Data Engineer, Ai in England

Data Engineer, Ai in England

England Temporary 48000 - 84000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Create and optimise data pipelines to transform raw data into valuable insights.
  • Company: Join a leading tech firm focused on Defence Security with a collaborative culture.
  • Benefits: Competitive pay, hybrid working, and opportunities for professional growth.
  • Why this job: Make a real impact in Defence Security while working with cutting-edge data technologies.
  • Qualifications: Must have DV clearance and experience in data engineering and pipeline development.
  • Other info: Dynamic projects across various industries with excellent career advancement potential.

The predicted salary is between 48000 - 84000 £ per year.

Contract Job Title: Data Engineer, AI Data, Defence Security (DV clearance required)

Contract Start Date: March ****

Contract Length: 12 months, with potential extension

Contract Classification: Inside IR25

Contract Location: London, Bristol or Manchester with hybrid working (2/3 days in the office)

Mandatory requirement: Must have DV Clearance

Role Overview: We are proud of the impact we have with our Defence Security clients, the strength of our relationships, and the variety of our skills and expertise that we bring to help them achieve their mission. We're growing our teams across all of Technology and Transformation. If you are cleared DV level, we are very keen to hear from you. As a practitioner, you are responsible for bridging 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 and variety data into accessible, trusted information assets that can be used to derive actionable insights.

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. Our projects vary greatly and your responsibility as a consultant will differ based on the focus of the client engagement and your skillset, but could include and may require you to:

  • Apply data engineering tools, integration frameworks, and query engines to create high quality, standardised data for downstream use cases, such as for 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 for scale and complexity that provide value across many teams and consumers.
  • Develop logical and physical data modeling and governance strategy, establishing standards across teams.

Required Skills Experience: Candidates will have hands on experience with one or more technologies relevant to these areas:

  • All applicants must hold UK security clearance to Developed Vetting level
  • Distributed computing techniques like 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, anonymity for sensitive data assets.
  • Data governance, including metadata management, data quality, and lineage tracking.

We are specifically looking for candidates with both technical and business focused skills, who can articulate the outcomes and value of their work, and have working experience in some of the following:

  • 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 optimization 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 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.

Data Engineer, Ai in England employer: Deloitte - Recruitment

As a Data Engineer in AI at our company, you will be part of a dynamic and innovative team dedicated to making a significant impact in Defence Security. We offer a supportive work culture that values collaboration and continuous learning, with opportunities for professional growth through diverse projects across various industries. With hybrid working arrangements in vibrant locations like London, Bristol, or Manchester, you can enjoy a balanced work-life while contributing to meaningful solutions that drive our clients' missions forward.
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Contact Detail:

Deloitte - Recruitment Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Engineer, Ai in England

✨Tip Number 1

Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals 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 clear view of what you can bring to the table.

✨Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with distributed computing and data governance, and how you've tackled challenges in past projects.

✨Tip Number 4

Don't forget to apply through our website! We’re always looking for talented individuals like you, especially those with DV clearance. It’s a great way to get noticed and land that dream role in data engineering.

We think you need these skills to ace Data Engineer, Ai in England

DV Clearance
Data Engineering
ETL Processes
Data Pipelines
Workflow Orchestration
Distributed Computing Techniques
Data Governance
Information Security
Data Modelling
Database Optimisation
Systems Thinking
Agile Methodologies
Communication Skills
Technical Solution Design
Performance Monitoring

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with data pipelines, ETL processes, and any relevant technologies. We want to see how your skills align 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 your background makes you a great fit for our team. Don’t forget to mention your DV clearance!

Showcase Your Projects: If you've worked on any cool projects related to data engineering, make sure to include them! We love seeing real-world examples of your work, especially if they demonstrate your problem-solving skills and innovative approaches.

Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. We can’t wait to hear from you!

How to prepare for a job interview at Deloitte - Recruitment

✨Know Your Tech Inside Out

Make sure you’re well-versed in the technologies mentioned in the job description. Brush up on your experience with ETL processes, data pipelines, and distributed computing techniques. Be ready to discuss specific projects where you've applied these skills.

✨Showcase Your Problem-Solving Skills

Prepare examples of how you've tackled challenging data engineering problems in the past. Highlight any innovative approaches you've taken and be ready to explain the outcomes. This will demonstrate your ability to bring value to the team.

✨Understand the Business Context

It’s crucial to articulate how your technical skills translate into business value. Think about how your work has impacted previous clients or projects. Being able to connect the dots between tech solutions and business outcomes will set you apart.

✨Prepare for Agile Methodologies

Since the role involves working in agile teams, brush up on your understanding of agile methodologies. Be prepared to discuss your experience in multi-disciplinary teams and how you’ve adapted to different project focuses and client needs.

Data Engineer, Ai in England
Deloitte - Recruitment
Location: England

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