Position Overview & Specifications

Data Engineer Hybrid London

My client is a growing company based in London looking for mid-level to senior Data Engineer

You must be based in UK and have a valid visa to work in UK

As the Data Engineer, you will build the required ETL/ELT pipelines for the collection, preparation and storage of data in a form that is optimised, secure and reliable. You will have a specific focus on developing the data inputs that are utilised by the organisation’s internal forecasting model; designing a framework that scales effectively along with the source data.

Data Engineer Skills

Design data infrastructure to support modelling and data analytics
Build and maintain ETL/ELT pipelines to make data accurate and easy to use
Work to ingest and transform data sets from a variety of data sources
Explore ways to enhance data quality and reliability
Assist with the establishment of a data culture across the organisation
Drive better data governance through the creation and embedding of principles and processes e.g. Logical Data Model & Flow Diagram, Data Dictionary, Data Semantic Layers
Set service level indicators and monitor execution of data workflows and configure alerts
Apply dimensional data modelling concepts and practices to develop conceptual, logical and physical data models to support insight delivery
Identify data quality issues through data profiling, analysis and stakeholder engagement
At least 2 years of designing data infrastructure to support modelling and data analytics
Experience building, modelling, and maintaining data pipelines
Strong experience in SQL optimisation, performance tuning, data modelling and SQL/database design skills.
Hands on experience within the Azure Data ecosystem, with Azure Databricks, Data Factory, Data Lake, and Synapse. Certifications are a plus.

Highly Desirable