We are looking for individuals with the following qualifications:
1. Experience in writing well-tested object-oriented Python.
2. Proficiency in using CI/CD tooling to analyze, build, test, and deploy code.
3. Strong cloud experience, particularly with AWS or Azure (GCP also considered).
4. SQL skills with the ability to write complex queries and implement ETL processes.
5. Familiarity with Databricks (we are open to considering experience with Data Factory, Synapse, Snowflake, or DBT).
As a Data Engineer, you will:
1. Collaborate with a team of expert technologists to deliver exciting data projects.
2. Build, optimize, and maintain data applications, systems, and services.
3. Help clients deploy data pipelines and processes in a production-safe manner.
4. Work in a fast-moving, agile environment within multi-disciplinary teams.
5. Deliver modern data platforms using the latest technologies and a DataOps culture.
6. Get involved in a variety of cloud projects (AWS, Azure, GCP) and utilize data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, and Cloud Data Fusion.
Description
Join us at an award-winning organization that is experiencing significant growth in its data function. We are seeking a large number of Data Engineers across all levels, from mid to senior and lead positions. You will be based out of our Sheffield office with a flexible hybrid working model, allowing you to be onsite as needed, whether that’s 1-2 times a week, once a fortnight, or even 1-2 times a month, depending on the nature of the engagement and client requirements. This is an urgent requirement, and we will be conducting interviews in the New Year, so we encourage you to apply immediately to be considered. Embrace your drive to learn in an environment that values expertise and innovation in data and analytics technologies.
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