Senior Analytics Engineer

Monzo Bank; London; Hybrid; GBP 70,000 - 85,000; Full time

Job summary

Join a forward-thinking company as an Analytics Engineer, where you'll play a pivotal role in building a high-quality data warehouse that drives better decision-making. Collaborate with cross-functional teams to create robust data models and optimize data processes, all while enjoying the flexibility of working from anywhere in the UK. With a commitment to continuous improvement and innovation, this position offers a unique opportunity to impact the financial landscape while developing your skills in a supportive environment. Embrace a role that not only values your expertise but also encourages your growth and work-life balance.

Benefits

Flexible working hours

Learning budget of £1,000

Relocation assistance

Visa sponsorship

Work-life balance support

Qualifications

• Strong passion for data modelling and ETL projects.
• Experience with SQL and general Data Warehousing concepts.

Responsibilities

• Build robust data models to support internal reporting and machine learning.
• Optimize the Data Warehouse and manage best practices.

Skills

Data Modelling

ETL Projects

BigQuery

SQL

Data Warehousing

Data Governance

Python

Agile Methodologies

Tools

Airflow

dbt

Dataform

Job description

London/Cardiff/UK Remote | £70,000-85,000 + Benefits|Hear from the team

Analytics Engineering at Monzo
We have around 50 Analytics Engineers out of roughly 200 data practitioners in total - and we have big ambitions for the discipline. Analytics Engineering is at the core of how we build our data to enable Monzo to make better and faster decisions by having a performant, scalable and high quality data warehouse. As an Analytics Engineer here you'll be working collaboratively with other disciplines like product, engineering and data science, and we run regular knowledge-sharing sessions so you’ll learn loads about everything from our data modelling principles to how banks work and effective communication.

What you’ll be working on:

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:

1. 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.
2. Focus on optimisation of our Data Warehouse, spotting opportunities to reduce complexity and cost.
3. 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.
4. Set standards and ways of working with data across Monzo, working collaboratively with others to make it happen.
5. Take established best practices and standards defined by the team, applying them within other areas of the business.
6. Investigate and effectively work with colleagues from other disciplines to monitor and improve data quality within the warehouse.
7. Contribute to prioritisation of data governance issues.
8. We all own and support the pipelines we contribute to, and on call support out of hours will be expected from time to time as part of this role.

We’d love to hear from you if…

• You enjoy working with cross functional fast moving teams and are passionate about serving small businesses.
• 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.
• You are committed to continuous improvement, proactively identifying opportunities and addressing challenges in your work and the work of others.

Nice to haves

• Any experience working within a finance function or knowledge of accounting.
• 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.
• Experience working with orchestration frameworks such as Airflow/Luigi.
• Have previously used dbt, dataform or similar tooling.
• Used to AGILE ways of working (Kanban, Scrum).

The Interview Process:

Our interview process involves 3 main stages:

1. 30 minute recruiter call.
2. 45 minute call with the hiring manager.
3. Take home task.
4. 2-part final stage.

Our average process takes around 3 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on [e-mail]. Please also use that email to let us know if there's anything we can do to make your application process easier for you, because of disability, neurodiversity or any other personal reason.

What’s in it for you:

️ We can help you relocate to the UK.

We can sponsor visas.

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.

And much more, see our full list of benefits here.

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.

#LI-NJ1 #LI-REMOTE