Data Engineer

Blink - The Employee App; City Of London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A fast-growing tech company in London seeks a Data Engineer to design and build their data stack. You'll integrate and model data from multiple sources, optimising for performance and cost. Strong SQL and experience with Snowflake and dbt are key. This role offers a competitive salary, equity, and a supportive team culture. Join us to shape the future of data at Blink.

Benefits

Competitive salary

Equity in the company

25 days a year off

Learning & development focus

Private healthcare

Ride2Work scheme

Pension scheme

Qualifications

• Strong SQL skills and deep understanding of relational database concepts.
• Experience with cloud data warehouses (Snowflake preferred) and awareness of cost optimisation strategies.
• Significant experience with dbt and managing complex ETL/ELT pipelines.
• Familiarity with BI tools (e.g., Tableau, Power BI, Thoughtspot etc.).
• Proficient in a modern programming language, preferably Python.
• Solid software engineering skills, including version control, testing, and CI/CD.
• Versatile and adaptable – comfortable working across the stack, learning new tools and solving novel problems.
• Experience in a lean or startup environment a plus.

Responsibilities

• Shape the vision for our data stack and drive its evolution.
• Build and maintain data integrations from OLTP databases.
• Define the strategy for migrating to dbt.
• Optimise our Snowflake environment for performance.
• Partner with engineers and stakeholders for analytics and data features.
• Implement monitoring for data pipelines and ensure data quality.
• Ensure secure data handling practices.

Skills

Strong SQL skills

Cloud data warehouses (Snowflake preferred)

Experience with dbt

Familiarity with BI tools

Python

Software engineering skills

Communication skills

Business metrics understanding

Experience in a lean environment

Job description

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.

About you:

• Strong SQL skills and deep understanding of relational database concepts.
• Experience with cloud data warehouses (Snowflake preferred) and awareness of cost optimisation strategies.
• Significant experience with dbt and managing complex ETL/ELT pipelines.
• Familiarity with BI tools (e.g., Tableau, Power BI, Thoughtspot etc.).
• Proficient in a modern programming language, preferably Python.
• Solid software engineering skills, including version control, testing, and CI/CD.
• Versatile and adaptable – comfortable working across the stack, learning new tools and solving novel problems.
• You are a great communicator, equally comfortable engaging with technical and non-technical stakeholders
• As well as your skills as a data engineer, you have a good understanding of business metrics and are passionate about solving business problems.
• Experience in a lean or startup environment a plus.
• Nice to have: Experience exposing data products via APIs or embedded analytics.
• Nice to have: Experience operationalising ML/AI workflows and an understanding of underlying models to help monitor, evaluate, and improve them.

Why Blink?

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.