ENGIE are recruiting for a Data Engineer to be based anywhere in the UK. This is a 6 month fixed-term role which involves working full time hours. On offer is a competitive salary and benefits package.

General Overview

This is the chance to become involved at the start of a new data programme within ENGIE UK, using your expertise to help deliver the company’s ambitious data strategy. You will play an instrumental role in enabling world-class data analytics and data science through a new cloud-based data-lake and virtual warehouse.

 Key Responsibilities

• Develop Python (Pandas) or Spark code to process data into different formats in an AWS data lake
• Create highly reusable well-documented data pipelines that bring data into the lake as well as designing flexible structures that the business can use to generate insights to support decision making and drive value.
• Be an expert in the data held by Engie, understanding how data captured in processes makes its way through the data lake and into end-user reporting
• Run workshops with a wide range of business stakeholders to understand their data needs and translate these into designs that will use the core AWS toolset to deliver robust and reliable data

• Demonstrate the art-of-the-possible to a wide-range of business stakeholders – shaping and influencing their thoughts, and the future development of the platform, to best deliver business outcomes

Qualifications 

• Degree in Mathematics, Science, Computing or similar advantageous
• AWS qualification

Knowledge and Skills

• Coding experience in Apache Spark or Python (Pandas) to deliver buiness value is essential

• Able to design, write and iterate code from test to production ready. Understands specific technologies that underpin the work you undertake

• Able to effectively communicate to technical and non-technical stakeholders and peers 

Experience

• Experience in a similar data engineering role i.e. building data pipelines for either a Data Warehouse and/or a Data Lake 
• Direct experience with SQL, data modelling, data warehousing, metadata management and building ETL pipelines
• Experience working with AWS big data technologies (S3, Redshift)
• In depth experience of any of the following AWS services will be a significant advantage: Redshift, Lambda, Glue, Athena, Step Functions, Cloudformation, DMS, EMR, S3
• Experience using Python or Spark to deliver business value
• Experience of Devops and/or scrum preferred