Senior Analytics Engineer

Senior Analytics Engineer

Department: Data

Employment Type: Permanent - Full Time

Location: Budapest

Description

Senior Analytics Engineer 
Budapest 

At Freetrade, we believe investing should be accessible to everyone. It’s one of the best ways to grow your savings but, for many, it seems complicated, expensive, and out of reach. We’re here to change that.

We're a technology company that brings simple investing to everyone. We’ve built a beautiful app to buy and sell shares and ETFs in a fluid, mobile-first experience. We’re building a team with diverse and unique perspectives in order to help us on our mission to demystify investing. 

Our goal is to help our customers achieve better, long-term financial outcomes.

In 2024, we’ll be launching across the EU, following our successful launch in Sweden and our new office in Budapest.  We’ll also be transforming our product, developing new features and introducing new products. In the UK, we now have over 1.6m registered users, offering a range of products like the Freetrade Pension, a stocks and shares ISA, and our premium plan, Freetrade Plus. 

We are looking for an exceptional Analytics Engineer to join our team! You will be responsible for elevating our data warehouse and business intelligence capabilities whilst going deep into complex data modelling projects. You will join a growing central Data team, working with teams across the company, with the goal of enabling better data-driven decisions and efficiency gains. Our team contains specialists in Data Engineering, Analytics Engineering, and Data Science.

You will...

• Develop and maintain data models using dbt and SQL that are efficient, scalable, and reliable.
• Encourage self-service analytics and consistent, high-quality metrics by building and maintaining Looker explores and key dashboards. 
• Implement data quality monitoring and data validation throughout the data models you build to ensure high reliability.
• Collaborate with stakeholders at all levels of the business to understand their data needs and deliver solutions to meet them.
• Manage stakeholder expectations and communicate project status, risks, and issues efficiently.
• Maintain documentation, manage change and technical debt, and ensure that our stack can scale.
• Collaborate with other members of the Data team to continuously improve our stack and drive innovation

You have...

• Advanced SQL and (optionally) experience with Python.
• Experience building scalable, high-quality data models that serve complex business use cases.
• Knowledge of dbt and experience with cloud data warehouses (BigQuery, Snowflake, Databricks, Azure Synapse etc).
• Proficiency in building BI dashboards and self-service capabilities using tools like Tableau and Looker.
• Excellent communication skills and experience in managing stakeholder expectations across multiple verticals in the business.
• Strong analytical and problem-solving skills.
• Ability to work collaboratively with other data professionals, engineers, and business stakeholders.

Benefits

The application process consists of a 4 stage process. Following a phone interview with one of our internal Talent Specialists, you'll have interviews centred around your Technical abilities, The third and final interview will be with our two Co-Founders, to assess your alignment to our company Values and general fit.
We are an Equal Opportunity employer committed to a diverse and representative team. Whatever your race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability - we want to hear from you. We're very open about what we're working on, and the best places to learn more are our buzzing community forum and our blog.
To find out more about how we look after your personal data when you apply for a job with us, please see our Recruitment Privacy Policy here.
Please note we are not accepting agency CVs.
We offer a competitive salary plus stock options and lots of other benefits.

You’ll have a stake in the company you’re building, with stock options benchmarked to US companies.