Data Platform Engineer - (AWS, Databricks)

Houseful
London, UK
3 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon Web Services Amazon Elastic Compute Cloud Amazon S3 Business Logic BigQuery Cloud Computing Information Engineering Data Infrastructure Extract Transform Load (ETL) Data Retention Data Stores
+14 more
Python (Programming Language) Microsoft SQL Server Standard Sql SQL Databases Data Streaming Data Ingestion Snowflake Build Management Kubernetes Apache Kafka Functional Programming Terraform Stream Processing Databricks

Job description

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., * 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.

Requirements

Do you have experience in Terraform?, 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.

Benefits & conditions

Pulled from the full job description

  • Referral programme
  • Annual leave
  • Company pension
  • Paid volunteer time
  • On-site gym
  • Private medical insurance
  • Cycle to work scheme, * 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

About the company

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.

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