Lead Data Engineer - Manchester, United Kingdom - Jefferson Frank
Description
Senior/ Lead Data Engineer
Jefferson Frank are supporting a market leading retail organisation, based in Manchester, who are looking for a
Lead Data Engineer to join a Data Engineering team.
Are you looking to shape a new team, work with the latest technologies in data, and solve complex problems? They are looking for a Data Engineering Lead to help bring data to the heart of the business.
You will be part of Group Data and will focus on exploring solutions to maintain, improve, and scaling data.
The main project for this role will be to build a state of the art payment platform which will be used internally but also but used as a sales platform for other business's.
Experience needed:
- A strong communicator, able to bring complex technical concepts to life for business stakeholders and equally convey business needs effectively to technical audiences.
- Experience delivering largescale transformation projects with focus on defining endtoend data architecture.
- An experienced data engineer with a deep interest in how data architectures can improve experiences and drive better business decision making.
Skill set:
- Experience of Python
- Experience of SQL
- Experience of Cloud (AWS, Azure, GCP)
- Understanding of Agile in principles and practices and tools like Jira and Confluence.
- Experience with Google Cloud products (BigQuery, GCS, Cloud Composer, Dataflow etc.) or similar products from other cloud platforms
- Experience with opensource datastack tools such as Airflow, Airbyte, DBT, Kafka etc.
- Experience with data visualisation tools such as PowerBI, Tableau and/or Looker
- Knowledge of Teradata, Mainframe and/or Google Analytics is preferable
- Appreciation of data management, analytics, science, and visualisation workflows and data needs
- Appreciation of the modern cloud data stack, headless BI, analytics engineering, data meshes and lakehouses
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