The role

We are looking for experienced Business Intelligence Engineers to help support our growing business and build out our data capabilities. You’ll be playing a crucial role in the digital transformation of GoCardless by ensuring that data is strategically managed, efficiently utilised, and securely maintained. You’ll create the underpinning models that enable deep insight into a fast-growing business and do so with scale and resilience in mind from day one. You’ll help people in all areas of GoCardless make better, faster, more data-driven decisions and develop an expert knowledge of all areas of our operation. 

You’ll sit in our Product Development division and will work with technical and non-technical people across the whole company. You’ll collaborate closely with our team of talented BI Analysts, Data Engineers and Data Operators, designing and implementing the foundations they need to provide first-class analysis to the business.

Tech stack and tools:

Python, Looker, Google Cloud Platform, dbt, Airflow and MuleSoft and BigQuery amongst others

The main elements of this role will involve:

• Developing and maintaining a data architecture that supports GoCardless’ long term strategic goals
• Provide technical expertise in the design, implementation, and maintenance of our data warehouse.
• Developing coherent and performant data models that transform large, complex and disparate datasets into explorable, understandable and accurate data products
• Collaborating with engineers to prototype, design and build pipelines that take raw data from production systems and deliver them in a format suitable for both analytical and transactional workloads
• Building BI tooling that fully leverages the capabilities of Google Cloud Platform and BigQuery
• Supporting people across the company to enable them to self-serve Business Intelligence through BI tools - we’re using dbt and Looker at GoCardless. 

What excites you 

• You can point to a solid track record as a data engineer working with cloud tooling.
• You’re a self-starter - you take initiative in spotting opportunities and finding ways to solve problems with data
• You’re used to sharing your technical work in a clear way to others around you
• You can turn complex business requirements into scalable, robust, explorable data products
• You’re good at quickly getting a grasp of any dataset that you’re working with
• You’ll be able to demonstrate how you have automated repetitive tasks and built robust ETL pipelines

What excites us  

• You have strong knowledge of data architecture, data modelling, and database design.
• You have excellent SQL skills and experience of scripting languages like Python
• Experience with Big Data technologies (e.g. BigQuery, Snowflake) and working with data at a significant scale
• You have a firm grasp of self-serve data tools like Looker, Tableau or similar. We’re using Looker at GoCardless.
• You have experience working in an agile environment at a pace
• You can communicate your work clearly to both technical and non-technical audiences
• You are as comfortable discussing data modelling approaches as you are with sourcing data from third party APIs.

Salary range: 2,800 - 4,200 EUR (gross)

Base salary ranges are based on role, job level, location, and market data. Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work.