At a Glance
- Tasks: Transform raw data into analytics-ready datasets and build impactful dashboards.
- Company: Join Moneyfarm, a leading fintech company shaping the future of wealth management.
- Benefits: Flexible working policy, competitive salary, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on knowledge sharing and best practices.
- Why this job: Make a real impact on regulatory reporting and operational decision-making in a dynamic environment.
- Qualifications: 2+ years in data analytics, proficiency in SQL, and experience with BI tools.
The predicted salary is between 50000 - 65000 € per year.
About the Role
Are you excited to influence how Moneyfarm's organization looks at regulatory reporting and operational decision making? Are you ready to deploy models on Redshift + Airflow + DBT and build clean data tools on Tableau and Metabase? If you are a builder with a tilt for future‑proof solutions, we want to hear from you.
Responsibilities
- Develop a profound understanding of Moneyfarm business and functional needs
- Transform raw production grade data into well structured, analytics‑ready datasets
- Design, deploy, test and maintain scalable data models in DBT, ensuring quality, performance and auditability
- Translate complex business and regulatory requirements into robust data solutions
- Enable multiple stakeholders (Operations, Compliance, AML, Product, Engineering) to successfully interact with clean, meaningful and purposeful data
- Design, deploy, test and maintain automated reports, dashboards and data tools
- Work closely with both Data Engineering and Data Analytics departments
- Apply software engineering best practices to analytics code (e.g., testing, version control, CI/CD)
- Bring positive impact to Moneyfarm data culture by sharing knowledge and promoting best practices
Requirements
- 2+ years of relevant work experience in data analytics or engineering roles
- BSc or higher degree in Engineering, Computer Science, Data Science, Statistics or related discipline
- Experience in fintech / wealth management
- Proficiency in SQL and DBT
- Theoretical and practical knowledge of data modelling principles and best practices
- Experience with Airflow or similar orchestrators, Python
- Experience with BI and reporting tools (Tableau, Metabase, Looker)
- Experience with cloud data warehouses (Redshift, BigQuery)
- Excellent written and verbal communication skills, also with non‑technical stakeholders
- Ability to work autonomously interacting with multiple stakeholders
- Comfortable working in iterative environments balancing quality and delivery
- Fluency in English is essential (most stakeholders are UK based)
Location and Working Policy
This role can be based in our offices in Milan, London or Cagliari. Our smart working policy requires 2+ days of in‑office presence per week.
EEO Statement
Candidates who belong to 'Categoria protetta' (Legge 68/99) are welcome.
Analytics Engineer - Application Platform in London employer: Moneyfarm
At Moneyfarm, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our commitment to employee growth is evident through continuous learning opportunities and the chance to work with cutting-edge technologies in a dynamic fintech environment. With offices in vibrant locations like Milan, London, and Cagliari, we offer a flexible working policy that promotes a healthy work-life balance while empowering our team to make a meaningful impact in the world of regulatory reporting and operational decision-making.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineer - Application Platform in London
✨Tip Number 1
Get to know Moneyfarm inside out! Research their values, mission, and recent projects. This will help you tailor your conversations and show that you're genuinely interested in being part of the team.
✨Tip Number 2
Network like a pro! Connect with current employees on LinkedIn or attend industry events. Building relationships can give you insider info and might even lead to a referral, which is always a bonus!
✨Tip Number 3
Prepare for those technical interviews! Brush up on your SQL, DBT, and data modelling principles. Practising common interview questions related to analytics engineering will help you feel more confident when it’s your turn to shine.
✨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 proactive and really keen on joining the Moneyfarm family.
We think you need these skills to ace Analytics Engineer - Application Platform in London
Some tips for your application 🫡
Show Your Passion for Data:When you're writing your application, let your enthusiasm for data analytics shine through! We love candidates who are genuinely excited about transforming raw data into meaningful insights, so share your experiences and what drives you in this field.
Tailor Your Application:Make sure to customise your CV and cover letter to highlight the skills and experiences that align with our job description. We want to see how your background in SQL, DBT, and BI tools like Tableau or Metabase makes you a perfect fit for the Analytics Engineer role.
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on communicating your relevant experience and skills effectively. Remember, we want to understand your journey and how it relates to us!
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. Plus, it shows you’re keen on joining our team at Moneyfarm!
How to prepare for a job interview at Moneyfarm
✨Know Your Data Inside Out
Before the interview, dive deep into Moneyfarm's business model and how data plays a role in regulatory reporting and operational decision-making. Familiarise yourself with their use of Redshift, Airflow, and DBT, as well as how they leverage Tableau and Metabase for reporting.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL, DBT, and data modelling principles. Bring examples of past projects where you transformed raw data into analytics-ready datasets, and be ready to explain your approach to designing and maintaining scalable data models.
✨Communicate Clearly with Non-Technical Stakeholders
Since you'll be interacting with various stakeholders, practice explaining complex technical concepts in simple terms. Think of examples where you've successfully communicated data insights to non-technical teams, highlighting your excellent verbal and written communication skills.
✨Emphasise Collaboration and Best Practices
Moneyfarm values a strong data culture, so be ready to discuss how you've shared knowledge and promoted best practices in previous roles. Highlight your experience working autonomously while collaborating with Data Engineering and Data Analytics teams to deliver quality solutions.
