Analytics Engineer

Join to apply for the Analytics Engineer role at Blink - Employee Experience Platform
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Location:

London (Old Street office, 3 days/week)

🌍 Join a high-growth, mission-driven tech company that's transforming the future of work.

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Reports to:

CISO.

💵 £75-£95k + equity.

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 such as Domino's, JD Sports, and McDonald's.

We're passionate about data being at the core of our decision-making process. After seeing the impact our analytics have had on customers, we know they feel the same. We're now on a mission to make our customer analytics capabilities a successful revenue stream at Blink! Our app allows us to collect data on everything from employee engagement and turnover to survey results, shift booking, and payslips.

This potential to transform both our own and our customers' decisions makes analytics at Blink an incredibly exciting opportunity!

As our first dedicated data engineer, you will be the bridge between data infrastructure and analytics. You'll own how raw data is turned into trusted, well-modelled datasets that power decision-making. This means building and optimising dbt models, defining core business metrics, establishing data quality standards and collaborating closely with our BI team and stakeholders.

Initially, it’s likely you’ll own these things end-to-end, but over time we’ll build a team around you. While your focus is the modelling layer, this is a scaleup environment and you’ll need to be versatile – comfortable influencing upstream data design and pragmatically solving problems across the data stack.

• Build, maintain, and optimise data transformations, models, and pipelines in dbt (or equivalent) – including 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 your data warehouse / lakehouse environment
• 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

• Strong proficiency in SQL – writing and optimising 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 working in a modern data stack (e.g. Big Query, Snowflake, Redshift, Databricks, etc.)
• Comfortable working downstream (with BI/analytics users) and upstream (pipelines, ingestion) contexts
• Familiarity with BI tools (we use Thought Spot and Power BI)
• Proficient in Python
• Solid software engineering skills, including version control, testing, and CI/CD
• Versatile and adaptable – comfortable working across the stack and able to rapidly learn new tools and solve novel problems
• You are a great communicator, equally comfortable engaging with technical and non‑technical stakeholders
• Experience in a lean or startup environment is a plus

• Competitive salary
• Stock options on start‑up 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

At Blink, we’re committed to building an inclusive and diverse culture where everyone feels they truly belong. We value individual differences and welcome applicants from all backgrounds.