Data Engineer

Who we are 

Tractable is an Artificial Intelligence company bringing the speed and insight of Applied AI to visual assessment. Trained on millions of data points, our AI-powered solutions connect everyone involved in insurance, repairs, and sales of homes and cars – helping people work faster and smarter, while reducing friction and waste.

Founded in 2014, Tractable is now the AI tool of choice for world-leading insurance and automotive companies. Our solutions unlock the potential of Applied AI to transform the whole recovery ecosystem, from assessing damage and accelerating claims and repairs to recycling parts. They help make response to recovery up to ten times faster – even after full-scale disasters like floods and hurricanes. 

We’ve got a best in class working culture focused around autonomy, collaboration, continuous learning, flexible working and more. In fact, we are a Certified 'Great Place to Work 2022' and rated 4.8/5 on Glassdoor due to our enjoyable and vibrant working culture and laser sharp focus on employee wellbeing.

What you will do

The Data Platform team is responsible for building, developing and maintaining the tooling that supports Tractable in storing, accessing, transforming, analysing and visualsing data. As part of the Platform group, we focus on building high quality, self-service products that scale for both internal and external users. Our vision is to ‘enable Tractable and its customers to make every decision with confidence, without delay’. Data is at the core of what Tractable does, and a critical component of our continued success in building, refining and deploying visual AI solutions that help real people get their lives rapidly back to normal after disasters. 

You will:

• Take ownership of one or more of the Data Platform products
• Build frameworks and tools that allow users to deploy their own low-latency data ingestion and transformation pipelines, and to access and visualise their data
• Have a track record of making big data feel small using frameworks like Spark
• Work closely with the team’s Product Manager and Engineering Manager to develop and deliver a roadmap, in collaboration with other team members, that aligns with the team’s and the organisation’s priorities.
• Help influence, define and develop Tractable’s organisational data strategy
• Drive adoption of Data Platform tooling across the organisation
• Hold the team to account for quality, leading by example in crafting user & developer documentation, testing, monitoring and alerting.
• Be an active participant in team agile routines, and help evolve & improve team ways of working.

What you need to be successful

• A self-starting bias, identifying things we can improve, features we can add, high value problems we can solve, and making the case for them to be prioritised
• Bring a pragmatic, customer-focussed and product-first mindset
• Distil & deliver a clear plan from complex requirements and ambiguous contexts
• A command of modern cloud data technologies and strategies. Familiarity with the AWS data stack, Airflow, dbt, Terraform and Tableau will be beneficial.
• Proficient in writing high-quality Python & SQL; familiar with common data modelling concepts
• Experience working with data scientists & researchers solving AI/ML problems, particularly in the image processing and visual recognition domain
• Experience of solving data governance problems (e.g. data deletion, anonymisation, access control)

What’s in it for you

• Twice a year compensation reviews
• Generous equity package
• 25 days paid annual leave + bank holidays
• 5% employer match on pension
• Full private health coverage through Bupa
• Access to a virtual GP through Babylon
• Hybrid working (3 days working from home/week)
• Generous maternity + paternity leave
• Ability to work from abroad for up to 6 weeks/year
• L&D budget to use on Learnerbly (our learning platform)
• Mental health and career coaching through Sanctus
• Headspace subscription
• Payroll charitable donations (pre-tax) 
• Commuter Club
• Cycle to Work scheme 
• £100 work from home budget

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