At a Glance
- Tasks: Lead a team of data platform engineers and develop innovative software solutions.
- Company: Join Alto Software Group, a fast-growing B2B SaaS company transforming the housing market.
- Benefits: Enjoy hybrid work, 25 days annual leave, and opportunities for career growth.
- Other info: We value diversity and encourage applications from all backgrounds.
- Why this job: Be part of a dynamic team making a real impact in the housing industry.
- Qualifications: Experience in data engineering and a passion for learning new technologies.
The predicted salary is between 70000 - 90000 £ 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 management. We use Architectural Decision Records (ADRs) so teams can let others know what they are working on. You should be accustomed to operating with significant alignment and independence, and comfortable navigating technical and organisational uncertainty.
A platform mindset is essential — you take pride in building tools, templates, and paved roads that make other engineers’ lives easier, and you instil that same mindset in your team.
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
Data Platform Engineering Manager (AWS, Databricks) employer: Alto
Palo Alto Networks is an exceptional employer that fosters a culture of innovation and collaboration, where every employee's voice is valued. With a strong commitment to employee growth through immersive training programs like FLIGHT, team members are equipped to tackle real-world challenges in cybersecurity. The remote nature of the Major Account Manager role allows for flexibility while still enabling impactful contributions to a mission-driven company dedicated to protecting our digital way of life.
StudySmarter Expert Advice🤫
We think this is how you could land Data Platform Engineering Manager (AWS, Databricks)
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Alto!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Platform Engineering Manager (AWS, Databricks) at Alto.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Alto.
✨Apply Directly through Our Website
When you find a suitable opening like Data Platform Engineering Manager (AWS, Databricks) at Alto, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Platform Engineering Manager (AWS, Databricks)
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Alto, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Alto. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Alto
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Alto!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
