Full-Time · Remote Senior Analytics Engineer

Remote Senior Analytics Engineer in Wales, Wrexham

Referrals Only Referrals Only Wales
Full-Time Home office (partial) SQLProblem-Solving SkillsCommunication Skills
Employment
Full-Time
Remote
Home office (partial)
Salary
60000 - 75000 £ / year (est.)
Locations
2

About the role

The Analytics Engineering team is responsible for building downstream data models from backend services with the desire to make our Data Warehouse a genuine competitive advantage for Monzo. We want a discipline capable of building an amazing Data Warehouse to support decision making, Business Intelligence, key financial reconciliation processes and best in class analytics and Data Science.

You’ll enable our data driven approach, and:

  • Support the building of robust data models downstream of backend services (mostly in BigQuery) that support internal reporting, machine learning as well as financial and regulatory use cases.
  • Focus on optimisation of our Data Warehouse, spotting opportunities to reduce complexity and cost.
  • Help define and manage best practices for our Data Warehouse. This may include payload design of source data, logical data modelling, implementation, metadata and testing standards.
  • Set standards and ways of working with data across Monzo, working collaboratively with others to make it happen.
  • Investigate and effectively work with colleagues from other disciplines to monitor and improve data quality within the warehouse.
  • Contribute to prioritisation of data governance issues.

You are able to think strategically about the Business Banking product and how our underlying data models will unlock more insights for our team and more value for our customers. You have a strong passion for data modelling, ETL projects, and Big Data. You enjoy working with data streams from various services, such as financial, transactional, and operational systems. SQL and data modelling are second nature to you, and you are comfortable with general Data Warehousing concepts. Experience working in a highly regulated environment (e.g. finance, gaming, food, health care).

  • Knowledge of regulatory reporting and treasury operations in retail banking.
  • Exposure to Python, Go or similar languages.
  • Used to AGILE ways of working (Kanban, Scrum).

This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. Learning budget of £1,000 a year for books, training courses and conferences. If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance.

Your tasks

Build and optimise data models to enhance our Data Warehouse and support decision-making.

Your profile

Strong SQL skills, experience in data modelling, and familiarity with BigQuery.

What's also included

Flexible working hours, £1,000 learning budget, and part-time options available.

Tech stack & ways of working

SQL Problem-Solving Skills Communication Skills Python Automation Data Engineering Data Pipeline Development API Integration Attention to Detail Data Governance ETL/ELT Processes Data Quality Assurance

Remote Senior Analytics Engineer in Wales, Wrexham employer: Referrals Only

As a Remote Senior Lead Product Designer at our innovative company, you'll be part of a dynamic design team dedicated to creating impactful solutions that make money work for everyone. We foster a collaborative and inclusive work culture, offering extensive employee growth opportunities and a competitive benefits package, all while allowing you the flexibility of remote work from anywhere in the UK. Join us to contribute to meaningful projects and experience a supportive environment that values creativity and professional development.

View Referrals Only profile

Contact Details:
Referrals Only Recruitment Team

Your perspectives

Make a real impact on data-driven decisions in a dynamic environment.

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Locations

  • Wales
  • Wrexham

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