Snowplow Analytics
Analytics Engineer
Job Description
Analytics Engineer
London / Europe – Hybrid / Fully Remote
About Snowplow:
Snowplow, the leader in next-generation customer data infrastructure (CDI), empowers data-driven organizations to own and unlock the full potential of their customer behavioral data.
The Snowplow platform fuels AI, advanced analytics, and personalized experiences by enabling companies like Burberry, Strava, and AutoTrader to collect, manage, and operationalize real-time event data from their central data platform of choice. This empowers analytics, data science, product, and marketing teams to gain deeper insights into customer journeys, predict behaviors, deliver unique customer experiences, and detect fraud.
With thousands of companies relying on Snowplow worldwide, we are at the forefront of transforming how data-driven organizations leverage their customer behavioral data.
Following our $40 million Series B funding led by global venture capital firm NEA, known for investments in Databricks, MongoDB, and Elastic, we are seeking creative and innovative individuals to help us shape the future of Snowplow.
The Opportunity:
We are looking for an Analytics Engineer (sometimes called a BI Engineer or Data Analyst) to join our Engineering team. The team you will be joining is focused on the technologies that our customers and community use to collect data (our trackers and webhook integrations) and prepare it for their various use cases (our SQL data models) and integration into our emerging suite of first-class Data Applications.
You will be joining a wider team of 30+ remote engineers who work closely with our product, support, and customer teams. There is a huge opportunity to learn more about all aspects of engineering and data, from code to customers. Your work with Snowplow will be improving the experience of thousands of data teams worldwide.
What you’ll be doing:
● Developing and maintaining a suite of production SQL data models used by our customer base and the community. Primarily focusing on dbt for packaging and execution.● Building out our offering around data modeling. You won’t just work on the data models themselves – you’ll work closely with Product and the wider Engineering team to shape the way we collect data via our trackers to build better data models, and drive what data model tooling we provide as part of our commercial offering as well. ● Building and maintaining Data Apps. With the help of Python and different frameworks like Streamlit you will be building data apps that will leverage data models to directly impact our customers’ experience.● Supporting our prospect/customer facing teams by showcasing the possibilities with Snowplow data, such as powering personalisation and recommendation systems, or developing advanced models (marketing attribution, lifetime value, etc.). ● Being an active part in decision making on what we build to help our customers get more value out of Snowplow, and how we deliver it. You’ll bring a different perspective and we’ll want your input! ● Responsible for developing and productizing data models and data apps, focusing on scalability, performance and maintainability, and developing in-depth understanding of cloud data warehouses and common web and mobile analytics use cases. This is an area of growing focus at Snowplow; you will have the opportunity to work alongside our Product team on defining how our data modeling offering will evolve over time.
We’d love to hear from you if:
● SQL and DBT are your thing. You have expertise in SQL, including manipulation of large data sets, performance tuning, etc ● You’re familiar with cloud technologies. You have experience working with data in a cloud data warehouse (Redshift, Snowflake, Databricks, or BigQuery)● Experience with a modern data modeling technology (DBT) and BI tool (Looker, Tableau, etc.) would be a plus● You are not new to engineering. You have experience using Python, CI/CD, and Git source control. Any experience with testing frameworks would be a plus● You document and communicate clearly. Some experience with technical content writing would be a plus● You are excited to work autonomously. You can drive toward a high-level goal and recognise when you need support or more direction● You know we can’t do everything today. You’ll be pragmatic and balance our speed of delivery with our commitment to providing a reliable and trusted service to customers● You want to join a remote team that depends on expert collaborators to work effectively. You’ll be a great communicator and enjoy working closely with the team
What you get in return for being awesome: 💰 A competitive package, including share options🧘 Flexible working🏖️ A generous holiday allowance no matter where you are in the world🫂 Mental health support including therapy sessions 💻 MacBook and home office equipment allowance🫶 1 week of volunteering a year for a cause you feel passionate about👪 Enhanced Family leaveSnowplow is dedicated to building and supporting a brilliant, diverse and hugely inclusive team. We don’t discriminate against gender, race, religion or belief, disability, age, marital status or sexual orientation. Whatever your background may be, we welcome anyone with talent, drive and emotional intelligence.
London / Europe – Hybrid / Fully Remote
About Snowplow:
Snowplow, the leader in next-generation customer data infrastructure (CDI), empowers data-driven organizations to own and unlock the full potential of their customer behavioral data.
The Snowplow platform fuels AI, advanced analytics, and personalized experiences by enabling companies like Burberry, Strava, and AutoTrader to collect, manage, and operationalize real-time event data from their central data platform of choice. This empowers analytics, data science, product, and marketing teams to gain deeper insights into customer journeys, predict behaviors, deliver unique customer experiences, and detect fraud.
With thousands of companies relying on Snowplow worldwide, we are at the forefront of transforming how data-driven organizations leverage their customer behavioral data.
Following our $40 million Series B funding led by global venture capital firm NEA, known for investments in Databricks, MongoDB, and Elastic, we are seeking creative and innovative individuals to help us shape the future of Snowplow.
The Opportunity:
We are looking for an Analytics Engineer (sometimes called a BI Engineer or Data Analyst) to join our Engineering team. The team you will be joining is focused on the technologies that our customers and community use to collect data (our trackers and webhook integrations) and prepare it for their various use cases (our SQL data models) and integration into our emerging suite of first-class Data Applications.
You will be joining a wider team of 30+ remote engineers who work closely with our product, support, and customer teams. There is a huge opportunity to learn more about all aspects of engineering and data, from code to customers. Your work with Snowplow will be improving the experience of thousands of data teams worldwide.
What you’ll be doing:
● Developing and maintaining a suite of production SQL data models used by our customer base and the community. Primarily focusing on dbt for packaging and execution.● Building out our offering around data modeling. You won’t just work on the data models themselves – you’ll work closely with Product and the wider Engineering team to shape the way we collect data via our trackers to build better data models, and drive what data model tooling we provide as part of our commercial offering as well. ● Building and maintaining Data Apps. With the help of Python and different frameworks like Streamlit you will be building data apps that will leverage data models to directly impact our customers’ experience.● Supporting our prospect/customer facing teams by showcasing the possibilities with Snowplow data, such as powering personalisation and recommendation systems, or developing advanced models (marketing attribution, lifetime value, etc.). ● Being an active part in decision making on what we build to help our customers get more value out of Snowplow, and how we deliver it. You’ll bring a different perspective and we’ll want your input! ● Responsible for developing and productizing data models and data apps, focusing on scalability, performance and maintainability, and developing in-depth understanding of cloud data warehouses and common web and mobile analytics use cases. This is an area of growing focus at Snowplow; you will have the opportunity to work alongside our Product team on defining how our data modeling offering will evolve over time.
We’d love to hear from you if:
● SQL and DBT are your thing. You have expertise in SQL, including manipulation of large data sets, performance tuning, etc ● You’re familiar with cloud technologies. You have experience working with data in a cloud data warehouse (Redshift, Snowflake, Databricks, or BigQuery)● Experience with a modern data modeling technology (DBT) and BI tool (Looker, Tableau, etc.) would be a plus● You are not new to engineering. You have experience using Python, CI/CD, and Git source control. Any experience with testing frameworks would be a plus● You document and communicate clearly. Some experience with technical content writing would be a plus● You are excited to work autonomously. You can drive toward a high-level goal and recognise when you need support or more direction● You know we can’t do everything today. You’ll be pragmatic and balance our speed of delivery with our commitment to providing a reliable and trusted service to customers● You want to join a remote team that depends on expert collaborators to work effectively. You’ll be a great communicator and enjoy working closely with the team
What you get in return for being awesome: 💰 A competitive package, including share options🧘 Flexible working🏖️ A generous holiday allowance no matter where you are in the world🫂 Mental health support including therapy sessions 💻 MacBook and home office equipment allowance🫶 1 week of volunteering a year for a cause you feel passionate about👪 Enhanced Family leaveSnowplow is dedicated to building and supporting a brilliant, diverse and hugely inclusive team. We don’t discriminate against gender, race, religion or belief, disability, age, marital status or sexual orientation. Whatever your background may be, we welcome anyone with talent, drive and emotional intelligence.
