Data Engineer
hace 1 semana
GP Bullhound has been forming the European tech scene for 20 years, having worked with success stories such as Spotify, Avito, Klarna, Slack, and Revolut, and is now helping the technology leaders to build the future.
**Duties and responsibilities
- Lead the design of data solutions with quality, automation, and performance in mind
- Own the data pipelines feeding into the Data Platform ensuring they are reliable and scalable
- Ensure data is available in a fit-for-purpose
- Responsible for the data modelling that feeds the Data Platform
- Maintain and optimise data pipelines to improve performance and quality, minimising impacts on business
- Effectively communicate plans and progress to both technical and non-technical stakeholders
- Develop and implement the Data roadmap for strategic data sets
- Provide regular and accurate reports of progress to the Project lead where required.
- Strong focus on Serverless architecture and full separation of compute and store.
**Requirements and qualifications
- Experience of building automated data quality checks and metrics
- Experience creating and/ or maintaining production software delivery pipelines using common CI/ CD tools (GitHub Actions, Azure DevOps, Jenkins, CircleCI etc.)
- Experience productionising machine learning algorithms
- Experience with Infrastructure as Code (Lakeformation, CloudFormation)
- Experience with data reporting and visualisation tools (Power BI, Tableau, Quicksight, Qlik etc.)
- Strong experience in leading AWS cloud data platform transformation
- Strong experience implementing end-to-end data pipeline on AWS with deep knowledge of data engineering techniques across data preparation, ETL, & loading, normalisation, aggregation, warehousing, data lakes and data governance
- Strong Experience with Redshift, Athena, S3, Lambda
- Strong experience developing Data Warehouses
- Practical experience in data architecture and data modelling and phyton
- Experience managing the costs of data pipelines
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