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Tessian's Human Layer Security platform uses machine learning to understand human relationships and communication behavior in order to protect businesses from threats executed by people on email.

Lead Data Engineer
London, GB
Job Description / Skills Required


We believe technology should secure the digital interactions of employees without compromising user experience or productivity. That’s why we’re building the world’s first Human Layer Security platform.

We’re a team of mathematicians, data scientists & engineers building breakthrough machine learning and natural language technologies to analyse, understand & protect enterprise email networks.

Tessian is the Sunday Times' third fastest growing privately owned UK Tech company, and fastest growing UK Enterprise Software company, backed by leading technology investors Sequoia Capital, Accel, and Balderton who have helped build many industry defining companies including Stripe, Slack, Crowdstrike and Dropbox.

We'd love to hear from you.

Data Engineering at Tessian

Read more about Engineering at Tessian:

As a high-growth scale-up, our email datasets are growing at an exponential rate. This is a great problem to have as it allows us to train best-in-class machine learning models to prevent previously unpreventable data breaches. We have scaled to the point where our current data pipelines are not where we want them to be, this is why we’re looking to hire our first Data Engineer.

You will sit in our Platform team and work day-to-day with our Data Scientists to build out infrastructure and data pipelines empowering teams to iterate quickly on terabytes of data. We view this role as a hugely impactful, high-leverage role and strongly believe that if we can query all of our data, in near real-time and using scalable systems then we can deliver more value to our clients through the data breaches we prevent.

Your responsibilities will include:

        Building systems to efficiently handle our ever increasing volume of data
        Designing and implementing data pipelines as well as owning the vision of what our systems could achieve in the future
        Working with Data Scientists to train, version, test, deploy and monitor our machine learning models in production
        Designing systems to expose data to our product and engineering teams in a performant way
        Mentoring the Data Science team on how to work with data at scale

We'd love to meet someone who:

        Is a highly-skilled developer who understands software engineering best practices (git, CI/CD, testing, reviewing, etc)
        Has experience working with distributed data systems such as Spark (or Amazon EMR)You’ve designed and deployed data pipelines and ETL systems for data-at-scale
        Has a deep knowledge of the AWS ecosystem and have managed AWS production environments
        Has experience with Docker and container orchestration systems like AWS ECS and Kubernetes
        Ideally has been involved in machine learning infrastructure projects from automated training through to deployment

Some interesting projects we’re working on:

        An ETL pipeline transforming millions of tiny files on AWS Glue to the Parquet file format for efficient querying
        Designing existing pipelines to use Spark setting ourselves up to handle massive future scale
        Building a new Flask app framework allowing us to standardise how we deploy all models to production
        Dumping terabytes of data from production databases, in real-time in a performant, scalable and secure way
        Building a lightweight data labelling system designed specifically for labelling emails at scale

Why we think you'll love it here:

        It’s important to us that all Tessians are part of the journey we’re on, so we offer equity options with every role and benchmark to provide above market rate salaries - there’s plenty more too….

        Be at your best, both inside and outside of work
        A full week of work-remote a year, in addition to 25 days of paid holiday
        Flexible working hours and working from home
        Curate your career with development experiences uniquely suited to you
        We’re family friendly, with policies built to support you in all stages of life
        High-quality tech kit provided for you to work on including Tessian ANC headphones
        If you're relocating to join the team, we'll provide a contribution to help with your costs

        Because everyone loves food...
        A plethora of breakfast options, delicious snacks, drinks and a top-of-the-range coffee machine
        Team lunch provided on Fridays - normally with more hummus than you can shake a stick at
        Dinner budget for those times you just can’t tear yourself away

        Beyond work
        Elite membership of the Tessian House System...
        On Fridays we stop at 5 and share team updates and drinks
        Monthly team socials & a big, whole team extravaganza every quarter
        Never-ending ping-pong tournaments

Equality & diversity

Tessian is an equal opportunity employer, committed to equality and diversity amongst both our employees and prospective applicants. The Human Layer we're securing is diverse, and we know we need to be diverse and inclusive to successfully create HLS that reflects this. You can read our equality and diversity statement here.

As part of our commitment to equality and diversity, we're also a corporate member of the WISE Campaign for gender equality in STEM & we're a founding member of the WEDS network driving diversity & inclusion in startups.

Important notices

Please note that we do not accept applications or résumés from recruiters. Any unsolicited CVs, profiles, or names, submitted in any format, by any channel, to any of our team, will be deemed to fall outside any terms and/or conditions with either the person submitting the information or their company of employment/representation.

By submitting your application to Tessian, you consent to Tessian retaining your information and contacting you about future job opportunities, that may be of interest, for up to 2 years in accordance with our Privacy Policy

Please note, that any job offers will be subject to the candidate passing background screening checks.