Data platform engineer for housing transactions

Alto; Greater London; Híbrido; GBP 90.000 - 120.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work 2 days in London

25 days annual leave

Volunteer day

Gym on-site

Cycle to work

Pension plan

Private medical insurance

Discretionary bonus up to 10%

Performance bonus

Career development

Descripción de la vacante

Alto Software Group ищет опытного инженера платформы для управления надёжностью и производительностью дата-латки, масштабируемой под рост бизнеса. Вы будете лидировать разработку инфраструктуры для дата-товаров, сотрудничать с командами продукта и коммерции, чтобы превращать данные в доход.

У вас будет возможность модернизировать существующие монолитные SQL-системы, мигрировать данные в lakehouse, внедрять политики хранения и современные фреймворки SQL.

Formación

• Опыт создания производственных дата-платформ и продуктов.
• Опыт написания пайплайнов на Python (PySpark).
• Сильный опыт AWS и Terraform, IaC по умолчанию.

Responsabilidades

• Обеспечение надёжности и масштабируемости data lakehouse по мере роста.
• Разработка инфраструктуры и бизнес-логики для дата-товаров, совместная работа с продуктом и коммерческими командами.
• Проектирование абстракций и шаблонов, позволяющих командам безопасно работать с данными.

Conocimientos

Python (PySpark)

AWS

Terraform

SQL

Data modelling

Container orchestration

Kubernetes

Data governance

Event-driven architecture

Herramientas

Databricks

Snowflake

BigQuery

Fivetran

dbt

Kafka

ECS

Descripción del empleo

Описание

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.

Задачи

• 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

Требования

• 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
• 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

Условия

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