Summary
✨ AI‑Generated
A Data Platform Engineer is sought to scale a cloud-based data lakehouse supporting analytics and AI. The role focuses on building reliable infrastructure for data products and reusable engineering components that enable teams to move and use data safely and efficiently. Experience with AWS and Databricks is central to the position.
Highlights
Opportunity to scale a modern data lakehouse, build infrastructure for data-driven products, and create reusable engineering capabilities in a fast-growing environment with a startup mindset.
Description
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 startup, we operate with a startup mindset.
We're looking for people who share this mentality and are ready to tackle big ambitions.
This is a fast-growing and exciting business going through significant change, and there's never been a better time to join us.
We're looking for a passionate Data Platform Engineer to join the Alto Team.
You'll help us scale the data lakehouse that powers analytics and AI across the business, build the infrastructure behind new data commercialisation products, and create the reusable building blocks that let our engineering teams move data around safely and quickly.
What You'll Do
Provide ongoing operational support and build new solutions for our data lakehouse and scale it out to serve internal analytics and AI use cases that boost productivity across the businessBuild the infrastructure and business logic behind our new data commercialisation opportunities, partnering with product and commercial teams to turn data into revenue-generating productsDesign and build the abstractions, blueprints and reusable templates that let service and analytics teams work with data safely and consistently, from ingestion through to storage and accessPlay a key role in modernising our legacy monolithic SQL Server database — extracting data into our lakehouse and other parallel data stores, introducing data retention policies, and helping migrate to modern SQL frameworks and languagesWrite ETL processes and contribute to data modelling for both internal analytics and external-facing data products, where the platform alone isn't enoughTake ownership of your work from design to deployment, either independently or as part of a collaborative teamHelp shape our engineering practices and explore new ways of working to deliver value to our internal customers in a fast, predictable way
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
Who We're Looking For
A data or platform engineer with strong Python skills and a track record of building data infrastructure that other engineers and analysts depend onHands-on experience with AWS and Terraform, and a comfort with infrastructure-as-code as the default way of workingExperience with a modern lakehouse or warehouse platform (Databricks ideally, or Snowflake/BigQuery), and with data ingestion and transformation tools (Fivetran/DBT)Familiarity with Kafka or similar streaming systems, and an interest in building the abstractions that make event-driven data flows easy for other teams to adoptSolid SQL skills and a good sense for data modelling, even if it isn't the main thing you do day to dayAwareness of container orchestration (ECS, Kubernetes) and how data workloads run in productionA platform mindset — you enjoy building tools, templates and paved roads for other engineers as much as you enjoy shipping pipelines yourself
Our Behaviours:
Explore Boldly: We value engineers who are eager to learn new technologies and stay current with industry trendsBounce Back Stronger: A pragmatic problem-solver who can navigate ambiguity and find simple solutions to complex challengesOwn It Together: A collaborative team member who is willing to share early-stage work and both give and receive constructive feedbackMake It Happen: A person who takes pride in their delivery and is passionate about creating high-quality software at paceKnow 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
Don't worry if you don't check every box! We're looking for passionate engineers who are excited to grow.
If you have a solid foundation in data engineering and are eager to learn, we encourage you to apply.
We are committed to building a diverse and inclusive team and welcome applications from all backgrounds.
Benefits
Hybrid - 2 days per week in our London HQ for team collaboration Opportunities for career development and advancement within a growing organisationEveryday Flex - greater flexibility over where and when you work25 days annual leave + extra days for years of serviceDay off for volunteering & Digital detox dayFestive Closure - business closed for period between Christmas and New YearCycle to work and electric car schemesFree Calm App membershipEnhanced Parental leaveFertility Treatment Financial SupportGroup Income Protection and private medical insuranceGym on-site in London7.5% pension contribution by the companyDiscretionary annual bonus up to 10% of base salaryTalent 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.