Senior Data Engineer shaping architecture and building scalable frameworks for Coates Group. Leading data engineering initiatives that turn complex data into trusted, business-ready assets.
Responsibilities
Take ownership of data engineering projects from inception to completion, ensuring the successful delivery of high-quality data solutions that meet business requirements.
Collaborate with Cross-Functional Teams, working closely with data owners, analytics engineers, and stakeholders to understand data requirements and translate them into efficient and scalable data pipelines.
Utilize technical proficiency to design and construct data pipelines that enable seamless data integration from multiple sources into our data warehouse.
Continuously optimize and enhance the data infrastructure to ensure data quality, reliability, and performance, while adhering to best practices.
Promote the use of data-driven decision-making by empowering teams with access to accurate and timely data through well-structured pipelines.
Keep abreast of the latest advancements in data engineering technologies and methodologies, incorporating them into our data engineering practices.
Requirements
Demonstrated experience in data engineering with a track record of delivering successful data solutions.
Expertise in AWS Cloud services, Snowflake, Azure Cloud, Airflow, Airbite, Athena, Glue, DBT, and S3 for data storage, processing, and transformation.
Proficiency in programming languages such as Python for data manipulation and ETL.
Solid knowledge of database technologies – T-SQL, data modelling and data warehouse methodologies
Benefits
annual market competitive bonus program
Thrive Program includes flexible work options
dedicated time for health and wellbeing (virtual Yoga or meditation sessions)
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