Analytics Engineer - Application Platform at Moneyfarm

Cagliari, Sardinia, Italy -

Full Time

Start Date

Immediate

Expiry Date

01 Jun, 26

Salary

0.0

Posted On

03 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, DBT, Airflow, Python, Tableau, Metabase, Looker, Redshift, Big Query, Data Modelling, Testing, Version Control, CI/CD, Communication, Autonomy

Industry

Financial Services

Description

Who we are: We are a rapidly growing pan-European digital wealth manager, serving over 167,000 active investors with more than £5.5 billion invested on our platform. We began in Milan in 2011 with the purpose to help more people improve their financial well-being by making personal investing simple and accessible through technology. Fast forward to today, and we are recognised as one of the most innovative fintechs, headquartered in the heart of London. With a team of 220+ people across 4 offices in Italy and the UK, we are proudly backed and funded by major partners including Poste Italiane, Cabot Square Capital, United Ventures, and Allianz. Our vision Our vision is to combine passion, expertise, and technology to provide best-in-class investment solutions and advice that protects and grows client wealth over time. Our Core Values: We’ve built our business on three Principles: Relationships are our first asset: We’re one team, built on trust, honesty, and transparency. We value our relationships above all else. Trust drives success: We give each other the space to grow. We empower our employees to succeed, so they can make a real impact. Our customers dream big, just like us: We see the bigger picture and we make sure our customers see it, too. We’re always focused on the best outcomes for our clients and for each other, no matter what the goal, or how big the dream What this means in practice: At Moneyfarm, our success comes from the impact each of us makes. We move with purpose, urgency, and ambition, focused on delivering outcomes that matter for our clients and our business. Everyone is empowered to take ownership, challenge the status quo, and turn bold ideas into results. As we evolve, we embrace AI as a catalyst for sharper thinking, smarter decisions, and even greater impact. Our diversity makes this possible. Different perspectives, backgrounds, and experiences fuel our creativity and drive better decisions — it’s our competitive edge. We value people for who they are and their unique strengths: that's why we offer flexible ways of working to support them in doing their best work. Candidates who belong to 'Categoria protetta' (Legge 68/99) are more than welcome! 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. Background ~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 Skills 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, Big Query). Excellent written and verbal communications 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). 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. For this role, please upload your CV in English.

Responsibilities

The role involves transforming raw production data into analytics-ready datasets, designing, deploying, and maintaining scalable data models using DBT, and enabling stakeholders to interact with clean data. Responsibilities also include designing and deploying automated reports, dashboards, and data tools while applying software engineering best practices.