.Contribute to documentation of data assets, processes, and platform standards.Partner with stakeholders to understand business requirements and support delivery of data solutions.Maintain documentation to support data quality, governance, and operational requirements.