At a Glance
- Tasks: Transform data into valuable insights and develop innovative data pipelines.
- Company: Join a leading firm in Defence & Security with a focus on cutting-edge technology.
- Benefits: Flexible hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Collaborate with diverse teams and enjoy excellent career advancement opportunities.
- Why this job: Make a real impact by solving complex data challenges in a dynamic environment.
- Qualifications: Experience in data engineering 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 in London employer: Hm Revenue & Customs (Hmrc)
As a leading employer in the Defence & Security sector, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel. With flexible hybrid working arrangements across vibrant locations like Bristol, London, and Manchester, we offer exceptional opportunities for professional growth and development, ensuring that our team members can thrive while making a meaningful impact through cutting-edge data engineering 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 in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in data engineering. Building relationships can lead to job opportunities that aren’t even advertised.
✨Show Off Your Skills
Create a portfolio showcasing your projects and achievements in data engineering. Whether it’s a GitHub repo or a personal website, having tangible evidence of your skills can really impress potential employers.
✨Ace the Interview
Prepare for interviews by practising common questions related to data pipelines, ETL processes, and data governance. Don’t forget to have examples ready that demonstrate your problem-solving skills and how you’ve tackled challenges in past roles.
✨Apply Through Us!
Don’t forget to check out our website for the latest job openings. Applying directly through us not only shows your interest but also gives you a better chance of landing that dream role in data engineering!
We think you need these skills to ace Consultant - Manager, Data Engineer, AI & Data, Defence & Security in London
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 technical skills. We want to see how your background aligns with what we're looking for!
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 you can bring innovation to our team. Keep it concise but impactful – we love a good story!
Showcase Your Projects:If you've worked on any cool data projects, make sure to mention them! Whether it's a personal project or something from a previous job, we want to see your hands-on experience and how you tackle challenges in data engineering.
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining the StudySmarter family!
How to prepare for a job interview at Hm Revenue & Customs (Hmrc)
✨Know Your Data Inside Out
Make sure you’re well-versed in the data engineering tools and techniques mentioned in the job description. Brush up on your knowledge of ETL processes, data pipelines, and distributed computing techniques. Being able to discuss specific examples from your past experience will show that you can bridge the gap between technical solutions and client needs.
✨Showcase Your Problem-Solving Skills
Prepare to discuss how you've tackled challenging data engineering problems in the past. Think of innovative approaches you've used and be ready to explain your thought process. This will demonstrate your ability to bring fresh ideas to the table and solve complex issues for clients.
✨Understand Agile Methodologies
Since you'll be working in multi-disciplinary teams using agile methodologies, it’s crucial to understand how these work. Be prepared to talk about your experience with agile practices and how they’ve helped you deliver successful projects. This shows you can adapt to different team dynamics and project requirements.
✨Communicate Clearly and Effectively
Strong communication skills are key in this role. Practice explaining technical concepts in a way that non-technical stakeholders can understand. Prepare to discuss how you've translated business requirements into technical solutions in previous roles, as this will highlight your ability to connect with clients and team members alike.
