Data Engineer (12 month FTC)

London, England, United Kingdom

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So Energy

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So Energy was created in 2015 because we knew energy suppliers could be better. Since then, we’re grown rapidly but sustainably, with 300,000+ customers and over 300 So Energists. But, we’re not done. We’re on the road to a million customers by the end of 2026 and, thanks to our recent merger with ESB Energy, we’re well on the way. We’re tech first, we’re customer-centric and we’re passionate about sustainability.

We want to do the best we can by our customers and by each other, so we’ve created a workplace that is encouraging, supportive and offers the opportunity for growth. As a company, we live by six core values that guide everything we do.

  • Clear
  • Honest
  • Ambitious
  • Inquisitive
  • Caring
  • Sustainable

 

We are looking for someone who enjoys building data pipelines and the engineering that goes along with them. We are looking for someone with experience in data engineering, keen to work with many different sources and leveraging modern cloud-based tools.

We are building a data analytics platform in GCP (Google Cloud Platform) that will accelerate So Energy’s disruption of the energy sector.

Our users are both internal and external are extremely important to us. Understanding how their experience is throughout the various touch points is very important. The business is hungry for more data and this role will be intrinsic to enabling the ambition of being a data driven organisation with reliable, trusted, and useful insights.

Requirements

  • As a Data Engineer at So Energy, you will be responsible for building the ETL data pipelines
  • Technical ownership, develop and support the Data Pipelines and related engineering practices within GCP
  • We are looking for any cloud experience
  • Proven, hands-on experience in Data Engineering
  • Capable of building real-time and batch data pipelines to match the evolving needs of the business
  • Provide technical support to other teams within the organisation as required
  • Code elegant strategic solutions that are reusable and maintainable
  • Be a team player, contributing to discussions and bouncing ideas
  • Curious about the data itself and identify edge cases for suitable processing and testing
  • commercial experience using SQL & Python
  • An innovator who is not afraid to put forward ideas for improving team process or suggest new features to the team

 

What You will be doing:

  • Build, test and deploy Data pipelines on Google Cloud Platform
  • Implement pipelines using Google’s Dataflow, GCS, cloud functions, BigQuery, Dataproc, Apache Beam (Python), Composer (airflow)
  • De-duplicate, transform and conform as appropriate from source to target structures
  • Build and support both batch and real-time pipelines
  • Implement solutions to improve our observability, findability, data privacy and other data governance and architectural concerns
  • Provision data for analytics, data science and machine learning purposes
  • Detailed physical design of data storage solutions
  • Logical and physical data modelling
  • Implement data transformation rules for batch and data streaming in SQL and Python
  • Implement CI / CD from github to GCP
  • Implement API calls inbound and outbound
  • Write quality technical documentation
  • Contribute as part of an agile team
  • Communicate status, blockers, and progress clearly
  • Translate requirements to technical solutions
  • Translate technical solutions or concepts to non-technical people

Benefits

What's in it for you?

  • Competitive salary
  • Hybrid remote working
  • Life Assurance 4x Base Salary
  • Bonus Up to 10% of Base Salary
  • 25 days holiday, plus bank holidays, and an extra day holiday for your birthday
  • Perkbox
  • Ongoing support and development as well as a generous learning and development budget
  • Free daily breakfast
  • Great reward and recognition
  • Exposure to all parts of a growing business
  • Pension matching as part of auto-enrolment pension scheme

 

So Energy care about helping the energy industry become a much more diverse and inclusive environment and we work hard to lead by example. We are committed to Equal Employment Opportunity and building an inclusive environment for all.

If you are interested in finding out more please apply making sure to complete all the questions to the best of your ability and attached an up to date version of your CV.

 

Good luck!

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Agile Airflow APIs BigQuery Data Analytics Dataflow Data governance Data pipelines Dataproc Engineering ETL GCP GitHub Google Cloud Machine Learning Pipelines Privacy Python SQL Streaming Testing

Perks/benefits: Career development Competitive pay Salary bonus

Region: Europe
Country: United Kingdom
Job stats:  8  1  0
Category: Engineering Jobs

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