Analytics Engineer

We’re a fast-growing company on a big mission: to unlock the potential of every person, team, and organization on the planet.

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 offers an all-in-one solution for frontline workers, allowing 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 optimizing 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 optimize 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 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 working 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 (we use Thoughtspot 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.

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! Shape the direction of data engineering at Blink from the ground up. Work in a lean, collaborative team with high autonomy and impact, helping to unlock the value of unique, high-quality datasets.

💰 Benefits include:

• Competitive salary – and equity in the company.
• A quirky, spacious, natural light-filled office in London.
• 25 days a year off (plus public holidays!)
• Learning & development focus, plus mentorship options. We’ll do everything we can to get you to the top of your game.
• Private healthcare, Ride2Work, pension scheme.

At Blink, we're committed to creating an inclusive and diverse culture where our people feel they truly belong. We value and respect individual differences, so all applications will receive fair and equal consideration without regard to ethnicity, religion, gender, gender identity or expression, sexual orientation, nationality, disability or age.