Data Platform Engineer - (AWS, Databricks)

Alto; Greater London; Hybrid; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Hybrid – 2 days per week in our London

Career development and advancement

Everyday Flex – flexible work location

25 days annual leave + extra days for長

Day off for volunteering

Festive Closure – Christmas/New Year

Cycle to work

Private medical insurance

Pension contribution

Discretionary bonus

Referral bonus

Job summary

Alto Software Group, a UK-based B2B SaaS company powering housing transactions, is seeking a Data Platform Engineer to scale its data lakehouse, build data-driven products, and create reusable building blocks for data flow across the business.

You will own design to deployment, work with AWS, Databricks and Terraform, and help modernise data infrastructure to support internal analytics and external data products.

Qualifications

• A data or platform engineer with strong Python skills and a track record of building data infrastructure that other engineers and analysts depend on.
• Hands-on experience with AWS and Terraform, and a comfort with infrastructure‑as‑code as the default way of working.
• Experience 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 adopt.
• Solid SQL skills and a good sense for data modelling, even if it isn’t the main thing you do day to day.
• Awareness of container orchestration (ECS, Kubernetes) and how data workloads run in production.
• A platform mindset — you enjoy building tools, templates and paved roads for other engineers as much as you enjoy shipping pipelines yourself.

Responsibilities

• 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 business.
• Build the infrastructure and business logic behind our new data commercialisation opportunities, partnering with product and commercial teams to turn data into revenue‑generating products.
• Design 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 access.
• Play 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 languages.
• Write ETL processes and contribute to data modelling for both internal analytics and external‑facing data products, where the platform alone isn’t enough.
• Take ownership of your work from design to deployment, either independently or as part of a collaborative team.
• Help shape our engineering practices and explore new ways of working to deliver value to our internal customers in a fast, predictable way.

Skills

Python

SQL

Data platform engineering

AWS

Terraform

Databricks

Kafka

Kubernetes

ETL

Data modelling

Tools

DBT

Fivetran

SQL Server

S3

ECS

Job 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 business.
• Build the infrastructure and business logic behind our new data commercialisation opportunities, partnering with product and commercial teams to turn data into revenue‑generating products.
• Design 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 access.
• Play 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 languages.
• Write ETL processes and contribute to data modelling for both internal analytics and external‑facing data products, where the platform alone isn’t enough.
• Take ownership of your work from design to deployment, either independently or as part of a collaborative team.
• Help 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 on.
• Hands‑on experience with AWS and Terraform, and a comfort with infrastructure‑as‑code as the default way of working.
• Experience 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 adopt.
• Solid SQL skills and a good sense for data modelling, even if it isn’t the main thing you do day to day.
• Awareness of container orchestration (ECS, Kubernetes) and how data workloads run in production.
• A 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 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.

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 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.