Analytics Engineer

Ohme; Greater London; On-site; GBP 75,000 - 110,000; Full time

Benefits offered by this job

Competitive salary and bonus

London Office - 3 days a week in the 


Private Health Insurance

Pension Scheme

Life Assurance Scheme

Income Protection Scheme

Ride to Work Scheme

Payroll Giving Scheme

Season Ticket Loan

Eye Test every 2 years

Job summary

Ohme is seeking an Analytics Engineer to build and run a scalable, secure analytics platform trusted by the whole company, reporting into the Lead Analytics Engineer. The role focuses on Snowflake, dbt, data quality, cost visibility and enabling analysts and AI tooling with well‑documented data.

The right candidate will model data, manage security features, and drive observability and efficiency across the data platform in a fast‑growing cleantech scale‑up based in London.

Qualifications

• Strong SQL and dimensional modelling in data warehouses.
• Experience with Snowflake security features (RBAC, column‑level security, dynamic masking, SSO).
• Experience budgeting warehouse costs and optimizing spend.
• Familiar with AI tooling like Claude Code or Cursor and their impact on analytics workflows.
• Knowledge of semantic layers (LookML, Omni, dbt Semantic Layer) and usefulness of a warehouse.

Responsibilities

• Own the Snowflake warehouse and the dbt project behind it, including data models, engineering standards and cost.
• Ensure data quality, monitoring and alerting, and respond when data is wrong or late.
• Manage platform cost per charger and measure scalability against growth.
• The warehouse as a product for analysts, business users and AI tooling that depends on clean data.

Skills

SQL

Dimensional modelling

Data quality

Cost awareness

Communication

AI tooling

Tools

Snowflake

LookML

Omni

dbt Semantic Layer

Claude Code

Cursor

Terraform

Python

AWS

Job description

Ohme is on a mission to accelerate the global transition to clean, affordable energy. We do that by serving as an integrated hardware and software smart-grid platform, focused on the residential EV charging market. The worlds of energy, transport and artificial intelligence are colliding and Ohme is at the heart of this new era. By using technology and data integrations to connect cars, chargers, people, energy providers and more, Ohme has a powerful platform that puts the consumer at the core. Ohme has been selling its chargers to consumers since mid 2019 and has had exponential growth since. We are now operating in multiple countries and have partnerships with the likes of VW Group, Hyundai, Volvo, Octopus Energy, and other innovative brands. We are scaling up the business and are building out the team for rapid growth. If you’re interested joining a fast‑growing cleantech venture on a data and AI‑first journey to speed up the global transition to clean, affordable energy, read on! We are looking for an Analytics Engineer to join our data team. Your remit is to build and run a scalable, secure analytics platform that the whole of Ohme can trust, reporting into our Lead Analytics Engineer.

What You’ll Own:

• The Snowflake warehouse and the dbt project behind it: its data models, engineering standards and cost, shared with the Lead Analytics Engineer.
• Data quality and reliability: how we test, monitor and alert, and how we respond when data is wrong or late.
• Platform cost per charger: the metric that tells us whether the platform scales more cheaply than the business grows.
• The warehouse as a product for its consumers: analysts, business users and the AI tooling that increasingly depends on clean, documented data.

The Impact You’ll Have:

• Making Ohme’s data cheaper to run than the business grows. Every data asset carries a visible cost and an owner, and you build the processes that find and remove waste. Success looks like Snowflake cost per charger falling while the fleet keeps expanding.
• Making the warehouse the version of the truth people reach for. Well‑modelled, well‑tested and well‑documented dbt assets mean fewer arguments about whose number is right, and more time spent on the decision itself.
• Catching problems before anyone downstream does. Observability across spend, freshness and tests, so a stale dashboard or a broken model is something the data team tells the business about, not the other way round.
• Raising the standard of how we build. Your code reviews and the engineering standards you help set shape how every model is written, not just the ones you write yourself.
• Multiplying the team with AI. Routines, agents and workflows that take on the repetitive parts of analytics engineering, so the team’s time goes on judgement rather than toil.
• Being the person people come to. Analysts, engineers and business stakeholders know who to ask about the warehouse, and get a clear, useful answer.

About You:

• You think in models, not just queries. Strong SQL and a solid grasp of dimensional modelling (star schemas, facts and dimensions, slowly changing dimensions), and you can explain why a model is shaped the way it is.
• You’ve run a warehouse with a budget in mind. Hands‑on experience with Snowflake, including its security features (RBAC, column‑level security, dynamic data masking, SSO or identity provider integration), and an instinct for where cost hides.
• You build with AI tooling. Comfortable with tools such as Claude Code or Cursor, and curious about how they change analytics engineering workflows.
• You know the semantic layer matters. Familiarity with LookML, Omni, the dbt Semantic Layer or similar, and an understanding that a warehouse is only as useful as the questions it can answer.
• You connect technical choices to business outcomes. You care whether a model actually improves a decision, and you use that context to make trade‑offs between cost, freshness, correctness and speed.
• You communicate across altitudes. You can review a pull request with an engineer in the morning and explain to a non‑technical stakeholder why their number changed in the afternoon, without losing precision in either.
• You turn ambiguity into a plan. Given a loosely defined problem, you work out what matters, propose a direction and sequence the work, asking for input rather than permission.
• You give and take feedback well. Code review is a conversation about getting to the best answer. You hold a high bar, explain your reasoning and change your mind when someone has a better argument.
• You take ownership. When something breaks you want to understand why and stop it happening again, rather than waiting to be asked.
• Experience with cloud data platforms, preferably AWS. Terraform and Python are a plus.

How You’ll Grow:

• First six months. Get the fundamentals right: security, cost visibility and reliable, well‑reviewed models, while learning Ohme’s data inside out.
• Six to twelve months. Own the cost and quality outcomes end to end, with the latitude to decide how they are achieved.
• Twelve to eighteen months. Become the point of contact for Ohme’s analytics platform and shape the platform’s architecture alongside the Lead Analytics Engineer.
• Beyond. From there the path runs towards Senior Analytics Engineer, with room to lean into technical depth (platform and architecture) or breadth (mentoring and leading through others).

You’ll get to work in a fast‑paced and rapidly growing scale‑up with global ambitions that is cutting edge, passionate about sustainability and seeks to make the world a better place.

Benefits

• Competitive salary and bonus
• London Office - 3 days a week in the office
• Private Health Insurance
• Pension Scheme
• Life Assurance Scheme with death in service benefit of 4x salary
• Income Protection Scheme for long term illness
• Ride to Work Scheme
• Payroll Giving Scheme
• Season Ticket Loan to spread cost of travel over 12 months
• Eye Test every 2 years

Ohme is an equal opportunity employer. Diversity, Equity and Inclusion are at the heart of what we do and we encourage a culture where everyone can be themselves at work. We actively seek out a diverse range of talent and our policies ensure that every job application and employee is treated fairly, with equal opportunity to succeed and to feel included.