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- Tasks: Lead data engineering teams and drive innovative data solutions in a hybrid work environment.
- Company: Join Royal Mail Group, a dynamic global company transforming data and technology for growth.
- Benefits: Enjoy hybrid work flexibility and be part of a diverse and inclusive workplace.
- Why this job: Make an impact by solving complex business problems with cutting-edge data technologies.
- Qualifications: Strong technical skills in data platforms, Python, SQL, and cloud environments are essential.
- Other info: We support adjustments during the application process to ensure inclusivity.
The predicted salary is between 43200 - 72000 £ per year.
Job Description
Head of Data Engineering
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Date: 20 Nov 2024
Location:
London, GB, EC1A 1AA
Company:
Royal Mail Group
Role Title: Head of Data Engineering
Location: London, Farringdon (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.
The Head of Data Engineering will work collaboratively with multi-disciplinary teams to contribute to the development and successful execution of Royal Mail’s strategic priorities with data and analytics.
You will be responsible for driving large scale, high volume, batch, streaming and machine learning applications from design to production on our strategic data platforms. You will be responsible for developing, customising, and managing integration tools, databases, warehouses, and analytical systems to ensure the data platform is a robust and trusted source of data across the organisation.
You will work within agile Product lead delivery programs solving complex business problems using intelligent design and scalable, robust coding solutions. As Head of Data Engineering, you will also drive and mentor data engineering teams to ensure strategic data product outcomes incrementally reduce our data estate’s technical debt.
Key Responsibilities
- Line manage, continuously improve, certify and mentor data engineers
- Build a data engineering roadmap that aligns with the company’s business and data strategy
- Drive simple, standardised and innovative ways to ingest, process, store, analyse various data sources
- Design, implementation and monitoring of our cloud data platform
- Work with the Data Science team to deploy machine learning user cases to production
- Drive automation in the continuous integration pipelines, infrastructure management and configuration
- Drive partnerships with engineering and product teams to deliver on cross-functional value and collaboration
- Deliver automation across our continuous integration pipelines, infrastructure management, testing and configuration
- Lead the design, development, test, optimisation, and deployment of stable data solutions to Google Cloud Platform that are cost-effective
- Liaise daily with Delivery Managers and Product Owners to ensure product developments are kept on track and ensure technical issues are overcome
Desirable Skills
- Strong technical skills, with proficiency in managing data platforms. Proficiency with Data visualisation tools, Python and SQL are advantageous.
- Ability to manage a large and varied workload, to prioritise and multi-task, as well as delegate
- Ability to communicate data-informed opportunities to business stakeholders and non-technical audiences
- Experience of managing enterprise-scale data platform, along with associated products & services
- Influencing investment and leading design on large scale digital products
- Experience of developing on a Cloud environment (Google Cloud) with prior integration of data science and data analytics solutions
- Competence with DevOps, automated testing (TDD and BDD), release management, code control and application cloud deployment
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.
Royal Mail are proud of our diverse employee network groups and the active role they play to support belonging and encourage a positive work environment. We are firmly committed to and passionate about our people representing the communities we serve.
We are happy to support your need for any adjustments during the application and hiring process. Please share the details within your application if required.
For more information on Royal Mail Group and our values please click here:
#LI-POST
#LIMRT
#RMG
#LI-Hybrid
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Head of Data Engineering - Hybrid work flexibility in a dynamic global company (Apply in minutes) employer: ZipRecruiter
Contact Detail:
ZipRecruiter Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Engineering - Hybrid work flexibility in a dynamic global company (Apply in minutes)
✨Tip Number 1
Familiarize yourself with the latest trends in data engineering, especially around cloud platforms like Google Cloud. This knowledge will not only help you in interviews but also demonstrate your commitment to staying updated in a rapidly evolving field.
✨Tip Number 2
Network with professionals in the data engineering space, particularly those who have experience in managing large-scale data platforms. Engaging in conversations can provide insights into the role and may even lead to referrals.
✨Tip Number 3
Prepare to discuss specific examples of how you've driven automation and improved data processes in previous roles. Highlighting your hands-on experience will set you apart from other candidates.
✨Tip Number 4
Showcase your leadership skills by discussing how you've mentored teams or led projects in the past. The role requires strong management capabilities, so demonstrating your ability to guide and inspire others is crucial.
We think you need these skills to ace Head of Data Engineering - Hybrid work flexibility in a dynamic global company (Apply in minutes)
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Head of Data Engineering position. Understand the key responsibilities and desirable skills, and think about how your experience aligns with these requirements.
Tailor Your CV: Customize your CV to highlight relevant experience in data engineering, cloud platforms, and team management. Use specific examples that demonstrate your proficiency in Python, SQL, and managing large-scale data platforms.
Craft a Compelling Cover Letter: Write a cover letter that not only showcases your technical skills but also your ability to lead and mentor teams. Mention your experience with agile methodologies and how you can contribute to Royal Mail's strategic priorities.
Highlight Your Achievements: In both your CV and cover letter, emphasize your past achievements in data engineering projects, particularly those involving cloud environments and automation. Quantify your successes where possible to make a stronger impact.
How to prepare for a job interview at ZipRecruiter
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with data platforms, cloud environments, and tools like Python and SQL. Highlight specific projects where you successfully managed large-scale data solutions.
✨Demonstrate Leadership Skills
As a Head of Data Engineering, you'll need to lead and mentor teams. Share examples of how you've effectively managed teams, improved processes, and driven successful outcomes in previous roles.
✨Communicate Clearly with Non-Technical Stakeholders
Practice explaining complex data concepts in simple terms. Be ready to discuss how you've communicated data-informed opportunities to business stakeholders in the past.
✨Prepare for Agile Methodology Questions
Since the role involves working within agile delivery programs, familiarize yourself with agile principles. Be ready to discuss how you've applied these methodologies in your previous work to solve complex business problems.
