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Artefact

Consulting Manager

Artefact · 17th Floor, 5 Aldermanbury Square, London, EC2V 7HR

Posted about 2 months ago

or apply directly on Artefact's site. We never take the application ourselves.

Is this posting real?

This role has been open
47 days
Artefact's roles stay open a median of 80 days
Reposted
No
Salary listed
No
4% of Artefact's roles list one
Ghost-job risk at Artefact
high
120 stale, 1 reposted of 124 open
Hiring momentum
154 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-22

Measured from postings appearing on and disappearing from Artefact's own greenhouse board since 2026-08-03. Full hiring picture for Artefact.

About this role

As a Senior Data Engineer at Artefact, you will design, build, and maintain scalable data pipelines using SQL and Python, while leading a team of data engineers. Your role will involve integrating complex data systems, implementing CI/CD practices, and collaborating with various stakeholders to translate business requirements into technical solutions. You will also focus on data governance and continuously evaluate new technologies to enhance data engineering capabilities.

Our read on this posting3.0out of 5
benefits
1/5
freshness
4/5
career value
5/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Artefact as an employer.

What you need

  • Bachelor's or Master’s degree in Computer Science, Engineering, or a related field
  • 3+ years of industry experience in data engineering
  • Strong technical proficiency in SQL and Python
  • Expertise in building scalable data workflows using cloud-native orchestration tools and distributed data processing frameworks
  • Demonstrated experience with Infrastructure as Code tooling such as Terraform
  • Solid understanding of CI/CD principles and DevOps/DevSecOps practices

Nice to have

  • Certifications in Azure, AWS, or GCP
  • Certifications in Databricks, Snowflake or similar technologies
  • Experience in leading large scale data engineering projects

Worth weighing

  • No salary listed
  • Hybrid work arrangement: two-three days per week working from the office

Summarised from Artefact's posting. Read the full original.

Listed by Artefact on their greenhouse job board, last confirmed open on 2026-10-22. PitchMeAI is not the employer.

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