Data Engineer - Remote Eligible

Data Engineer Opportunity

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!

The Role

As our first dedicated Data Engineer, you'll have the opportunity to design and build the foundations of our modern data stack. You'll work closely with product engineers, analysts and stakeholders to integrate, model, and operationalise data from multiple sources, enabling both internal insight and customer-facing data products.

Key Responsibilities

• Shape the vision for our data stack and drive its evolution, leading design and implementation.
• Build and maintain data integrations from OLTP databases, behavioural analytics tools, and external sources.
• Define the strategy for migrating to dbt. Develop robust and maintainable transformations in to model data for analytics and product use cases.
• Optimise our Snowflake environment for performance and cost-efficiency.
• Partner with engineers and stakeholders to deliver both internal analytics and customer-facing data features.
• Support BI tool selection and adoption and ensure consistent, reliable reporting.
• Implement monitoring and alerting for data pipelines, and establish processes for ensuring data quality and integrity.
• Work with the DPO and CISO to ensure secure data handling practices and correct application of relevant privacy and security standards and regulations.
• Collaborate across teams to define and deliver on data requirements.