Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Engineer

Snowplow Analytics Limited
London
5 days ago
Create job alert
Overview

Alongside this, you\'ll work on the foundational components that continue to make Snowplow powerful and flexible for data teams: developing and maintaining dbt packages that help customers accelerate their time to insight. This is a role for someone who enjoys bridging data collection, transformation through SQL-based models, and high-level intelligence - enabling real-time pipelines that support analytics, personalization, and emerging agentic experiences.

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 optimizing real-time and batch data pipelines that power personalization, recommendation engines, and predictive models - from streaming ingestion and transformation using Benthos, to materializing features for agentic use cases and customer-facing AI systems.
  • 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, focusing on scalability, performance and maintainability, and developing in-depth understanding of cloud data warehouses and common web and mobile analytics use cases. SQL and DBT are your thing. You master SQL, including manipulation of large data sets, performance tuning, etc.
  • You\'re adept with both batch and streaming data processing. You have experience building streaming pipelines using tools like Benthos, enabling real-time data ingestion, transformation, and delivery across various systems.
  • You understand feature engineering and management. You\'re familiar with tools like Feast for defining, materializing, and serving features in both real-time and batch contexts.
  • You have extensive experience using Python which is used for auto generating data models.
  • You are not new to engineering. You use CI/CD, and Git source control as part of your daily job. You have experience with testing frameworks.
  • You are a proactive learner. Eager to expand on your software engineering knowledge and adapt to new technologies essential for automating models and advancing our engineering practices.
  • 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)
  • You document and communicate clearly. Some experience with technical content writing would be a plus
  • You are excited to work autonomously. You are able to drive technical initiatives from discovery until to the delivery phase
  • 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
About Snowplow

Snowplow is the global leader in customer data infrastructure for AI, enabling every organization to transform raw behavioral data into governed, high-fidelity fuel for AI-powered applications - including advanced analytics, real-time personalization engines, and AI agents.

Digital-first companies like Strava, HelloFresh, Auto Trader, Burberry, and DPG Media use Snowplow to collect and process event-level data in real time, delivering it securely to their warehouse, lake, or stream, and integrate deep customer context into their applications. Thousands of companies rely on Snowplow to uncover customer insights, predict customer behaviors, hyper-personalize customer experiences, and detect fraud in real time.

The Opportunity

You\'ll be joining the AI team at an exciting moment, as our team is leading the charge in building Snowplow Signals - our new solution for enabling real-time, AI-powered customer experiences. Your work will contribute to the infrastructure that powers these capabilities, unlocking value from behavioral data in real time.

Benefits
  • A competitive package, including share options
  • Flexible working
  • A generous holiday allowance no matter where you are in the world
  • MacBook and home office equipment allowance
  • Enhanced maternity, paternity, shared parental and adoption leave
  • Snowplow 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.


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

The Best Free Tools & Platforms to Practise Data Science Skills in 2025/26

Data science continues to be one of the most exciting, high-growth career paths in the UK and worldwide. From predicting customer behaviour to detecting fraud and driving healthcare innovations, data scientists are at the forefront of digital transformation. But breaking into the field isn’t just about having a degree. Employers are looking for candidates who can demonstrate practical data science skills — analysing datasets, building machine learning models, and presenting insights that solve real business problems. The best part? You don’t need to spend thousands on premium courses or expensive software. There are dozens of high-quality, free tools and platforms that allow you to practise data science in 2025. This guide explores the best ones to help you learn, experiment, and build portfolio-ready projects.

Top 10 Skills in Data Science According to LinkedIn & Indeed Job Postings

Data science isn’t just a buzzword — it’s the engine powering innovation in sectors across the UK, from finance and healthcare to retail and public policy. As organisations strive to turn data into insight and action, the need for well-rounded data scientists is surging. But what precise skills are employers demanding right now? Drawing on trends seen in LinkedIn and Indeed job ads, this article reveals the Top 10 data science skills sought by UK employers in 2025. You’ll get guidance on showcasing these in your CV, acing interviews, and building proof of your capabilities.

The Future of Data Science Jobs: Careers That Don’t Exist Yet

Data science has rapidly evolved into one of the most important disciplines of the 21st century. Once a niche field combining elements of statistics and computer science, it is now at the heart of decision-making across industries. Businesses, governments, and charities rely on data scientists to uncover insights, forecast trends, and build predictive models that shape strategy. In the UK, data science has become central to economic growth. From the NHS using data to improve patient outcomes to financial institutions modelling risk, the applications are endless. The UK’s thriving tech hubs in London, Cambridge, and Manchester are creating high demand for data talent, with salaries often outpacing other technology roles. Yet despite its current importance, data science is still in its infancy. Advances in artificial intelligence, quantum computing, automation, and ethics will transform what data scientists do. Many of the most vital data science jobs of the next two decades don’t exist yet. This article explores why new careers are emerging, the roles likely to appear, how current jobs will evolve, why the UK is well positioned, and how professionals can prepare now.