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

For more information about ENGIE, please visit:

http://www.engie.com/en/candidates-area/

For this role, you must have evidence of the right to work in the UK. There is no re-location package with this job role. ENGIE do not discriminate on the grounds of age, gender, race, colour, religion, disability or sexual orientation, and we welcome applications from all sections of the community.