Data Engineer
WeShape — United Kingdom, GB
- Published on
About the Role
WeShape is seeking a skilled Data Engineer to enhance our business identity platform. You will play a vital role in building robust data pipelines, ensuring data quality, and supporting a cloud-native data environment.
Responsibilities
- Design, build, and maintain scalable data pipelines and ETL/ELT workflows.
- Work with Snowflake, SQL, and Python to transform and manage large datasets.
- Utilize AWS services (e.g., S3, Lambda, Glue) to develop modern, cloud-based data solutions.
- Collaborate with cross-functional teams to enhance data accessibility and quality.
- Monitor and troubleshoot data workflows to maintain performance and integrity.
About the Candidate
- You bring strong hands-on experience with Snowflake, SQL, and Python.
- You have solid knowledge of AWS cloud services relevant to data engineering.
- You possess experience in building and optimizing data pipelines and workflow orchestration.
- You have a keen eye for data accuracy, performance, and scalability.
- Familiarity with tools like Airflow, dbt, or similar is a bonus.
About WeShape
WeShape is a fast-growing technology company located in the United Kingdom that is building a cutting-edge business identity platform for banks, fintechs, and enterprises.
Company Culture and Benefits
We foster a culture of innovation and collaboration, promoting a remote work model to support flexibility and work-life balance.