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Data Engineer

Red Engine Team

London

On-site

GBP 40,000 - 80,000

Full time

Yesterday
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Job summary

Join a dynamic team as a Data Engineer, where you will have the opportunity to shape the data and analytics platform for a forward-thinking company. In this role, you will collaborate with senior engineers and stakeholders to create innovative data solutions using cutting-edge technology. With a focus on developing and maintaining data pipelines, you'll play a crucial role in transforming data into actionable insights. This is an exciting opportunity to work in a vibrant environment that values creativity and teamwork, offering competitive pay and a range of perks to enhance your work-life balance.

Benefits

Annual bonus
33 days annual leave
Staff discount in all venues
Private healthcare
Regular team socials
Monthly learning classes
Free access to therapy
Work from home Thursdays

Qualifications

  • Experience in developing ELT/ETL pipelines for data movement.
  • Strong understanding of data modelling in data warehouses.

Responsibilities

  • Develop and maintain data pipelines for analytics.
  • Design data solutions using T-SQL and Python in Azure.

Skills

T-SQL
Python
Azure Data Factory
Databricks
SQL Server
Data Build Tool (DBT)
Agile methodology

Tools

Azure Functions
PowerBi
Terraform

Job description

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Base pay range

About Us

Hello, we are Red Engine, the team behind the award-winning global brands Flight Club and Electric Shuffle. We're obsessed with disrupting the hospitality industry by creating and delivering the best possible experience - across all venues, products and brands.

Our central team covers the full spectrum of skills needed to bring each concept to life – from design to marketing, sales to interior design, people and training, to finance, gaming and HR and everything in between. We’re not just a team of people, we are dreamers, artists, rocket scientists, content curators, forward thinkers and the industry’s finest. We love what we do and are proud to be included in the Sunday Times Best Places to Work 2024

With a total of 18 incredible venues throughout the UK, and a further 13 around the globe, we have ambitious plans and are passionate about developing new and exciting products, which means we’re always growing and looking for passionate people to join the family.

The Job

As a Data Engineer, you will be working in the Red Engine technology team, helping to build out the existing data and analytics platform. This role is placed within a small team, allowing the successful candidate design freedom in implementing bespoke features and enhancements to our data platform using the latest technology. In this role you will assist the senior engineers in meeting with key business stakeholders to gather technical requirements to drive the design and implementation of data solutions within the Data & Analytics platform.

Key Responsibilities Will Include

  • Developing and maintaining data pipelines to orchestrate the ingestion of data from disparate source systems into a centralised data analytics platform
  • Designing and implementing data engineering solutions using T-SQL and Python in the Azure cloud environment
  • Working with Data Analysts in promoting business logic into the analytics platform, to support business reports and dashboards
  • Maintaining and leveraging CI/CD deployment pipelines to promote application code into higher tier environments

To Be Successful In This Role, You’ll Have

  • Demonstrated experience developing ELT/ETL ingestion pipelines to handle data movement and transformation from structured and unstructured data sources.
  • Experience with the Azure cloud platform including:
  • Data Ingestion: Azure Data Factory (ADF), Databricks, Logic Apps, Azure Functions
  • Data storage: ADLS, SQL Server and Unity Catalog (Medallion Architecture)
  • Data Analysis: Databricks notebooks, SQL queries, data visualisations (PowerBi or adjacent tools)
  • Stong understanding of the Databricks platform including managing, developing, and deploying workflows, jobs, and notebooks
  • Proven experience in modelling data in a data warehouse using Inmon or Kimball approaches
  • Experience in database development in SQL Server including developing stored procedures, functions, and views
  • Experience working in an Agile software development framework
  • Experience with Data Build Tool (DBT) including building data models, tests, validation, and transformations
  • Thorough understanding of districted file and table format (i.e., Parquet, Delta, Iceberg, Hudi)
  • Experience as a Data Engineer in your previous role

Preferred

  • Experience with IaC solutions using Terraform, Pulumi or similar tools
  • Experience working with modern CI/CD DevOps frameworks
  • Experience in developing data visualisations using PowerBi, Tableau or similar tools

What You'll Get

  • Competitive pay
  • Annual bonus
  • 33 days annual leave inclusive of Bank Holidays
  • Fusion working (our team are regularly in our venues, working collaboratively in our bright offices in Angel, or focusing on individual projects with work from home Thursdays)
  • Staff discount in all venues (50% off Sunday, Monday, 25% off Tuesday – Saturday, and free game hire)
  • Private healthcare
  • Regular team socials and weekly lunch in venue
  • Monthly learning and development classes, quarterly teambuilding events
  • Summer and Christmas socials
  • Help @ hand 24/7 health support
  • Free access to therapy, nutritionists, and physiotherapists
  • Weekly lunch in venue

Here at Red Engine, we believe our success begins and ends with our people. We are committed to a diverse culture where all our team feel respected and included. We acknowledge the power that a diverse set of beliefs and perspectives can bring, and that a variety of voices strengthens our team, enhances creativity, and drives innovation. We welcome applications from candidates of all identities, including individuals of different races, ethnicities, genders and sexual orientations. If you're passionate about contributing to a culture of inclusion and collaboration, please apply.

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Information Technology
  • Industries
    Hospitality

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