Senior Data Engineer

Location: London, England, United Kingdom

Department: PE: Product Engineering

Workplace: hybrid

Description

🌍 London (in office 3 days/ week)
🤝 Product and Engineering
💚 Reporting to our CISO

We're not just closing the digital divide; we're reconnecting distributed organisations, enabling seamless communication, and re-engaging employees like never before. Blink, a mobile-first employee experience platform, puts everything employees need right in their hands. With teams in Boston, London, and Sydney, we're making waves worldwide, partnering with industry leaders like Domino's, JD Sports and McDonald's.

Data plays a critical role in how we build, operate and scale the platform — from powering internal insights to enabling Blink IQ, our customer-facing analytics product.

We’re looking for a Senior Data Engineer to help shape and scale Blink’s data platform as we continue to grow.

The Role

You will be one of the first dedicated hires in our data function, helping establish the foundations of Blink’s data platform and engineering practices.

Your focus will be on the infrastructure and platform layer — building and maintaining data ingestion pipelines, improving reliability and enabling scalable analytics across the business and our customer-facing products.

This is a hands-on role with significant influence over how the platform evolves. You will help modernise parts of our stack, improve performance and reliability, and support the development of Blink IQ 2.0, our customer-facing analytics product.

You’ll work closely with engineering, DevOps and stakeholders across the business, and help shape how the wider data function grows over time.

What You’ll Do

⚙️ Build and evolve the data platform

• Own and improve data ingestion pipelines across our stack
• Design and implement orchestration for data workflows
• Productionise data processes and ensure they run reliably at scale

🛠 Improve platform reliability and engineering standards

• Establish CI/CD practices across the data platform
• Build monitoring, alerting and data quality checks
• Improve observability across pipelines and workflows

📊 Support analytics and product insights

• Contribute to the development of Blink IQ 2.0, our customer-facing analytics product
• Help ensure data is reliable, scalable and accessible across the organisation
• Support analytics and reporting needs across teams

🤝 Collaborate across engineering and the business

• Work with DevOps on shared infrastructure and deployment practices
• Support ad-hoc data needs and help stakeholders access reliable insights
• Contribute to architectural decisions as the data platform evolves

Requirements

What We’re Looking For

• Strong SQL skills, including performance optimisation and complex queries
• Experience building and maintaining data pipelines at scale
• Experience with a modern data stack (e.g. Snowflake, dbt, Fivetran, Debezium or similar)
• Experience with orchestration tools such as Airflow, Dagster or Prefect
• Proficiency in Python for building production data workflows
• Familiarity with data warehousing concepts and modelling patterns
• Experience working with cloud platforms and infrastructure tooling
• Comfortable working across the stack — from ingestion through to analytics use cases
• Strong communication skills and ability to collaborate with technical and non-technical teams

Startup or scale-up experience is a plus.

Benefits

💚 Why Blink?

You will have the opportunity to be part of something impactful, large-scale, and meaningful.

Most importantly, you’ll work for a company with a strong purpose, with an ambitious and supportive team embarking on a journey most start-ups can only dream of!

Benefits include:

• Competitive salary.
• Stock options on starting and additional high performer grants annually! 
• 25 days’ leave + public holidays.
• Additional time off between Christmas and New Year.
• Private healthcare with AXA.
• 3% employer pension contribution when you contribute 5%.
• Cycle to Work scheme.
• Social events ( lunches, breakfasts, nights out).
• Enhanced parental leave.