Data Engineer
London, Manchester or Oxford (Remote)
Discretionary Company Bonus Scheme
Monday – Friday (37.5h pw)
Our perks
1. 25 days holidays (rising to 28 days) plus bank holidays, to take time to recharge and do something you love.
2. Hybrid working – you’ll be able to split your time between working in the office and at home.
3. Mental health care – 6 free counselling sessions via our EAP (Employee Assistance Programme).
4. Paid sick leave – enhanced sick pay of up to 20 full days in a rolling 12-month period.
5. Enhanced family leave – we provide enhanced family leave for primary and secondary caregivers.
6. 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.
7. Pension – !
The Role
Data Engineer at Oodle Car Finance.
We are seeking a 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 needsDevelop, test, and maintain data pipelines into and out of cloud data warehouseCollaborate with other teams where data is sourced to understand and correctly model what comes inEfficiently manage processing of large semi-structured data sources and curate data to service data science modelling use casesEvaluate and implement tools to streamline process of developing, collaborating, and executing data science models in a safe, efficient, and reliable wayWork with wider data engineering function to ensure engineering frameworks and best practices are developed, maintained, and strictly adhered toTrack overall performance and stability of the data platform, automating and improving performance of data models, data pipelines and data quality rulesDefine 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 skillsHands-on experience working with cloud-based data warehousing technologies e.g. Snowflake, DBT, FiveTran and AirFlowAbility to communicate effectively to both technical as well as non-technical audiencesAnalytical and problem-solving skills with attention to detailHigh levels of energy, enthusiasm, and passion to acquire new skills and succeed in a dynamic environment
Desirable Experience:
FinTech/Finance experienceKnowledge of infrastructure-as-code tools such as TerraformKnowledge of AWS cloud services and Data Ops CI/CD tools and processes e.g. Docker, Kubernetes, Jenkins, GitHub, etc
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 strongerStrive for awesome – it’s awesome when we do better every dayEveryone’s a builder – we’re in this together and we win as a teamBravely honest – we’re honest with ourselves and everyone elseThink customer – they’re at the heart of everything we do