Data Engineer

Perenna; Greater London; Hybrid; GBP 50,000 - 75,000; Full time

Benefits offered by this job

30 days annual leave

10% employer pension contribution

Comprehensive private healthcare

Income Protection Scheme

Employee Assistance Programme

Training and learning opportunities

Cycle To Work bike loan scheme

Electric Vehicle lease scheme

Job summary

Perenna, located in Greater London, is hiring a Data Engineer to support their growth. The role requires strong expertise in Python and SQL for building robust data pipelines and analysing raw data to support business reporting.

This position offers competitive salary, 30 days annual leave, and benefits including comprehensive healthcare and pension contributions. The workplace model is hybrid, balancing teamwork in-office and remote work for efficiency and collaboration.

Qualifications

• Proven experience in developing data pipelines and data warehousing.
• Capable of producing concise reporting structures.
• Ability to define data into measurable results.

Responsibilities

• Build and maintain data pipelines for integrating data sources.
• Analyse and organise raw data for impactful business reporting.
• Evaluate business needs and prepare data for predictive modelling.

Skills

Building data pipelines

Python

SQL

Data warehousing

Data analysis

PowerBI

Database design principles

Agile methodologies (JIRA)

Job description

To support our growth and expansion, we’re looking for a Data Engineer with a strong Python and SQL background to build, maintain and support data pipelines, and to analyse and organise raw data for the production of reports across the business.

This is a special opportunity to contribute to building a data landscape that will be a powerful differentiator for our growing bank.

What you’ll be doing.

Here are some of the things we expect you’ll work on:

• Building, maintaining and supporting data pipelines (Python and SQL) to integrate disparate data sources. A key part of this role will be developing robust solutions to automate business and system processes; this is what drives efficiency and value
• Analysing and organising raw data to produce reports that influence critical business functions across the whole Bank. You’ll also develop ways to enhance data quality – we’ll be reliant on the highest data quality we can achieve
• Evaluating and prioritising business needs and objectives, building rapid prototypes for iterative results and preparing data for prescriptive and predictive modelling working in conjunction with risk experts across the bank

Your skills and experience

• Strong and proven experience gained in a similar role with a good knowledge of building data pipelines, python, data warehousing, and SQL
• You’ll bring technical expertise in analysing data, producing concise reporting structures, and be highly capable of owning the data landscape
• The ability to define data into measures that can be reported into PowerBI
• High proficiency in database design principles, normalization, and data modelling
• Using JIRA in an agile environment

Rewards & Benefits at Perenna

• Competitive salary and hybrid working
• 30 days of annual leave, with Public Holidays on top.
• 10% employer contribution to your pension
• Fully comprehensive private healthcare cover for you and your family. Our plan includes cancer cover and mental healthcare, access to a GP 24/7 and additional wellbeing benefits. You pay no contributions to any healthcare cover, just tax on the benefit in kind through payroll each month (no P11Ds to worry about).
• Security for life events through our Income Protection Scheme (if you’re incapacitated and can’t work) and our Life Assurance Plan (worth 8 times your salary).
• We offer support through our confidential Employee Assistance Programme whenever you need it, and access to fully trained Mental Health First Aiders across the company.
• Commitment to your development, with access to training and learning opportunities to support your growth and access to thousands of free to use courses through our on-demand learning platform.
• Cycle To Work bike loan scheme (salary sacrifice)
• Electric Vehicle lease scheme (salary sacrifice)

Our roles are hybrid. This means although we don’t expect you to be in the office every day, there are some things that are just better done together – in-person team training, collaborating on new processes and improvement to how we do things, informal chats and in-person get togethers to explore new things or get a wider perspective on what’s going on. We want to make the balance work between working at home and at the office that best enables efficiency, connection and collaboration.

Things you should know.

Our selection processes are quick, but thorough. After a short initial chat to get some extra information about you, you'll have 2 more structured interviews, but we won’t hang around, and if you aren’t successful, we’ll make sure you get feedback.

We're a regulated bank, so if you're successful, our pre-employment process will include ID verification, a DBS records check, adverse credit checks (not scoring) and employment history referencing before your start date is confirmed.

All applicants need to be fully eligible to work in the UK without any restrictions. We can't support Visa sponsorship.

Things that matter to us all.

The fantastic people we have here at Perenna come from a very wide range of backgrounds and communities, but we all share the same belief that mortgages should be better, and we all want to make that happen together. We’re passionate and proud of our unique proposition, our products and our mission. We collaborate and we support each other, and our culture is inclusive and open. Diversity of all kinds is valued and respected here, and whatever your background, your voice will be heard. That’s not just because it’s the right thing to do – we believe our diversity makes us better for our customers and helps us think big about our goals.

If you need any accommodation or adjustment to participate in our selection process, please let us know, and we’ll make it happen.