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Alto

Senior Data Platform Engineer (AWS, Databricks)

London
Posted about 20 hours ago
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London | Hybrid — 2 days per week in our London HQ | Full-time

Alto Software Group is a B2B SaaS company that powers more than half of all UK housing transactions each year. We create software solutions that connect businesses and consumers, delivering a one-stop shop for estate agents and home builders. Our goal is to drive efficiency, speed up transactions, reduce risk, and improve the end-customer experience. While we're not a start-up, we have a start-up mindset and want our people to operate with this mindset so that we can achieve our ambitions.

The Role

We are looking for a Senior Data Platform Engineer to take on the hardest parts of scaling our data platform which powers both internal and external analytics solutions, agentic AI workflows and wider engineering systems. We’re investing heavily in migrating workloads and services away from legacy infrastructure, as well as building repeatable and resilient data processing pipelines for these use cases.

What You'll Do

  • Own the reliability and performance of our data lakehouse as it scales, taking the lead on the operational problems that don't have an obvious answer.
  • Build the infrastructure and business logic behind our data commercialisation products, partnering with product and commercial teams to turn data into revenue.
  • Design the abstractions, blueprints and reusable templates that let service and analytics teams work with data safely and consistently, from ingestion through to storage and access — and make them good enough that teams choose them.
  • Lead the data side of modernising our legacy monolithic SQL Server database: extracting into the lakehouse and parallel data stores, introducing retention policies, and migrating to modern SQL frameworks.
  • Write and optimise ETL processes and contribute to data modelling for both internal analytics and external-facing data products.
  • Take work from ambiguous problem statements through design, build and deployment, and stay accountable for it in production.
  • Raise the technical bar on how we build — reviewing designs, challenging decisions, and improving our engineering practices as you go.

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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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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It searches the market for you

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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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Strong

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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Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

What You Need to Be Successful

  • Deep, hands-on experience building and running production data platforms and products
  • A good level of experience in Python (particularly pyspark) for building data pipelines
  • Strong AWS and Terraform experience, with infrastructure-as-code as your default way of working rather than something you've picked up.
  • Substantial experience with a modern lakehouse or warehouse platform — Databricks ideally, or Snowflake/BigQuery — including the performance, cost and governance decisions that come with running one at scale.
  • Real production experience with Fivetran, dbt, or equivalent ingestion and transformation tooling.
  • Kafka or similar streaming systems in production, and the judgement to know when event-driven is the right answer and when it isn't.
  • Strong SQL and sound data modelling instincts, plus experience working with large legacy relational estates and the constraints they bring.
  • Comfort with container orchestration (ECS, Kubernetes) and how data workloads actually behave in production.
  • A platform mindset — you take as much satisfaction from the paved road as from the pipeline that runs on it.
  • There's always room to grow and learn with our roles — please don't be put off if you don't have all of these. It's more important that you're passionate about improving the home moving and owning experience for everyone.

Our Technology Stack

We believe in using the right tool for the job. Our current stack includes:

  • Data Platform: Databricks, dbt, Fivetran
  • Languages: Python, SQL
  • Databases: SQL Server (legacy, being modernised), plus lakehouse storage on S3
  • Cloud & Infrastructure: AWS (EventBridge, Kinesis, Lambda, S3, EC2), Terraform (Infrastructure as Code)
  • Streaming: Kafka
  • Containers & Orchestration: ECS, Kubernetes

Our Behaviours:

  • Explore Boldly: We value engineers who are eager to learn new technologies and stay current with industry trends.
  • Bounce Back Stronger: A pragmatic problem-solver who can navigate ambiguity and find simple solutions to complex challenges.
  • Own It Together: A collaborative team member who is willing to share early-stage work and both give and receive constructive feedback.
  • Make It Happen: A person who takes pride in their delivery and is passionate about creating high-quality software at pace.
  • Know Our Customers: You're a platform engineer who is genuinely interested in your internal customers' perspective. You strive to understand the purpose of your work so you can deliver the most impactful solutions.

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Why Join Alto?

This role offers genuine ownership of a platform at the point where it stops being a project and starts being critical infrastructure — your decisions on architecture, tooling and standards will hold for years. You will have the autonomy to shape how data is built and consumed across the business, and direct visibility with the product and commercial teams turning that data into revenue. With the Databricks migration in flight and data products moving from idea to roadmap, this is the moment where the hardest and most interesting work sits.

  • Hybrid - 2 days per week in our London HQ for team collaboration
  • Opportunities for career development and advancement within a growing organisation.
  • Everyday Flex - greater flexibility over where and when you work
  • 25 days annual leave + extra days for years of service
  • Day off for volunteering & Digital detox day
  • Festive Closure - business closed for period between Christmas and New Year
  • Cycle to work and electric car schemes
  • Free Calm App membership
  • Enhanced Parental leave
  • Fertility Treatment Financial Support
  • Group Income Protection and private medical insurance
  • Gym on-site in London
  • 7.5% pension contribution by the company
  • Discretionary annual bonus up to 10% of base salary
  • Talent referral bonus up to £5K

We want to make ASG more welcoming, fair and representative every day. We’ll consider everyone who applies for this role in the same way, regardless of your ethnicity, colour, national origin, religion, sexual orientation, gender, gender identity, age, physical disability, neurodiversity status, family or parental status, or how long you’ve spent unemployed.

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Skills

AWS
Databricks
Python
Pyspark
Terraform
Infrastructure-as-code
SQL
Data modelling
Fivetran
Dbt
Kafka
Streaming systems
Container orchestration
ECS
Kubernetes
Data lakehouse

Location

London, England, United Kingdom

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