Are you a Senior Data Engineer/Analytics Developer/Senior ETL Developer/Senior Analytics Engineer/Lead Data Engineer/Senior Data Analytics Engineer/Principal Data Developer/Senior Big Data Engineer/Senior Data Platform Engineer, looking for a long term role in London.

SKILLS:

Data warehousing/Databricks/ETL/Agile/BI products.

Start date mid July - 12 months

2 days onsite - Hybrid working in London

You will be experienced in Data and Analytics solution design and implementation using Agile and equivalent methodologies; working as part of a development team whose responsibility is to deliver complex data and BI products.

Detailed knowledge of ETL, data warehousing, Datamodelling and experience dealing with big data is expected.

Along with good knowledge of data schema structures, design and how they can be correctly applied to deliver robust solutions that meet specifications.

Knowledge of emerging data technologies as well as database design, AI concepts and data migrations are required.

Key Knowledge/Skills

Detailed working knowledge of ETL/ELT, data warehousing/business intelligence methodologies and best practice including dealing with big data, cloud technology and unstructured data and the relative required approaches

Knowledge of star schema structure design, detailed understanding of Kimball Inmon and hybrid data warehouse design

Detailed knowledge using cloud data products like Data Factory, Event Hubs, Data Lake, Synapse, Azure SQL server.

 Detailed knowledge in developing in Databricks and experience in coding with PySpark. Spark SQL

ETL coding standards: ensuring that code is standardised, self-documenting and can be reliably tested

Knowledge of best practice data encryption techniques and standards

Knowledge of relevant national and international legislation pertaining to the Government/Public Sector IT eg Data Protection Act, EU Procurement Directives and Freedom of Information Act, including knowledge of basic confidentiality and data protection requirements that apply to the processing of customer information

Knowledge and interest in the latest and emerging technologies likely to be employed in designing and delivering Enterprise Wide quality solutions in the chosen platform

Understanding and experience of tooling and technology that support all aspects of the Data and Analytics development life cycle in an agile scrum environment

Experience in design and development of complex data and analytics solutions in an iterative manner for large enterprise business/data warehouse implementations

Experience in delivery of data and analytics solutions/applications to automate business processes and to meet user function and quality