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Matillion

Staff Forward Deployed Engineer

Manchester
£84.1k – £126.3k/yr
Posted about 15 hours ago
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Are you ready to shape the future of data?

Matillion is the company behind Maia, the AI Data Automation platform.

In the AI economy, demand for data is exploding. Manual data engineering can’t keep up. Maia fixes that by combining 15 years of data expertise with agentic AI to eliminate the manual work that slows data teams down. Organisations like Cisco, DocuSign, and Slack are already using it to deliver real business impact, faster.

We started in Manchester and now we’re global - with teams across the UK, US and India.

We are driven, curious, energetic people who move fast, think big and hold ourselves to a high standard. We’re here to make a dent in the universe bigger than ourselves. And we’re looking for people who want to be part of it.

The Staff Forward Deployed Engineer

The Staff Forward Deployed Engineer is the senior operator we put on our most significant and complex Maia rollouts and expansions. Working primarily remotely with our distributed teams and on-site when it counts, they own these engagements end to end, architecting and building production-grade solutions, modifying Matillion’s own product code where the platform needs it, and holding the highest engineering bar under real delivery pressure.

A true force multiplier, they work at every level and across Sales, Product, Engineering, and Customer Success: earning technical wins, acting as a hands-on escalation point to Customer Success, and driving adoption and expansion in their accounts. They ship quickly and to standard in a low-friction way, turn their work into reusable assets and product feedback, and mentor the FDEs coming up behind them.

What you will be doing:

  • Owning end-to-end customer engagements by running discovery, architecting multi-cloud deployments, writing production-grade code, and guiding projects through to production cut-over.
  • Building complex data pipelines, models, and integrations across cloud data platforms to ensure customers achieve the core outcomes they adopted Maia for.
  • Modifying Matillion’s underlying codebase directly when native platform features are missing, adhering to strict engineering, security, and quality standards.
  • Delivering fast, pragmatic MVPs by diagnosing real underlying customer problems, questioning initial requirements, and shrinking scope to accelerate platform adoption.
  • Cultivating executive trust and serving as a cross-functional catalyst across Sales, Product, Engineering, and Customer Success to resolve complex escalations at the first point of contact.
  • Enabling total customer self-sufficiency by training internal champions and creating clear handover documentation for Customer Success and Support teams upon project exit.
  • Securing technical wins during pre-sales cycles through technical discovery, proof-of-concept deliveries, objection handling, and joint strategy work with Account Executives.
  • Influencing product evolution by identifying repeating delivery patterns, submitting structured product feedback, and building reusable implementation frameworks that minimize future custom work.
  • Working agentic-first by integrating AI tools across the entire delivery lifecycle while setting clear quality validation standards for AI-generated outputs.
  • Elevating team performance by mentoring junior engineers, shaping hiring standards, refining delivery processes, and continuously updating expertise in emerging AI and cloud tech.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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What we are looking for:

  • 5+ years of experience in production-grade software development and data integration, featuring expert Python, SQL, and object-oriented skills (Java/Go) for designing reusable architectures and refactoring complex codebases.
  • Deep knowledge of distributed systems, data architecture, CI/CD, Kubernetes, secure enterprise networking, and at least one major cloud provider (AWS, Azure, or GCP).
  • Hands-on expertise in scalable data pipelines and cloud data platforms like Snowflake, Databricks, Redshift, or BigQuery, alongside familiarity with the broader Matillion product estate.
  • Disciplined use of AI tools across the delivery process with the ability to validate output, supported by optional experience in production LLMs, RAG, and AI agents.
  • Proven background in customer-facing technical delivery, spanning pre-sales technical discovery, hands-on implementation, and escalation management.
  • Excellent communication skills to connect with both C-suite executives and technical developers during complex debugging sessions.
  • Strong engineering judgment and systems thinking to make sound architectural trade-offs between speed, scalability, and maintainability under ambiguity.
  • Execution bias and high autonomy to deliver working production systems independently in high-pressure environments.
  • Deep customer empathy and rapport-building capabilities that establish long-term trust with technical teams and executive stakeholders.
  • Founder mentality and a multiplier mindset to take full ownership of outcomes while elevating the performance of surrounding team members.

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Compensation

At Matillion, we are committed to providing compensation in line with market standards based on the role, job family, job level and country. This role's estimated annual salaried pay range for this position is £84,160 - £126,240. The final salary will be based on your relevant skills, experience and qualifications demonstrated in the hiring process.

More about Matillion

We operate a flexible working culture that promotes work-life balance, with benefits including:

  • Company Equity
  • 30 days holiday + bank holiday
  • 5 days paid volunteering leave
  • Private Health Insurance
  • Life Insurance
  • Pension
  • Access to mental health support

Your Safety

Matillion recruiters will only contact you from @matillion.com email addresses. We occasionally work with trusted recruiting partners; they will always tell you they are working on our behalf. We will never ask for money, fees, or bank details at any point in the hiring process. If something feels off, trust that instinct. Don't click any links. Go straight to matillion.com/careers to verify open roles or reach us at talent@matillion.com.

Want to know more?

  • Don't tick every box? Apply anyway. We hire for potential, not just experience. A member of our Talent Acquisition team will be in touch.
  • Cannot find anything suitable role right now? We still want to hear from you. Drop us a line at talent@matillion.com.
  • Find out more about life on #TeamGreen here.

Matillion is an equal opportunity employer. We celebrate diversity and we are committed to creating an inclusive environment for all of our team. Matillion prohibits discrimination and harassment of any type. Matillion does not discriminate on the basis of race, colour, religion, age, sex, national origin, disability status, genetics, sexual orientation, gender identity or expression, or any other characteristic protected by law.

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Skills

Python
SQL
Java
Go
Data architecture
Distributed systems
CI/CD
Kubernetes
Cloud platforms
Snowflake
Databricks
Redshift
BigQuery
AI agents
RAG
Technical delivery

Location

Manchester, England, United Kingdom

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