Overview

Analytics Engineer role at Blink - Employee Experience Platform. You will bridge data infrastructure and analytics, turning raw data into trusted, well-modelled datasets that power decision-making. Initially you may own end-to-end responsibilities, with a plan to grow a team around you in a scaleup environment.

We’re a fast-growing company on a big mission: to unlock the potential of every person, team, and organization. Our analytics aim to be a core driver of decision-making, turning customer data into actionable insights across employee engagement, turnover, surveys, shift booking, and payslips through our all-in-one app.

Key Responsibilities

• Build, maintain, and optimize data transformations, models, and pipelines in dbt (or equivalent) with testing, documentation, and version control
• Define, own, and monitor business metrics and models (e.g. dimension tables, slowly changing dimensions, aggregates)
• Collaborate with analysts, BI users, data scientists, and business stakeholders to translate data requirements into reliable data products (tables, views, metrics)
• Ensure data quality, consistency, and observability (tests, monitoring, alerting)
• Optimize SQL queries and transformations for performance in the data warehouse / lakehouse
• Support or own CI/CD workflows around analytics (e.g. git, reviews, deployment of transformation code)
• Build or maintain upstream data pipelines or ingestion processes when required

Requirements

• Strong proficiency in SQL - writing and optimizing complex queries, joins, window functions, performance tuning
• Experience with dbt (or equivalent) - building models, tests, documentation, version control
• Understanding of data warehousing concepts (star schemas, snowflake, slowly changing dimensions, partitioning, clustering)
• Experience in a modern data stack (e.g. BigQuery, Snowflake, Redshift, Databricks, etc.)
• Comfortable working downstream (with BI/analytics users) and upstream (pipelines, ingestion) contexts
• Familiarity with BI tools (Thoughtspot, Power BI)
• Proficient in Python
• Solid software engineering skills, including version control, testing, and CI/CD
• Versatile and adaptable - able to work across the stack and learn new tools quickly
• Strong communication with technical and non-technical stakeholders
• Experience in a lean or startup environment is a plus

Benefits

• Competitive salary and equity
• Office in London with natural light
• 25 days off per year (plus public holidays)
• Learning & development focus with mentorship options
• Private healthcare, Ride2Work, pension scheme

At Blink, we’re committed to an inclusive and diverse culture with fair and equal consideration for all applications.