At a Glance
- Tasks: Join us to build and scale our data lakehouse for analytics and AI.
- Company: Alto Software Group, a fast-growing B2B SaaS company transforming UK housing transactions.
- Benefits: Hybrid work, 25 days leave, career growth, and wellness perks.
- Other info: We're committed to diversity and welcome applicants from all backgrounds.
- Why this job: Make a real impact in a dynamic environment with cutting-edge technology.
- Qualifications: Strong Python skills and experience with AWS and data infrastructure.
The predicted salary is between 60000 - 75000 € per year.
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.
Data Platform Engineer - (AWS, Databricks) in London employer: Houseful
Alto Software Group is an exceptional employer that fosters a dynamic and inclusive work culture, encouraging innovation and collaboration among its team members. With a strong focus on employee growth, the company offers ample opportunities for career advancement, flexible working arrangements, and a comprehensive benefits package, including enhanced parental leave and wellness initiatives. Located in London, employees enjoy a vibrant city atmosphere while contributing to meaningful projects that drive efficiency in the housing sector.
StudySmarter Expert Advice🤫
We think this is how you could land Data Platform Engineer - (AWS, Databricks) in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Alto Software Group on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Since they’re looking for a Data Platform Engineer, make sure you can talk confidently about AWS, Databricks, and Python. Practice coding challenges to keep your skills sharp!
✨Tip Number 3
Show your passion for data! During interviews, share examples of projects where you’ve built data infrastructure or solved complex problems. This will demonstrate that you’re not just skilled, but also genuinely interested in making an impact.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the team at Alto Software Group.
We think you need these skills to ace Data Platform Engineer - (AWS, Databricks) in London
Some tips for your application 🫡
Show Your Passion:When you're writing your application, let your enthusiasm for data engineering shine through! We want to see that you're genuinely excited about the role and how you can contribute to our team.
Tailor Your CV:Make sure to customise your CV to highlight your relevant experience with AWS, Databricks, and Python. We love seeing how your skills align with what we're looking for, so don’t hold back!
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so make sure your achievements and experiences are easy to read and understand. No need for fluff!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Houseful
✨Know Your Tech Stack
Familiarise yourself with the technologies mentioned in the job description, especially AWS, Databricks, and Terraform. Be ready to discuss how you've used these tools in past projects and how they can be applied to the role at Alto Software Group.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex challenges in data engineering. Highlight your ability to navigate ambiguity and find simple solutions, as this aligns with the company's value of 'Bounce Back Stronger'.
✨Emphasise Collaboration
Since the role requires working closely with product and commercial teams, be prepared to discuss your experience in collaborative environments. Share instances where you’ve contributed to team success and how you value feedback from others.
✨Understand the Customer Perspective
Demonstrate your awareness of internal customers' needs and how your work impacts them. Prepare to discuss how you’ve previously designed solutions with the end-user in mind, showcasing your commitment to delivering impactful results.