Senior Data Platform Engineer (AWS, Databricks)
Alto
London | Hybrid — 2 days per week in our London HQ | Full-time
The Role
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.
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.
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.
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.
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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