Analytics Engineer at Cleo

  • Anywhere (100% Remote) Only
  • Cleo
Job Description:

About the role:

As Cleo’s first Analytics Engineer you will develop and maintain data models that will be the backbone for reporting and amplify the productivity of our analysts. You will create best in class practices around data modelling, testing and cataloging. As Cleo grows rapidly towards 100M worldwide users, you will take the lead on ensuring we can move fast, make data driven decisions and enable self serve data exploration. We have a flat and open engineering culture where data and evidence beats opinion and hierarchy. We passionately believe in forming autonomous, cross functional teams who are empowered to deliver our ambitious strategy. You’ll work alongside our engineering team to help us collect, transform, store, and serve data across the company. You’ll also work closely with the analytics team here at Cleo; as well as across the business to provide training and guidance on how to utilise our data.

Responsibilities:

  • Creating and owning the data models in our Redshift data warehouse
  • Managing our ELT pipelines that feed reporting systems and analytical teams
  • Applying software engineering best practice to our data environment (e.g. testing and version control)
  • Work with various business and engineering teams to ensure reliable, scalable, robust architecture for our data platform
  • Work with the engineering team to ensure application design accommodates reporting and analytics requirements
  • Supporting product analysts with automation, tooling, data pipelines and data engineering expertise

About you:

  • 5+ years of software engineering experience with a focus on data
  • Extensive experience modelling data to amplify productivity using tooling such as dbt
  • Experience with data warehousing solutions such as Snowflake, Redshift, or similar managed solutions
  • Experience programming in one or more general purpose programming languages, with a preference for Python
  • Experience with ETL tools such as Stitch, AWS Glue, Google Dataflow, or Apache Spark Solid SQL experience (PostgreSQL preferred). You can not only interact with a database but design new schemata
  • Commercial experience working AWS technologies such as EC2, S3, EMR and Redshift Best practices around data quality, documentation, and governance Experience with defining and creating reporting layers for visualization tools

What do you get for all your hard work?

  • An above market compensation package (Base + Equity). We’re prepared to pay for the very best
  • Work at one of the fastest growing tech startups anywhere in the world who are backed by top VC firm, Balderton
  • The team is exceptional. You’ll get to work with brilliantly forward-thinking and dedicated individuals every day
  • Our mission is standout. We want to radically improve everyone’s relationship with money. We’re not maximising the time consumers spend in a feed, getting fast food delivered, or building an incrementally better bank. We’re changing an industry in a visceral way, which you get to see every day in our customer feedback

Company Benefits

  • 25 days annual leave a year + public holidays (+ an additional day for every year - you spend at Cleo)
  • 401k matching in the US and 6% employer-matched pension in the UK
  • 2 months paid sabbatical after 4 years at Cleo!
  • Early finish every Friday
  • Online courses & internal training to level up your skills
  • Regular socials and activities, online and in-person
  • Online mental health support via Spill
  • Access to Pushfar - online platform for external mentorship And many more!

Interview Process

  • Recruiter call: 30 minutes
  • Technical discussion with engineers: 30 minutes
  • Coding interview: 2 hours
  • Meet the (wider) team & engineering leadership interview: 1 hour

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