AI & Data Engineer

AI & Data Engineer

Full-Time 46200 - 63000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join us as an AI & Data Engineer, transforming data into valuable insights for clients.
  • Company: ManpowerGroup connects talent with opportunities in IT services and consulting.
  • Benefits: Enjoy a hybrid work model and competitive salary ranging from £55,000 to £75,000.
  • Why this job: Be part of innovative projects, collaborate with diverse teams, and make a real impact.
  • Qualifications: Experience in data pipelines, ETL processes, and strong coding skills are essential.
  • Other info: Active DV Clearance is required; apply now to kickstart your tech career!

The predicted salary is between 46200 - 63000 £ per year.

This range is provided by ManpowerGroup. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from ManpowerGroup

AI & Data Engineer – Must have an Active DV Clearance – Hybrid

Location: Bristol, London, Manchester or Cambridge

Salary: £55,000 – £75,000 (depending on experience and clearance)

Our client is looking for an AI & Data Engineer to join their team.

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.

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

  • Ingesting, transforming, enriching, and integrating data from diverse sources into well-structured information assets.
  • 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.

Required Skills:

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.

If this is the role for you please submit your CV at your earliest convenience.

Seniority level

  • Seniority level

    Mid-Senior level

Employment type

  • Employment type

    Full-time

Job function

  • Job function

    Information Technology

  • Industries

    IT Services and IT Consulting

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AI & Data Engineer employer: ManpowerGroup

At ManpowerGroup, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our AI & Data Engineers enjoy competitive salaries, flexible hybrid working arrangements, and ample opportunities for professional growth across various industries in vibrant locations like Bristol, London, Manchester, and Cambridge. Join us to be part of a forward-thinking team where your contributions directly impact our clients' success and where your career can flourish.
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Contact Detail:

ManpowerGroup Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land AI & Data Engineer

✨Tip Number 1

Familiarise yourself with the specific technologies mentioned in the job description, such as ETL processes and data pipeline development. Having hands-on experience or projects that showcase your skills in these areas will make you stand out.

✨Tip Number 2

Network with professionals in the AI and data engineering field. Attend industry meetups or webinars to connect with potential colleagues or mentors who can provide insights into the role and company culture.

✨Tip Number 3

Prepare to discuss your previous projects in detail, especially those that involved multi-disciplinary teams or agile methodologies. Being able to articulate your contributions and the impact of your work will demonstrate your value to the team.

✨Tip Number 4

Research the company’s recent projects and initiatives in AI and data engineering. Showing that you understand their business and how you can contribute to their goals will set you apart from other candidates.

We think you need these skills to ace AI & Data Engineer

Data Pipeline Development
ETL Processes
Workflow Orchestration
Distributed Computing Techniques
Data Integration
Data Modelling
Database Optimisation
Information Security
Data Governance
Metadata Management
Master Data Principles
Systems Thinking
Architectural Design
Performance Tuning
Version Control
CI/CD Pipelines
Communication Skills
Agile Methodologies
Problem-Solving Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, AI, and any specific technologies mentioned in the job description. Use keywords from the job listing to ensure your application stands out.

Craft a Compelling Cover Letter: Write a cover letter that not only outlines your technical skills but also demonstrates your understanding of the business impact of your work. Mention how you can bridge the gap between customer needs and technical solutions.

Showcase Relevant Projects: Include examples of past projects where you've developed data pipelines or worked with diverse data sources. Highlight your role, the technologies used, and the outcomes achieved to demonstrate your hands-on experience.

Highlight Soft Skills: In addition to technical skills, emphasise your communication abilities and systems thinking. Explain how you can translate business requirements into technical solutions, as this is crucial for the role.

How to prepare for a job interview at ManpowerGroup

✨Showcase Your Technical Skills

Be prepared to discuss your hands-on experience with data pipelines, ETL processes, and distributed computing techniques. Bring examples of your work that demonstrate your ability to handle large data volumes and optimise data systems for performance.

✨Communicate Effectively

Since the role requires bridging technical solutions with customer needs, practice articulating complex technical concepts in simple terms. Be ready to explain how your work adds value to the business and meets client requirements.

✨Demonstrate Problem-Solving Abilities

Prepare to discuss specific challenges you've faced in data engineering and how you approached solving them. Highlight any innovative solutions or novel approaches you've implemented in past projects.

✨Understand Agile Methodologies

Familiarise yourself with agile practices as you'll be working in multi-disciplinary teams. Be ready to discuss your experience in agile environments and how you’ve contributed to successful project deliveries.

AI & Data Engineer
ManpowerGroup
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  • AI & Data Engineer

    Full-Time
    46200 - 63000 £ / year (est.)

    Application deadline: 2027-08-13

  • M

    ManpowerGroup

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