Cambridge, Hybrid

Senior Data & Analytics Engineer

The Opportunity

As our Senior Data & Analytics Engineer you will help us achieve our goals and deliver success on behalf of our customers by developing and maintaining robust and performant data pipelines for extracting, transforming, and loading data from our ARIC platform into databases (ClickHouse). You will also collaborate with Product Managers to understand requirements, design data models, and develop dashboards in Apache Superset to present data to users; as well as developing and maintaining tooling to improve workflows for Data Scientists and Analytic Consultants.

This is a hybrid role based in our Cambridge office, so you will ideally be comfortable coming into the office at least twice a week. If you’re interested in the role but require more flexibility, please speak to us! 

Day to Day

  • Collaborating with Product Managers to engineer data pipelines and dashboards to serve relevant business and analytical data to users of the ARIC platform
  • Collaborating with Data Scientists and Analytics Consultants to understand their workflows and develop solutions to improve them
  • Interacting with users (both internal and external) to understand their problems and sharing this insight with the rest of the team
  • Identifying risks and testing assumptions before development 
  • Enabling and supporting delivery teams to configure custom reporting configuration and dashboards
  • Developing and maintaining comprehensive documentation for data pipelines, database schemas, analytical solutions, and processes, ensuring clear and concise documentation standards are followed
  • Supporting the delivery teams delivering the products you develop 
  • Communicating and presenting technical concepts and solutions effectively to both technical and non-technical stakeholders
  • Championing software engineering process and process improvements
  • Improving team processes and providing input to future team strategy 
  • Developing a solid understanding of the fraud and financial crime industries, specifically data processing flows and analytical key performance indicators 
  • Coordinating work across multiple teams; writing tech specs; identifying risks and testing assumptions before development 
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About you

Must haves:

  • Good degree in a scientific or numerate discipline, e.g. Computer Science, Physics, Mathematics, Engineering or equivalent work experience 
  • Proficient in SQL, including the ability to write complex queries and optimize them for performance
  • A good understanding of database architectures and data layouts for efficient processing 
  • Experience designing data models and implementing data pipelines to serve data to end users
  • Strong problem-solving skills and the ability to analyse and understand complex data structures
  • Experience designing and developing applications in Python (or similar language)
  • Experience with the full software development lifecycle including source control, testing, code review and build pipelines
  • Experience working in a Linux environment
  • Experience of collaborating with multiple stakeholders on technical projects; with strong, clear, concise written and verbal communication skills

Great to haves:

  • Experience building dashboards using data visualisation tools (e.g Apache Superset, Power BI etc.)  
  • Experience in the fraud, financial crime, or payment processing industries 
  • Experience with column-oriented databases (e.g. ClickHouse, DuckDB) 
  • Experience working with high throughput, low latency real-time applications
  • Good understanding of machine learning models and their development process  

Equal Opportunities

Here at Featurespace we are committed to being a place of equality, inclusion and respect to provide a safe environment for you to bring your authentic self to work. We know that we gain as much strength from our differences as we do our similarities. We value diversity and are dedicated to listening and learning from each other to build and maintain a positive and productive culture. We appreciate this will be an ever-evolving focus for the business to ensure everyone feels supported and has a sense of belonging.

How to apply

If you think you’re a good fit for the role above, we would love to hear from you.

Fill out the short application form, upload your CV and one of the team will get back to you.

If you have any questions or queries regarding this role, or life at Featurespace, please contact [email protected]

Featurespace Job Application Privacy Notice

Featurespace Ltd., is committed to comply with the General Data Protection Legislation and any implementing legislation (the “Data Protection Legislation”) and will process your Personal Data in accordance with the Data Protection Legislation and information security legislation. Any capitalised terms used in this Privacy Notice shall be given the same definition as in the Data Protection Legislation.

This Privacy Notice sets out the basis on which Featurespace Ltd will process Personal Data relating to job applicants.

The Data Controller is Featurespace Ltd., 140 Cambridge Science Park, Milton Road, Cambridge, CB4 0GF, United Kingdom.

Data refers to both Personal Data and Special Categories of Data. Your job application and the Personal Data held within it will be processed to assess your viability for the stated role. We may also process any information that you provide about your health, for the sole purpose of assessing whether any adjustments may need to be made to the recruitment process to accommodate you . If your application is unsuccessful, Featurespace will retain your Data for 24 months after the end of the recruitment process. Your Personal Data is processed in accordance with our legitimate interests of making sound recruitment decisions. You are under no obligation to provide us with your Personal Data. However without this, we cannot assess your job application. We will only process information about your health for the purpose of making reasonable adjustments to the recruitment process (if applicable), in accordance with our legal obligations. You have the following rights in relation to the processing of your Data: The right to be informed about how your Data is processed. You have the right to object to the processing of your Data based on our legitimate interests as outlined above. The right of access, to your Data and supplementary information relating to our use of your Data. In certain circumstances, we reserve the right to charge you for exercising this right. The right to rectification, if your Data is inaccurate or incomplete. In certain circumstances, the right to erasure, request the deletion of, or removal of, your Data. In certain circumstances, the right to restrict processing, block any further processing of your Data. We shall respond to any request made by you without delay and in any case within a month of your request. The right to complain to the Information Commissioner’s Office if you believe that your data protection/privacy rights have been breached. Your application will be submitted and stored on an application database (Greenhouse). Access to your Data on Greenhouse is limited to the relevant persons for your application- our internal recruiters, the hiring manager and interviewer(s). Your CV may be printed and shown to consulted decision makers, any physical copies will be securely and confidentially destroyed after a decision has been made on your application. Your CV is transferred to a third country, outside of the EEA, when it is processed by Greenhouse. Greenhouse meet the technical and organisational data security measures outlined in the GDPR Article 32, and are SOC2 Type II certified. We do not envisage that any decision will be taken about your application using automated means.