At a Glance
- Tasks: Bridge customer needs with tech solutions by developing data pipelines and enriching information.
- Company: Join a leading firm in Defence & Security, focused on innovation and collaboration.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Work in multi-disciplinary teams across various industries with excellent career advancement potential.
- Why this job: Make a real impact by solving complex data challenges in a dynamic environment.
- Qualifications: Experience in data engineering, ETL processes, and strong problem-solving skills required.
The predicted salary is between 60000 - 80000 £ per year.
Connect to your opportunity: As a practitioner, you bridge the gap between our customers’ needs and technical solutions. Your primary responsibility is to make data valuable for our clients by developing pipelines that ingest, transform, and enrich high‑volume, varied data into accessible, trusted information assets that can be used to derive actionable insights.
Responsibilities
- In your role, you will have responsibility for deliverables and client stakeholder relationships and will be delivering solutions for our clients using agile methodologies.
- You will often be working in multi‑disciplinary teams across a range of industries, subject matters, and locations.
- Apply data engineering tools, integration frameworks, and query engines to create high quality, standardised data for downstream use cases, such as AI and reporting.
- Design and implement high quality data pipelines and data stores, coordinating efforts with other developers and engineers.
- Bring innovation and novel approaches to solve challenging data engineering problems.
- Architect and implement solutions for scale and complexity that provide value across many teams and consumers.
- Develop logical and physical data modelling and governance strategy, establishing standards across teams.
Qualifications
- All applicants must be willing and eligible to apply and obtain UK security clearance to Developed Vetting level, if not holding an existing clearance.
Technical Skills
- Ingesting, transforming, enriching, and integrating data from diverse sources into well‑structured information assets.
- Distributed computing techniques such as parallel processing, streaming, batch workflow orchestration that enable handling large data volumes.
- ETL, data pipelines, and automated workflows for moving and processing data.
- Optimising data systems for performance, scalability, reliability, and monitoring.
- Information security including access controls, encryption, and anonymity for sensitive data assets.
- Data governance, including metadata management, data quality, and lineage tracking.
Business & Professional Experience
- End‑to‑end development experience with data pipelines, ETL processes, workflow orchestration – using core concepts that apply across tech stacks.
- Working with diverse data sources and types – batch, streaming, real‑time, and unstructured.
- Systems thinking and architectural design skills for building scalable, high‑performance data solutions.
- Data modelling, warehouse design, database optimisation knowledge – with samples of logical/physical models that reflect proficiency.
- Deploying and managing distributed data systems.
- Ability to monitor, troubleshoot, and tune these systems for reliability and performance.
- Coding experience that demonstrates modularity, reusability, and efficiency across languages.
- Understanding of full development lifecycle, SDLC concepts, version control, CI/CD pipelines.
- Knowledge of data security, governance, metadata management, master data principles.
- Communication skills, ability to understand business requirements and translate to technical data solutions.
Location & Working Arrangement
You’ll be based in Bristol, London, or Manchester with hybrid working. The role offers flexibility to work in your local office, virtual collaboration spaces, client sites, and remotely, depending on the requirements of the role.
Consultant - Manager, Data Engineer, AI & Data, Defence & Security employer: Hm Revenue & Customs (Hmrc)
As a leading employer in the data engineering sector, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to thrive. With opportunities for professional growth and development, particularly in the dynamic cities of Bristol, London, and Manchester, we offer a flexible hybrid working arrangement that supports work-life balance while engaging in meaningful projects across various industries. Join us to be part of a team that values creativity and excellence in delivering impactful data solutions.
Contact Details:
Hm Revenue & Customs (Hmrc) Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Consultant - Manager, Data Engineer, AI & Data, Defence & Security
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving ETL processes and data pipelines. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss how you've tackled complex data problems and how you can bring value to their team.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Consultant - Manager, Data Engineer, AI & Data, Defence & Security
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the job description. Highlight your experience with data pipelines, ETL processes, and any relevant projects that showcase your skills in data engineering. We want to see how you can bridge the gap between customer needs and technical solutions!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how your background aligns with our mission at StudySmarter. Don’t forget to mention your experience with agile methodologies and multi-disciplinary teams.
Showcase Your Technical Skills:In your application, be sure to highlight your technical skills, especially those related to distributed computing, data governance, and security. We love seeing examples of how you've optimised data systems or developed innovative solutions to complex problems.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy to do!
How to prepare for a job interview at Hm Revenue & Customs (Hmrc)
✨Know Your Data Engineering Tools
Familiarise yourself with the specific data engineering tools and frameworks mentioned in the job description. Be ready to discuss how you've used these tools in past projects, especially in relation to ETL processes and data pipelines.
✨Showcase Your Problem-Solving Skills
Prepare examples of challenging data engineering problems you've solved. Highlight your innovative approaches and how you applied systems thinking to design scalable solutions that provided value across teams.
✨Understand Agile Methodologies
Since the role involves delivering solutions using agile methodologies, brush up on your understanding of agile principles. Be prepared to discuss how you've worked in multi-disciplinary teams and adapted to changing requirements.
✨Communicate Clearly and Effectively
Practice articulating complex technical concepts in a way that's easy to understand. This is crucial for translating business requirements into technical solutions, so think about how you can demonstrate your communication skills during the interview.
