At a Glance
- Tasks: Lead data engineering projects and develop innovative data solutions for HM Treasury.
- Company: Join HM Treasury's Data Hub, a centre of excellence for analytics and data management.
- Benefits: Enjoy flexible working hours, generous leave, and a strong pension scheme.
- Other info: Collaborate with a multidisciplinary team and enhance your career in data engineering.
- Why this job: Make a real impact on data-driven decision making in a dynamic environment.
- Qualifications: Expertise in Python, SQL, and cloud systems with strong product management skills.
The predicted salary is between 57670 - 67500 £ per year.
Salary: £57,670 - £67,500
Contract Type: Permanent
Working Pattern: This post is available on a full-time, part-time or job-share basis, and flexible working hours can be accommodated.
Location: London / Darlington
About the Team
The Data Hub is HM Treasury’s central data function and centre of excellence for sophisticated analytics and data management. Led by the Chief Data Officer of the Treasury, we work with partners inside and outside government. The Hub implements the Treasury’s data strategy by developing data capability and driving data-led transformation across the department. We provide strategic coordination and support to teams, using data tools and technologies on new and existing data sources. The Hub applies innovative methods to enable rich analysis and support departmental objectives. We deliver new insights and improve decision making. You will join a multidisciplinary team of data engineers, data scientists, and generalists who collaborate closely, value learning, and share knowledge. The team works on products widely used across the organisation.
About the Job
- Take ownership of sourcing data sets from diverse origins at assorted levels of development. Your duties encompass revealing data from systems, integrating data from multiple systems, and offering streaming services. You will partner with others to strategize and assess these services, ensuring perfect delivery.
- Coordinate data products following HMT’s data strategy. Use your Python and cloud systems expertise. Ensure product reliability and respond quickly to issues.
- Produce data models using experience with a wide range of data engineering tools, where your understanding of industry-recognised data-modelling patterns helps you build, code, and test programs for data infrastructure development. You also set and use agreed standards and tools, as well as developing resilient, scalable, and future-proof services to meet user needs.
- Actively scope and undertake projects, including web app development and data engineering. Your innovative outlook will help you identify and take advantage of opportunities to ensure efficient and effective performance, influencing the data architecture in place. You will explore new ways of conducting business and interpersonal processes.
- Promote guidelines in data engineering, including the acquisition, storage, and sharing of data for modelling and policy development. By providing overall technical leadership within the Hub, you will facilitate development opportunities across HMT in data and data science.
- Support the expansion of the data platform by sharing work, pair programming, and proposing process improvements. As Principal Data Engineer, you will boost efficiency throughout the department by maintaining and advancing data engineering projects in response to user feedback. You will engage with a group of data specialists, aiding HMT through a broad range of projects, and uphold connections with customers both inside and outside HMT.
- You will be maintaining and developing a variety of projects dedicated to data infrastructure. These products are used by a wide variety of HMT staff: improving them will help the department work more efficiently. You'll also work alongside data experts, providing support for a wide portfolio of projects at HMT, and hold relationships with customers within HMT and beyond.
About You:
You will have an extensive background in Python for data engineering and web application development as well as extensive expertise in SQL. You can demonstrate considerable experience with at least one major Cloud provider (Azure preferred, Google Cloud or AWS acceptable) and have also shown success in implementing a product and leading customer relationships, as well as the ability to act on feedback and apply good product management practices.
Some of the Benefits our people love!
- 25 days annual leave (rising to 30 after 5 years), plus 8 public holidays and the King’s birthday (unless you have a legacy arrangement as an existing Civil Servant). Additionally, we operate flexitime systems, allowing employees to take up to an additional 2 days off each month.
- Flexible working patterns (part-time, job-share, condensed hours).
- Generous parental and adoption leave packages.
- Access to a generous Defined Benefit pension scheme with employer contributions of 28.97%.
- Access to a cycle-to-work salary sacrifice scheme and season ticket advances.
- A range of active staff networks, based around interests (e.g. analysts, music society, sports and social club) and diversity.
For more information about the role and how to apply, please follow the apply link. If you need any reasonable adjustments to take part in the selection process, please tell us about this in your online application form, or speak to the recruitment team.
Lead Data Engineer employer: HM TREASURY
HM Treasury is an exceptional employer, offering a dynamic work environment in Darlington where policy advisers can thrive. With a strong emphasis on personal development, flexible working arrangements, and generous benefits including a defined benefit pension scheme and extensive leave options, employees are encouraged to engage in meaningful projects that enhance their expertise and contribute to the UK's financial market innovation.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like HM TREASURY!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Lead Data Engineer at HM TREASURY.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like HM TREASURY.
✨Apply Directly through Our Website
When you find a suitable opening like Lead Data Engineer at HM TREASURY, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Lead Data Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at HM TREASURY, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at HM TREASURY. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at HM TREASURY
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at HM TREASURY!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
