About us: 

Luno is the crypto investment app you can rely on, enabling you to buy, store and explore crypto securely. We’re committed to putting the power of cryptocurrency in everyone's hands sensibly and responsibly.

Since 2013, we’ve helped millions of people around the world invest safely in crypto. We do this by cutting through the hype and supporting customers at every step of the way. All products and cryptocurrencies on our platform must first meet stringent legal, risk and technical security standards. We don’t do memecoins.

Transparency is key for us. Luno stores all crypto on a 1:1 basis and we have rigorous processes in place so you can be confident your investment is secure. We’re available in more than 40 countries around the world and we work closely with respective regulators in all of these markets to be fully compliant, as we believe this is the best way to help everyone, everywhere, invest safely.

About the team:   

The Data community at Luno, comprising Data Engineers, Scientists, and Analysts, uncovers valuable insights from the vast amounts of data we gather from our customers and platform. These insights are crucial for guiding our product development and business strategy.

As a Senior Analytics Data Engineer at Luno, you would be part of the Business Insights Team. Our focus is to provide the business with trusted, timely and accurate data for reporting and business insights. Our current technology stack includes Databricks and Looker. 

The role in a nutshell:

Our end goal as a team is to enable the business to drive data informed decisions across all facets of the business. Your role will involve designing, building, and maintaining our analytical warehouse to facilitate trusted product and enterprise reporting solutions, self-service and deliver compelling stories through dashboarding.

Your mission will be:

An analytics engineer acts as a link between data engineers and data analysts/scientists. 

Responsibilities will include:

• Collaborate with data scientists, platform data engineers, data analysts and business to collect business requirements
• Determine the data needed to address the business needs and formulate the business requirements into analytical objectives
• Design data models using the principles of Dimensional data modelling
• Build the analytical warehouse with the appropriate dims and facts tables 
• Provide guidance and mentorship to team members including code reviews 
• Ensure that all data pipelines are automated and scalable
• Develop and maintain the high standards and best practices including but not limited to data governance, code reviews, release management, version control etc
• Ensure that our data catalogue, business glossary and other relevant documentation is updated regularly, allowing for improved self-service capabilities and trust in our data and reporting.
• Provide insights and recommendations to the other data team and business stakeholders

A little about you:

• You are passionate about data analytics and related disciplines
• You are proficient in designing and implementing complex analytical solutions
• An expert in dimensional data modeling and database management
• Extensive experience using ETL/ELT tools and techniques
• You are intellectually curious and have the persistence to find answers to difficult questions/problems 
• You have strong leadership experience and engages in strategic conversations 
• You have strong interpersonal and communication skills
• You are a team player, enthusiastic about growing and developing others
• You can handle uncertain and ambiguous scenarios
• You keep abreast of developments and emerging trends in data

The ideal Lunaut will have:

• Bachelor's degree or higher in the natural sciences or technical fields such as Mathematics, Statistics, Computer Science, Information Technology, Engineering or Economics
• Proven experience as an Analytical Data Engineer, Data Engineer or similar role, minimum 4 years.
• Experience working with Databricks
• Exploratory data analysis and/or optimisation skills 
• Advanced SQL skills and experience with relational databases
• Strong interpersonal and communication skills
• Demonstrate leadership skills and the ability to mentor and guide other team members
• Familiarity with industry best practices in data engineering and analytics
• Ability to explain data concepts to non-experts in a clear, and structured manner
• Ability to work independently, as well as within and across multi-disciplinary teams
• Ability to successfully complete projects with large and/or incomplete data sets
• Enthusiasm to work in the crypto industry
• Adaptable and capable of working in fast-paced environments
• Great analytical, critical thinking and problem-solving abilities

What will really get you noticed:

• At least 5 year’s experience working in a similar role
• Experience working with business intelligence platform (Looker, Qlik or others)
• Solid understanding of ELT processes, database design and data modelling techniques
• Experience with designing and implementing analytical data warehouse solutions within a data lake architecture

Our tech stack:

• Programming Languages: GoLang, Python, SQL
• IaC Tooling: Terraform
• Databases: MySQL, Redshift
• Data Platforms: Databricks, Looker, mParticle
• Cloud Platforms: AWS

Life at Luno:

• Forward-thinking and ambitious team that values diversity, hard work, and the continuous quest for excellence.
• Remote but reachable work policy gives you the freedom to choose between working from home or the office.
• Improve body and mind, with excellent private medical insurance. 
• Access to Learnerbly and Code Academy
• Generous maternity / paternity and even paw-ternity for your furry friend.
• Annual Inspiration Day.
• A collaborative, friendly work community, with regular social events
• Free lunch and snacks.
• 0 fees with Luno from the day you start.*

*Offer only available on Luno Instant Buy, not Luno Exchange

We are an equal opportunity employer and value diversity at our company. We do not negatively discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.