Cloud Data Engineering Lead

7 hours ago


Coventry, Coventry, United Kingdom Scrumconnect Consulting Full time
As a Cloud Data Engineering Lead at Scrumconnect Consulting, you will play a key role in leading the migration of our existing data warehouse to a cloud-native Databricks Data Lake on Azure. This project will require you to assess the current data warehouse infrastructure and identify migration strategies. You will then design and implement data migration plans, including data extraction, transformation, and loading (ETL) processes. Your goal will be to optimize data pipelines for performance and scalability while ensuring data quality and integrity.

In this role, you will have the opportunity to work with a talented team of data engineers and analysts to design, develop, and implement robust data solutions that power critical decision-making processes within the public sector. You will collaborate with data analysts and business stakeholders to understand data requirements and translate them into technical solutions. Additionally, you will implement data governance policies and procedures to ensure data quality and integrity.

We are looking for an experienced professional who has a strong background in data engineering and experience working in agile teams. You should also have excellent communication and interpersonal skills, as well as the ability to work effectively with multidisciplinary teams. In addition, you will need to have experience working with cloud-based technologies, such as Azure and Databricks, and be proficient in programming languages such as Python and SQL.

The salary for this role is estimated to be around £350-£400 per annum, depending on experience. In addition to a competitive salary, we offer a range of benefits, including 28 days holiday, 1 day birthday leave after 1 year service, 2 additional days after 2 years service, pension, BUPA Health Cover, AIG Life Cover, Rewards Gateway, and on-job training.

If you are a motivated and results-driven professional who is passionate about data engineering, we encourage you to apply for this exciting opportunity.
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