3700 وظيفة Data Engineer Ami قريبًا مني

Electricity grids are undergoing the most significant transformation in a century. The shift to renewables, the proliferation of rooftop solar, batteries and EVs, and the increasing complexity of distribution networks are forcing utilities to operate their grids in fundamentally new ways. Gridsight's vertical SaaS platform uses data, ML and AI to help grid operators modernise their operations and unlock transformational new capabilities. We deliver visibility into the grid edge, faster renewable connections, and real-time orchestration of distributed energy. The energy transition is a problem that will define this generation and we're at the heart of it. The opportunity is enormous ($1B+ ARR).

We're embedded with over 50% of Australia's distribution networks, more than 30% in New Zealand, and have 1 of the top 5 utilities in the US as our lighthouse. Airtree led our Series A, we just closed our Series B led by a major US fund, and we're on the path to build the first truly generational utility software company.

We are a lean team of builders across Australia, the US and the UK. What unites us is that we're curious, hungry and obsessed with maximising the impact we can deliver to Gridsight and the energy transition. If that sounds like you, come join us.

Why now, in the UK and Europe

Gridsight was founded in Australia five years ago. We have product-market fit at home, we are the category leader there, and we have made real inroads in the US with multiple Top 20 utilities now working with us.

The UK and Europe are our newest market, and we are building here from a standing start.

About the role

Pilots here are moving from proposal to deployment with network operators. This role sits between electrical engineering thinking and real customer problems: turning analysis into insight a DNO or DSO can see, trust and act on, and working out how our product and data land in a market that is new for our models.

In our established customer teams, this work runs alongside Power Engineers on live accounts. Here it is a founding seat, forward deployed with the customer, with scope to decide how delivery in this region should work. You will be close to customers, close to the sales conversations that open them, and close to the product decisions that shape what we build next.

You will not inherit a playbook. You will write the one the next three hires use.

What you'll do

• Turn network data (AMI, network topology and other asset telemetry) into clear analysis and visualisations that help a DNO or DSO understand the real state of its grid.
• Stretch across the whole customer relationship: pre-sales, pilots, and full deployments.
• Take the technical solution designed with Power Engineers and execute it end to end with the customer. You own the delivery, not only the analysis.
• Wrangle messy, incomplete, real-world network data into something reliable, and be straight about data quality where it matters.
• Sit close to customers in pilots and early deployments: run working sessions, present findings, and translate between technical and non-technical audiences.
• Shape how our data model and platform fit UK and European network operators and their regulatory context, and feed the recurring patterns back to Product.
• Build the delivery playbook for the region as you go, so the next hires move faster than you did.

Who you are

Must-haves

• Strong analytical and data craft. You’ll have the data toolkit for real analysis, transformation and validation of messy datasets. Hands-on, not directing.
• A bias for the most direct path to value. You work out what matters and why before working out how, and you do the simple thing first. You can point to ambiguous problems you turned into delivered outcomes, not only researched ones.
• Commercial instincts. Comfortable in pre-sales conversations, prioritising by value to the customer and to us, and credible as much in front of a prospect as for a live customer.
• Excellent customer-facing communication. You can explain complex analytics plainly, facilitate a room, and hold credibility with senior stakeholders.
• Fast, demonstrable learning velocity in unfamiliar technical territory. Deep power systems expertise is not required. Building enough grid context quickly to find where the value is, and to design solutions rather than only execute them, is.
• A demonstrated reason to be in energy. We don't need years in the sector. We do need to believe you would choose this problem.
• AI-native working practices. You use AI and agentic tooling to move faster on analysis, prototyping, testing and documentation, and you hold a real method for checking correctness rather than trusting output.
• Comfortable as an early hire. No established process, nobody above you doing the delivery, and no manager in the room to escalate to.

Strongly preferred

• Exposure to the energy sector, grid data, DER, digital twins, or energy-data infrastructure.
• Experience owning outcomes with external customers or clients.

Nice-to-haves

• ML or data science depth.
• Experience with modern data tooling.
• Familiarity with UK or European energy regulation and the DNO/DSO context.

How we work

We deliver work we take pride in, shipped at pace. Everyone owns outcomes end to end. We take on interesting, high stakes problems but they don't come with instructions or a playbook. We seek the fastest path to value for the customer and take it.

If you want real problems, real pace and the opportunity to do your life's work, we want to meet you.

What we offer

• Competitive salary. We hold high expectations, but pay accordingly.
• Meaningful ESOP so you share in the growth of Gridsight.
• Work-from-home allowance, health and wellness allowance, bi-annual in-person working weeks.
• A central London office and a flexible hybrid arrangement. We’re hiring founding team members in the region, so we do want you in the room with customers and with each other.
• Trips to co-work with colleagues in Australia and the US.