At a Glance
- Tasks: Lead a team to build and modernise our data platform using AWS and Databricks.
- Company: Join Alto Software Group, a fast-growing B2B SaaS company transforming UK housing transactions.
- Benefits: Enjoy hybrid work, career development, generous leave, 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 while staying hands-on with technology.
- Qualifications: Strong Python skills and experience with AWS, Terraform, and data platforms required.
The predicted salary is between 80000 - 100000 € 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 seeking an experienced Data Platform Engineering Manager to help lead a small team of data platform engineers. The role is a genuine 50/50 split between hands-on engineering and people & delivery management.
You'll report to the Head of Platform & Data Engineering, partner closely with our Technical Product Manager, and lead around three engineers day-to-day — scaling our data lakehouse, delivering the infrastructure behind new data commercialisation products, and building the reusable building blocks that let teams across Alto move data safely and quickly.
What You'll Do- Helping recruit, guide, and nurture a diverse and seasoned data platform engineering team.
- Collaborating with your peers, the Technical Product Manager and the Head of Platform & Data Engineering to develop and expand our data platform engineering function.
- Guiding, advising and coaching data platform engineers through regular one-on-one meetings, objective setting, and continuous feedback cycles.
- Partnering with the Technical Product Manager to shape the roadmap, prioritise effectively across competing demands, and deliver predictably for internal and external customers.
- Spending roughly half your time hands-on — writing Python and Terraform, designing systems, reviewing code, and shipping platform capabilities alongside the team.
- Taking ownership of delivery from design through to deployment, either independently or as part of a collaborative team.
- Collaborating with product, commercial and engineering teams across Alto to translate complex business problems into elegant, customer-focused data solutions.
- Contributing to the modernisation of our data infrastructure.
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
- A senior data or platform engineer with strong Python skills and a track record of building data platform infrastructure.
- Hands-on experience with AWS and Terraform.
- Experience with a modern lakehouse or warehouse platform (Databricks ideally).
- Familiarity with Kafka or similar streaming systems.
- Solid SQL skills and a good sense for data modelling.
- Awareness of container orchestration (ECS, Kubernetes).
- Experience managing software engineers.
- A genuine appetite for staying technical.
- Capable of leading technical discussions among the team.
- Comfortable engaging directly with internal customers and stakeholders.
- Drive effective communication within and across teams.
- Accustomed to operating with significant alignment and independence.
- A platform mindset.
- Explore Boldly: We value engineers who are eager to learn new technologies.
- Bounce Back Stronger: A pragmatic problem-solver.
- Own It Together: A collaborative team member.
- Make It Happen: A person who takes pride in their delivery.
- Know Our Customers: You're a platform engineer who is genuinely interested in your internal customers' perspective.
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 Engineering Manager (AWS, Databricks) in London employer: Houseful
Alto Software Group is an exceptional employer that fosters a dynamic work culture, blending the agility of a startup with the stability of an established company. With a strong focus on employee growth, we offer numerous career development opportunities, flexible working arrangements, and a supportive environment that values diversity and collaboration. Our London HQ provides a vibrant setting for innovation, complemented by generous benefits such as enhanced parental leave, wellness initiatives, and a commitment to work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Data Platform Engineering Manager (AWS, Databricks) in London
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your hands-on experience with Python and AWS. We want to see how you tackle real-world problems!
✨Tip Number 3
Show off your passion for data engineering! Share projects or insights on social media or blogs. It’s a great way to demonstrate your expertise and enthusiasm.
✨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, we love seeing candidates who take that extra step.
We think you need these skills to ace Data Platform Engineering Manager (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, Terraform, and data platforms like Databricks. We love seeing how your skills align with what we're looking for!
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so make it easy for us to see your qualifications and how they fit the role without wading through unnecessary fluff.
Apply Through Our Website:Don't forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can't wait to hear from you!
How to prepare for a job interview at Houseful
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially AWS, Databricks, and Terraform. Brush up on your Python skills too, as you'll need to demonstrate your hands-on engineering capabilities during the interview.
✨Showcase Your Leadership Style
Since this role involves managing a team, be prepared to discuss your approach to leadership. Share examples of how you've guided engineers in the past, focusing on coaching, performance management, and fostering a collaborative environment.
✨Prepare for Technical Discussions
Expect to engage in technical conversations about data platform infrastructure and event-driven data flows. Be ready to explain complex concepts in simple terms, showcasing your ability to communicate effectively with both technical and non-technical stakeholders.
✨Demonstrate Your Problem-Solving Skills
Alto Software Group values pragmatic problem solvers. Prepare to discuss specific challenges you've faced in previous roles and how you navigated ambiguity to find effective solutions. Highlight your adaptability and willingness to learn new technologies.
