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Artefact

Senior Data Engineer

London
Posted about 21 hours ago
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Senior Data Engineer

Who we are

Artefact is a new generation of data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.

Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe.

We have over 2000 employees across 26 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client.

Job Summary

We are looking for a Senior Data Engineer to join our dynamic team. This role is ideal for someone with a deep understanding of data engineering and a proven track record of leading data projects in a fast-paced environment.

Key Responsibilities

  • Design, build, and maintain scalable and robust data pipelines using SQL and Python, and leveraging any of the following: Databricks, Snowflake, Azure Data Factory, AWS Glue, Apache Airflow and Pyspark.
  • Lead the integration of complex data systems and ensure consistency and accuracy of data across multiple platforms.
  • Implement continuous integration and continuous deployment (CI/CD) practices for data pipelines to improve efficiency and quality of data processing.
  • Work closely with data architects, analysts, and other stakeholders to understand business requirements and translate them into technical implementations.
  • Oversee and manage a team of data engineers, providing guidance and mentorship to ensure high-quality project deliverables.
  • Develop and enforce best practices in data governance, security, and compliance within the organisation.
  • Optimise data retrieval and develop dashboards and reports for business teams.
  • Continuously evaluate new technologies and tools to enhance the capabilities of the data engineering function.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

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Qualifications

  • Bachelor's or Master’s degree in Computer Science, Engineering, or a related field.
  • 4+ years of industry experience in data engineering with a strong technical proficiency in SQL, Python, and big data technologies.
  • 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.
  • Proven leadership skills and experience managing data engineering teams.
  • Excellent problem-solving skills and the ability to work with ambiguity.
  • Proficient in leveraging AI-assisted workflows to optimise task efficiency.
  • Strong communication and interpersonal skills.
  • Excellent understanding of data architecture involving data mesh, data lake, data warehouse and data lakehouse.

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Preferred Qualifications

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

Why Joining Artefact?

  • Build the Future of Data & AI
    Join one of the fastest-growing global data consulting companies and help leading organisations transform through data and AI.
  • Accelerate Your Growth
    Work on cutting-edge projects with modern technologies including AI, Machine Learning, Cloud, and DevOps, while continuously developing your technical, consulting, and leadership skills.
  • Collaborative Culture
    Be part of a diverse, international, and action-oriented team of experts across data, consulting, engineering, and digital marketing.
  • Entrepreneurial Environment
    We value initiative, innovation, and ownership. Your ideas matter, and you’ll have the opportunity to make a real impact from day one.
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Skills

SQL
Python
Data Engineering
Data Pipelines
Databricks
Snowflake
Azure Data Factory
AWS Glue
Apache Airflow
Pyspark
Data Governance
CI/CD
DevOps
Data Architecture
AI
Big Data

Location

London, England, United Kingdom

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