At a Glance
- Tasks: Join us to scale our data lakehouse and build innovative data solutions.
- Company: Alto Software Group, a leading B2B SaaS company transforming UK housing transactions.
- Benefits: Enjoy flexible working, 25 days leave, and a supportive work environment.
- Other info: Collaborative culture with opportunities for career growth and development.
- Why this job: Make a real impact in a fast-growing company with a startup mindset.
- 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.
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) employer: Houseful Limited
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 numerous career development opportunities, flexible working arrangements, and a comprehensive benefits package, including generous annual leave, wellness initiatives, and financial support for personal milestones. 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)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at Alto Software Group. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to data engineering and AWS. This gives us a tangible way to see what you can do beyond your CV.
✨Tip Number 3
Prepare for the interview by understanding our tech stack. Brush up on Databricks, Python, and AWS. We love candidates who can discuss how they’ve used these tools in real-world scenarios.
✨Tip Number 4
Don’t hesitate to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always on the lookout for passionate engineers who are eager to grow with us.
We think you need these skills to ace Data Platform Engineer - (AWS, Databricks)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Data Platform Engineer role. Highlight your Python, AWS, and Databricks experience, and don’t forget to mention any relevant projects you've worked on!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data engineering and how you can contribute to our mission at Alto Software Group. Share specific examples of your work that demonstrate your problem-solving skills and platform mindset.
Showcase Your Technical Skills:In your application, be sure to highlight your hands-on experience with tools like Terraform, Fivetran, and DBT. We want to see how you've used these technologies to build robust data infrastructures in the past.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Houseful Limited
✨Know Your Tech Stack
Familiarise yourself with the technologies mentioned in the job description, especially Databricks, AWS, and Terraform. Be ready to discuss how you've used these tools in your previous roles and how they can be applied to the projects 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 teamwork is key at Alto, think of instances where you've worked collaboratively on projects. Be ready to discuss how you share feedback and support your teammates, showcasing your commitment to 'Own It Together'.
✨Demonstrate a Growth Mindset
Express your eagerness to learn and adapt to new technologies. Share any recent learning experiences or courses you've taken that relate to data engineering, as this reflects the company's value of 'Explore Boldly'.
