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Data Engineer
Confirmed live in the last 24 hours
Locations
London, UK
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
AWS
Data Analysis
Data Science
Development Operations (DevOps)
Docker
Git
Java
Airflow
Linux/Unix
SQL
Terraform
Kubernetes
Python
Requirements
  • Experience in software engineering in any modern language (preferably in Python)
  • Have enthusiasm for IaC and DevOps
  • Architected, maintained, and owned infrastructure for data processing
  • Some understanding of ML model development process and practises
  • Strong SQL knowledge and experience working with relational databases
  • Experience in shaping the software development lifecycle (git, CI/CD, docker)
  • Experience with Unix-like systems
  • A competitive salary that fairly recognises your experience and potential
  • We're enthusiastic to offer all Attesters EMI share options in the company so that as the business succeeds, so do you!
  • 25 days (UK) paid holiday per year. This is in addition to local public holidays and an additional 2 days off around the festive season
  • To help you save for your retirement, you'll be auto-enrolled to our group pension plan when you join
  • Support with remote and flexible working both whilst we navigate the world as it is now and in the long-term. We'll even give you £300 to set up your home office
  • A generous career growth and development budget of £500 a year to support your learning
  • Access to private and confidential coaching or counselling via Sanctus
  • Spend up to 2 paid days per month - 10% time - focusing on your growth, giving back to your community or supporting your favourite charity
  • 10 days paid sick leave a year - for your body and your mind
  • 24/7 Employee Assistance Programme by Care First
  • Your choice of equipment and access to great tools that support your productivity and impact
Responsibilities
  • Work closely with Data Science, Product, and Commercial teams on diverse projects
  • Ensure machine learning (ML) models are compatible with our backend infrastructure and satisfy technical requirements
  • Maintain the analytics infrastructure, so Attest can make data-informed decisions
  • Build tooling to help the ML model development life-cycle
  • Architect infrastructure to manage data assets, models, and code
  • Design and implement ETL pipelines to ingest and process data from various sources
Desired Qualifications
  • Infrastructure as Code and Cloud Infrastructure knowledge (AWS, Terraform or similar)
  • Kubernetes experience
  • Experience with MLOps tools and methodologies
  • Data pipelining knowledge (Airflow, Dagster, or similar)
  • Java and Go knowledge
Attest

51-200 employees

Consumer research & insight platform
Company Overview
Attest's mission is to empower each person within a business with confidence for every decision, with the right insight, at the right time. Attest's consumer research platform combines unparalleled speed and data quality with on-demand research expertise, making it simple for anyone to run regular research, achieve clear insight and continuously uncover opportunities with consumer data.
Benefits
  • Growth & development budget
  • Adventure time
  • Work from home budget
  • 25 paid holidays
  • 10 days sick leave
  • EAP
  • Coaching & counseling
Company Core Values
  • Always building around real users
  • Full transparency & integrity
  • Fun & engaging to work with
  • Open-minded innovation
  • Responsible autonomy