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Machine Learning jobs in Grã-Bretanha

Data Platform Engineer

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GBP 40 000 - 60 000
Há 30+ dias
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Data Platform Engineer
easyJet
Luton
Híbrido
GBP 40.000 - 60.000
Tempo integral
Há 30+ dias

Resumo da oferta

A budget airline is seeking a Data Platform Engineer in Luton/Hybrid to support their data strategy. This role involves building frameworks for data engineers and analysts to innovate and deliver value. Candidates should possess strong technical skills in Python, Apache Spark, and cloud infrastructure, along with a passion for data. Benefits include a competitive salary, bonus, and flexible working arrangements.

Serviços

Competitive base salary
Up to 20% bonus
25 days holiday
7% pension
Life Insurance
Flexible benefits package
Excellent staff travel benefits

Qualificações

  • High level of current technical competence in relevant technologies.
  • Ability to communicate effectively with technical and non-technical audiences.
  • Enjoy being hands-on and learning about new technologies.

Responsabilidades

  • Support the business in harnessing the power of data.
  • Work in an agile scrum environment.
  • Build and maintain deployment frameworks.
  • Improve processes and core code bases.

Conhecimentos

Technical Ability
Clear communication
Complex problem-solving ability
Passionate about data

Ferramentas

Python
Apache Spark
SQL
AWS
Docker
Terraform
Descrição da oferta de emprego
Overview

Data Platform Engineer — Luton/Hybrid

Company

Job Purpose

With a big investment into Databricks and a large amount of interesting data this is the chance for you to come and be part of an exciting transformation in the way we store, analyse and use data in a fast paced organisation.

You will join as a Data Platform Engineer joining a team of committed data specialists. As our data strategy begins to take shape, we aim to become the most data driven airline in the world. To achieve this goal, we want to use our data to improve all our business processes and that means allowing our teams to experiment and innovate as they deem fit. Within data platform engineering, this translates to building the frameworks and tooling data engineers, analysts and scientists utilise, enabling platform users to focus on value delivery.

Job Accountabilities
  • Support the business in harnessing the power of data within easyJet.
  • Work in a fast-paced agile scrum environment with a “release within sprint mentality”.
  • Responsible for building and maintaining deployment frameworks.
  • Build best practice and constantly improve processes and core code bases.
  • Work in partnership with Data Engineers to conform to/define patterns and standards.
  • Work with Business Analysts to deliver against requirements and realise business benefits.
  • Work with a mixed team of onshore and offshore resource to work with consistent standards and frameworks.
Key Skills Required
  • Technical Ability: has a high level of current, technical competence in relevant technologies, and be able to independently learn new technologies and techniques as our stack changes.
  • The role requires close coordination to design and implement data pipelines that support machine learning models, analytical dashboards, and experimental frameworks.
  • Clear communication; can communicate effectively in both written and verbal forms with technical and non-technical audiences alike.
  • Complex problem-solving ability; structured, organised, process-driven and outcome-oriented. Able to use historical experiences to help with future innovations.
  • Passionate about data; enjoy being hands-on and learning about new technologies, particularly in the data field.
Technical Skills Required
  • Hands-on software development experience with Python and experience with modern software development and release engineering practices (e.g. TDD, CI/CD).
  • Experience with Apache Spark or any other distributed data programming frameworks.
  • Comfortable writing efficient SQL and debugging on cloud warehouses like Databricks SQL or Snowflake.
  • Experience with cloud infrastructure like AWS or Azure.
  • Experience with Linux and containerisation (e.g Docker, shell scripting).
  • Understanding Data modelling and Data Cataloguing principles.
  • Understanding of Data Management principles (security and data privacy) and how they can be applied to Data Engineering processes/solutions (e.g. access management, data privacy, handling of sensitive data (e.g. GDPR).
  • Experience with CI/CD tools, in particular GitHub actions.
  • Hands-on IaC development experience with Terraform or CloudFormation.
Desirable Skills
  • Hands-on development experience in an airline, e-commerce or retail industry
  • Experience in event-driven architecture, ingesting data in real time in a commercial production environment with Spark Streaming, Kafka, DLT or Beam.
  • Experience implementing end-to-end monitoring, quality checks, lineage tracking and automated alerts to ensure reliable and trustworthy data across the platform.
  • Experience of building a data transformation framework with dbt.
  • Familiarity with Databricks as a data and AI platform or the Lakehouse Architecture.
What you’ll get in return
  • Competitive base salary
  • Up to 20% bonus
  • 25 days holiday
  • BAYE, SAYE & Performance share schemes
  • 7% pension
  • Life Insurance
  • Work Away Scheme
  • Flexible benefits package
  • Excellent staff travel benefits
About easyJet

At easyJet our aim is to make low-cost travel easy – connecting people to what they value using Europe’s best airline network, great value fares, and friendly service.

It takes a real team effort to carry over 90 million passengers a year across 35 countries. Whether you’re working as part of our front-line operations or in our corporate functions, you’ll find people that are positive, inclusive, ready to take on a challenge, and that have your back. We call that our ‘Orange Spirit’, and we hope you’ll share that too.

Apply

Complete your application on our careers site.

We encourage individuality, empower our people to seize the initiative, and never stop learning. We see people first and foremost for their performance and potential and we are committed to building a diverse and inclusive organisation that supports the needs of all. As such we will make reasonable adjustments at interview through to employment for our candidates.

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* O salário de referência é obtido com base em objetivos de salário para líderes de mercado de cada segmento de setor. Serve como orientação para ajudar os utilizadores Premium na avaliação de ofertas de emprego e na negociação de salários. O salário de referência não é indicado diretamente pela empresa e pode ser significativamente superior ou inferior.

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