Similar Jobs
Digital Media • Gaming • Sports • Esports
As a Data Engineer, you'll maintain and configure the Snowflake data platform, design integration pipelines, and innovate with new tools. Your role supports data security and performance while collaborating across teams.
Top Skills:
AirflowAWSDbtPythonSnowflake
Information Technology • Software
The Data Engineer will design and build a data warehouse, optimize ETL/ELT processes, enhance Power BI reports, and train the internal team.
Top Skills:
AWSAzureEltETLGCPPower BISQL
Blockchain • Consulting
The Data Engineer will build and maintain data infrastructure, manage ETL platforms, ensure data quality, and mentor DevOps teams while collaborating cross-functionally.
Top Skills:
AWSCi/CdElasticsearchGCPJavaScriptKafkaKubernetesMongoDBPythonSnowflakeSQLTerraform
Data Engineer
London/Hybrid - UK/Remote
#LI-Remote
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.
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.
We’d love to hear from you if:
● 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
What We Offer You in Return:
💰 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.
Employment is conditional upon the successful completion of background screening and verification of right-to-work documentation in accordance with applicable laws.
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
