Data Engineer
London, GB, S49 1PF
Royal Mail Group
Title - Data Engineer
Location - London, EC1A 1AA (Hybrid)
Royal Mail delivers more than our competitors put together. Yet we have ambitious plans to grow market share both at home and globally, whilst transforming our UK operation to increase efficiency and profit. Our strategy clearly sets out these plans – data and technology is pivotal to its success.
This Data Engineer position will play a pivotal role in driving Royal Mail's data strategy, collaborating closely with our Data Analytics and Data Science teams.
As a Data Engineer you will;
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Drive simple, standardised and innovative ways to ingest, process, store, analyse various data sources
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Design, implementation and monitoring of our cloud data platform (GCP)
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Work with the Data Science team to deploy machine learning user cases to production
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Drive automation in the continuous integration pipelines, infrastructure management and configuration
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Drive partnerships with engineering and product/business teams to deliver on cross-functional value and collaboration
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Contribute to resource allocation, prioritisation, and delivery of data products, while collaborating with senior engineers and stakeholders.
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Own the technical lifecycle of data products, from design through delivery and support, ensuring alignment with customer outcomes and agile practices.
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Design and optimise scalable, cost-effective data solutions on GCP
Key Skills & Experience;
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Experience in data engineering, delivering measurable value to organisations.
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Proficient in scripting languages (Python, Scala), with a plus in Big Data technologies (Spark, Kafka) and real-time data ingestion.
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Hands-on experience with Google Cloud tools (BigQuery, Dataflow, PubSub) or equivalent AWS/Azure tools.
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Good understanding of SQL, databases, ETL/ELT processes, data governance, and data visualization.
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Familiar with tools like JIRA, Confluence, CI/CD (Jenkins, Kubernetes), and testing methodologies (TDD/BDD).
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Experience with multi-cloud distributed applications, particularly on Google Cloud Platform and Azure.
What we offer you;
- Competitive Salary
- 18% Bonus
- Competitive Pension Scheme
- Car allowance (or cash alternative)
- Hybrid Working (generally 3 days in office)
- Private Healthcare
- 25 days holiday (plus the option to buy more)
- Plus, many more benefits!
Interview process and next steps…
We aim to move as quickly as possible! If your application is successful, you will be contacted by one of our recruitment team who will discuss the two-stage interview process with you.
#LI-POST
#LIMRT
#RMG
#LI-Hybrid
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile AWS Azure Big Data BigQuery CI/CD Confluence Data Analytics Dataflow Data governance Data strategy Data visualization ELT Engineering ETL GCP Google Cloud Jenkins Jira Kafka Kubernetes Machine Learning Pipelines Python Scala Spark SQL TDD Testing
Perks/benefits: Career development Competitive pay
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