Data Engineer

UK - Remote / Onsite London

Applications have closed
Tessian
Tessian protects every business’s mission by securing the human layer 💫
We're building intelligent security that works for human beings as they are, not how security policies would like them to be. Using machine learning technology, Tessian automatically predicts and eliminates advanced threats on email caused by human error - like data exfiltration, accidental data loss, business email compromise and phishing attacks - with minimal disruption to employees' workflow. As a result, employees are empowered to do their best work, without security getting in their way.
Tessian has raised a $74m Series C led by renowned security investors, March Capital (Crowdstrike, Knowbe4), with follow-on from Sequoia, Accel, Balderton, Latitude, Okta, Sozo, Citi & Schroder Adveq, to further our mission to secure the human layer.
Founded in 2013, Tessian is backed by world-class venture capital investors, has hubs in London, San Francisco, Boston, and Austin, and London, and is one of the Top-3 2021 Best Places to Work for Women.
Data Engineering at Tessian
As a high-growth scale-up, our email datasets are growing at an exponential rate. This is a great as it allows us to train best-in-class machine learning models to prevent previously unpreventable data breaches, however we're at the scale where our current data pipelines aren't where we want them to be: this is why we’re looking to bring another Data Engineer into the Tessian family.
You will sit in our Data Engineering team and work day-to-day with our Data Scientists to build out infrastructure and pipelines, empowering teams to iterate quickly on terabytes of data. You'll be hugely impactful in this high-leverage role and we strongly believe that if we can query all of our data, in near real-time, and using scalable systems, then we can deliver limitless value to our clients through the data breaches we prevent.

Some interesting projects we’re working on:

  • Building an Ingestion system to process Insights from different models using Kafka and Spark
  • Designing the next generation data-lake setting ourselves up to handle massive future scale
  • Creating a framework allowing us to standardise how we deploy all our ML models to production

We'd love to meet someone who:

  • Is a highly-skilled developer who understands software engineering best practices (git, CI/CD, testing, reviewing, etc) and infrastructure as code principles.
  • Has experience working with distributed data systems such as Spark
  • Has 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 scheduling systems like Airflow
  • Ideally has been involved in machine learning infrastructure projects from automated training through to deployment
  • Has an ability to break down ambiguous problems into concrete, manageable components and think through optimal solutions
  • Enjoys “getting their hands dirty” by digging into complex operations
  • Takes a high degree of ownership over their workIs a clear communicator with professional presence
  • Has strong listening skills; open to input from other team members and departments

On a day-to-day basis you'll get to

  • Build systems to efficiently handle our ever increasing volume of data
  • Design and implement data pipelines as well as owning the vision of what our systems could achieve in the future
  • Work with Data Scientists to train, version, test, deploy and monitor our machine learning models in production
  • Design systems to expose data to our product and engineering teams in a performant way


Why we think you'll love it here 😍.... 
For summer 2021, we’re excited to announce what we call "Refreshian Summer" - where every single Tessian will be able to down tools at 1pm every Friday in July & August, and enjoy a long weekend during the sunniest months of the year!
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 
- 25 days of paid holiday (plus 8 bank holidays, and an additional day for every year you've worked at Tessian!) - Private health insurance provided through Vitality Health and mental health support through our Employee Assistance Program - Classpass - subsided access to gym time and classes all across London - Choice First: Do your best work, in the way that works best for you- Flexible working hours and working from home (if you're not already remote!) - Work-from-home subsidy upon joining, so you can kit out your home office- Enhanced pension contributions, matched up to 5% - 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, plus Tessian ANC headphones - If you're relocating to join the team, we'll provide a contribution to help with your costs 
Beyond work 
- Elite membership of the Tessian House System... - Every other Wednesday we get together to share team updates and drinks - Monthly team socials & a big, whole company 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.
#humanfirst 🙋‍♀️💁‍♂️
Obligatory small print
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.
We're a #LI-Remote company offering Choice First working practices where possible.

Tags: Airflow AWS CI/CD Data pipelines Engineering ETL Git Kafka Machine Learning ML models Pipelines Security Spark STEM Testing

Perks/benefits: Career development Equity Fitness / gym Flex hours Health care Startup environment

Regions: Remote/Anywhere Europe
Country: United Kingdom
Job stats:  32  3  0
Category: Engineering Jobs

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.