Senior Data Engineer

Blink

Greater London

Hybrid

GBP 90,000 - 130,000

Full time

14 days+

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Benefits offered by this job

Stock options on starting and high-per

25 days leave + holidays

Private healthcare with AXA

3% employer pension contribution

Job summary

Blink is hiring a Senior Data Engineer in London to help shape and scale Blink’s data platform. You will build and maintain data ingestion pipelines, improve reliability, and enable scalable analytics for internal teams and Blink IQ 2.0 customer-facing product.

You’ll work closely with engineering, DevOps and business stakeholders to evolve the data platform, establish CI/CD, and ensure data is accessible and trusted across the organization.

Qualifications

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.

Responsibilities

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

Skills

SQL

Data pipelines

Orchestration tools

Python

Data warehousing concepts

Cloud platforms

Communication skills

Tools

Snowflake

dbt

Fivetran

Debezium

Airflow

Dagster

Prefect

Job 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

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.

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: