Oodle Car Finance

Senior Data Engineer

Job description

🌏 London, Manchester or Oxford (Remote)

💰 Salary £65,000 - £80,000

💷 Discretionary Company Bonus Scheme

⏰ Monday – Friday (37.5h pw)

💖 Our perks

  • 🌏25 days holidays (rising to 28 days) plus bank holidays, to take time to recharge and do something you love.
  • 🤸 Hybrid working – you'll be able to split your time between working in the office and at home.
  • ⭐Mental health care – 6 free counselling sessions via our EAP (Employee Assistance Programme).
  • 🤧Paid sick leave – enhanced sick pay of up to 20 full days in a rolling 12-month period.
  • 👨‍Enhanced family leave – we provide enhanced family leave for primary and secondary caregivers.
  • 🤒Healthcare plan – free healthcare via Vitality for you and your family. You'll receive money back on health appointments e.g. dental, optical and more.
  • 👍Pension – Oodle will contribute 5% of your salary into your pension pot to help you save for the future.
  • 🥝Free breakfast, drinks and fruit in the office – you can help yourself to cereals, toast, fizzy drinks and lots of fruit.
  • 🤟Employee discounts – discounts you can access anywhere, anytime for all major shops.
  • 👌1 day volunteer day per year – an opportunity to give back to the community each year.

🚗 Oodle – who are we? 🚗

Our mission is to be the UK's simplest way to find and finance a great value used car. We want to put car buyers back in control and make the car buying experience as simple, straightforward, and joyful as possible as car buyers deserve oodles of car buying confidence!

We are a team of 450 people located in Manchester, Oxford and London. Over the past 6 years, we've supported 10,000's of customers on their car buying journey and know 2023 is shaping up to be another exciting year!

🙌 The Role

Senior Data Engineer at Oodle Car Finance.

We are seeking a Senior data engineer to help us build, test and maintain our data platform which serves the critical needs of the business. You will be responsible for designing, building, and maintaining our data stack including data pipelines and data warehouse for our analytics, data science, operations and marketing teams. We are in the process of completing our migration to a new Data Warehouse based on Snowflake using the Data Vault architecture. We have exciting plans for using our data to give our customers greater value and our business even more insights.

🟢The Team

The Data Engineering team is responsible for all aspects of data management, developing and refining cloud native warehouse, interfaces from a variety of internal and external sources, building tools and processes for data quality assurance and presenting data to whoever needs, whenever they want and in whatever format it is required.

The data engineering team is a central team that works closely with your peer data teams in analytics and reporting, data science and the wider business to understand and service their data needs, ensuring a single source of truth is maintained. The team operates with a collaborative, autonomous and flat structure.

What you'll be doing:

  • Work with data science, credit risk and analytics teams to understand their data needs and recommend reliable and efficient solutions to service these needs
  • Develop, test, and maintain data pipelines into and out of cloud data warehouse
  • Collaborate with other teams where data is sourced to understand and correctly model what comes in
  • Efficiently manage processing of large semi-structured data sources and curate data to service data science modelling use cases
  • Evaluate and implement tools to streamline process of developing, collaborating, and executing data science models in a safe, efficient, and reliable way
  • Work with wider data engineering function to ensure engineering frameworks and best practices are developed, maintained, and strictly adhered to
  • Track overall performance and stability of the data platform, automating and improving performance of data models, data pipelines and data quality rules
  • Define and enhance data management and governance tools and capabilities across the data engineering function

What you'll need:

  • Previous Experience in a Data Engineering role
  • Strong SQL and Python development skills
  • Hands-on experience working with cloud-based data warehousing technologies, specifically Snowflake and DBT
  • Hands on experience with AWS cloud services and Data Ops CI/CD tools and processes e.g. Docker, Kubernetes, Jenkins, GitHub, etc
  • Knowledge of tools like FiveTran and AirFlow
  • Ability to communicate effectively to both technical as well as non-technical audiences
  • Analytical and problem-solving skills with attention to detail
  • High levels of energy, enthusiasm, and passion to acquire new skills and succeed in a dynamic environment

Desirable Experience:

  • FinTech/Finance experience
  • Knowledge of infrastructure-as-code tools such as Terraform

👩💻 Hiring Process

  • ☎️ Preliminary Interview (30 mins)
  • 📲 Video Interview (1 hour) Competency and Technical interview with the hiring manger and a member of the team
  • 🛠 Team Interview (30 mins)
  • 🔦 Final Interview (30 mins) with the Head of Engineering

💚 Our Values

Our values are our personal brand and lay the foundation of what we care about the most. They provide us with guidance, so we can work towards the same goals. They are our DNA and are kept at the forefront of our Oodler's mind when making business decisions.

  • Embrace being human – empathy and diversity make us stronger
  • Strive for awesome – it's awesome when we do better every day
  • Everyone's a builder – we're in this together and we win as a team
  • Bravely honest – we're honest with ourselves and everyone else
  • Think customer – they're at the heart of everything we do

To find out more about our culture and what happens at Oodle check out our LinkedIn and Instagram.

Oodle is proud to be an inclusive workplace and we recognise diversity of experience, thoughts and backgrounds leads to better customer outcomes and an environment where our colleagues can thrive. We have several DEI networks which are made up of our 'Oodlers' who strive to make positive impacts to our cultures.

We'd love if you could submit your application online, but if you need an alternative method or need reasonable adjustments to take part in the interview process please email careers@oodlefinance.com

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