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Senior Data Engineer

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Attest

24d ago

  • Job
    Full-time
    Junior Level
  • Software Engineering
  • $85K - $105K
  • Londonderry
  • Quick Apply

AI generated summary

  • You bring innovative ideas to the table, with hands-on experience in Python, SQL, and NoSQL databases. You excel at data engineering, infrastructure maintenance, and ML model development using MLOps tools and data engineering tools like MLFlow, Kubernetes, dbt, Terraform, and Redshift.
  • You will lead data engineering efforts at Attest, maintaining, growing, and optimizing data analytics platforms, architectures, and ETL pipelines for data-driven decision making and ML model development.

Requirements

  • You think ahead and bring ideas to the table, identifying data engineering opportunities and presenting well-thought-out solutions.
  • You have hands-on experience in Data Engineering using modern languages like Python and have experience with relational SQL and NoSQL databases. Ideally you will have worked as a Data Engineer or a Data Engineer.
  • You have architected, maintained, and owned infrastructure for data processing and reporting.
  • You understand the ML model development lifecycle and have experience with MLOps tools and methodologies to streamline and optimise those processes.
  • You have strong data pipelining knowledge and experience working with data engineering tools ( i.e. MLFlow, Kubernetes, dbt, Terraform, Redshift)

Responsibilities

  • Growing and maturing our existing data analytics platform and data product offerings.
  • Maintaining our data analytics infrastructure and data architectures to enable data-driven decision making across Attest.
  • Building tooling to support and optimise the ML model development lifecycle, including experimentation, logging, deployment, and monitoring capabilities.
  • Architecting infrastructure to effectively manage data assets, models, and codebase.
  • Designing and implementing ETL pipelines to ingest and process data from various sources.
  • Proactively recommending strategies and implementations to improve data reliability, efficiency, and quality standard

FAQs

What is the salary range for the Senior Data Engineer role?

The salary range for this role is £85,000 to £105,000. At Attest our engineering roles are levelled, and we are open to hiring candidates across 2 different levels.

What are the key responsibilities of a Senior Data Engineer at Attest?

Key responsibilities include growing and maturing data analytics platform, maintaining data analytics infrastructure, building tooling to support ML model development, architecting infrastructure for data assets, designing ETL pipelines, and recommending strategies to improve data reliability.

What experience is required for the Senior Data Engineer role at Attest?

Candidates should have hands-on experience in Data Engineering, familiarity with modern languages like Python, experience with relational SQL and NoSQL databases, understanding of the ML model development lifecycle, and knowledge of data engineering tools like MLFlow, Kubernetes, dbt, Terraform, Redshift.

What benefits does Attest offer to its employees?

Attest offers a range of benefits including EMI share options, career development budget, paid holiday time off, wellness allowance, family-friendly policies, community support days, pension plan, Employee Assistance Programme, and the opportunity to work from anywhere for up to 80 days per year.

We're Attest, and we're making consumer research simple.

Marketing & Advertising
Industry
51-200
Employees
2015
Founded Year

Mission & Purpose

Attest is the consumer research platform that puts trustworthy insights in more people's hands. By combining the best bits of research technology and human expertise, we make it simple and fast for anyone to uncover opportunity with consumer data. Brands like Unilever, Santander, Walgreens/Boots, Klarna, Brew Dr. Kombucha, Trustpilot, JCDecaux rely on us to cut through the noise and deliver facts. On our self-serve platform, you can survey 125 million consumers in 58 countries in minutes; they answer your burning questions in 48 hours on average. So you can back every decision, from big picture to every day, with real-world evidence. Because when you know how your target consumers are changing, acting, feeling and buying, you always know your next move is the right one.

Benefits

  • Pension Plan

  • Maternity & Paternity Leave

  • Work From Home

  • Flexible Working

  • Childcare Vouchers

  • Annual Leave