Job ID 270515
Data Engineer (x2)
London, E14 (2 days per week in the office)
£55,000 – £65,000 plus benefits including flexible / remote working (flexible working – a 9-day fortnight), enhanced company pension, rising holiday, paid volunteering days, employee assistance programmes, study leave, employee recognition schemes and lots more!
My client is an operationally independent, not-for-profit, private company who are dedicated to ensuring the UK has a reliable, low cost and clean energy system.
They are looking for 2x Data Engineers to join their team on a permanent basis. This role would suit candidates with experience of designing data infrastructure to support modelling and data analytics.
Data Engineer – More Info and Duties:
As the Data Engineer, you will own the internal data ecosystems and will work with developers, solution architects, technical BAs, data scientists, and other SMEs to define the optimum data architecture for the business. 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 of the GB power markets; designing a framework that scales effectively along with the source data.
Data Engineer Duties:
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
Data Engineer – Skills and Experience Required:
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
In addition, competence in Python or Scala, ideally PySpark experience is preferred
My client offers the chance to work in an environment which contributes to and supports work that makes life better for millions. They also offer a strong benefits package which includes flexible and remote working options (2 days in the office per week and a 9-day fortnight), and enhanced company pension, rising holiday, paid volunteering days, employee assistance programmes, study leave, employee recognition schemes and lots more!
Sounds interesting and something you would love to be part of? Apply today!
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