Senior Data Engineer

Job not on LinkedIn

🕒 April 28

🏢🏡 London – Hybrid

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Logo of Blink - The Frontline Experts

Blink - The Frontline Experts

WebsiteLinkedIn

51 - 200 employees

Founded 2019

☁️ SaaS

🏢 Enterprise

👥 HR Tech

SaaS • Enterprise • HR Tech

Blink - The Frontline Experts is a leading provider of mobile-first employee experience platforms designed to enhance employee communications, engagement, and intelligence. The platform connects organizations digitally by offering secure internal communications, streamlined digital access, and robust employee analytics. Recognized by Gartner Peer Insights for excellence in employee communications, Blink serves various industries including healthcare, transit, manufacturing, and retail, among others. Their tools help companies improve employee engagement, retention, and overall productivity by providing a unified system for internal communications and collaboration.

📋 Description

• 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 • 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

🎯 Requirements

• 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

• 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.

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