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Artefact

Tech Lead (Architecture)

London
Posted 14 days ago
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TECH LEAD (Architecture)

Who We Are

Artefact is a new generation of data service provider, specializing in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organizations. 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

As a Tech Lead, you will be responsible for leading a team of data engineers, and platform engineers, ensuring the quality and efficiency of cloud, data, and platform engineering projects. You will oversee the technical aspects of solution design, data engineering, and platform delivery, provide mentorship, and collaborate with cross-functional teams to deliver high-quality solutions. Your role is pivotal in driving the technical vision, ensuring best practices, and fostering a culture of continuous improvement.

Key Responsibilities

Technical Leadership

  • Lead the technical planning, execution, and successful delivery of cloud, data, and platform engineering projects.
  • Make architectural decisions and guide the team in the development of scalable, maintainable, and robust solutions.
  • Stay updated with emerging technologies and industry trends to drive innovation.

Team Management

  • Provide technical mentorship and guidance to developers, fostering professional growth and development.
  • Conduct code reviews to ensure adherence to best practices, coding standards, and quality.
  • Facilitate team collaboration, ensuring effective communication and coordination among team members.

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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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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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Project Management

  • Collaborate with project managers and stakeholders to define project requirements, scope, and timelines.
  • Monitor project progress, identify potential risks, and implement mitigation strategies.
  • Ensure timely delivery of projects within budget and quality standards.

Technical Expertise

  • Design, develop, and maintain complex platforms and applications.
  • Troubleshoot and resolve technical issues, ensuring system reliability and performance.
  • Optimize and refactor existing codebases to improve efficiency and maintainability.

Collaboration and Communication

  • Work closely with product managers, designers, and other stakeholders to align technical solutions with business goals.
  • Communicate technical concepts and solutions effectively to both technical and non-technical stakeholders.
  • Promote a collaborative and inclusive team environment.

Qualifications

Education

  • Bachelor’s degree in computer science, Engineering, or a related field. Advanced degree preferred.

Experience

  • 5+ years of experience in software development or data engineering, with at least 2 years in a technical leadership or architecture role.
  • Proven experience in leading and managing development teams.
  • Strong background in software architecture and design patterns.

Technical Skills

  • Expertise in at least one major cloud platform (AWS, Azure, or Google Cloud); multi-cloud awareness is desirable
  • Hands-on experience with Infrastructure as Code tooling (Terraform, Ansible, CloudFormation, or equivalent)
  • Hands-on experience with Docker; familiarity with container orchestration platforms (Kubernetes or equivalent) is desirable
  • Hands-on experience with CI/CD pipeline design and implementation (Azure DevOps, GitHub Actions, or equivalent)
  • Hands-on experience with cloud data platform technologies (Databricks, Azure Synapse, Snowflake, or equivalent)
  • Proficiency in Python; working knowledge of at least one additional language (Java, SQL, JavaScript/TypeScript, or equivalent)
  • Experience with software architecture patterns including microservices, event-driven architecture, and domain-driven design
  • Familiarity with data lakehouse design patterns (medallion architecture, Delta Lake, or equivalent)
  • Experience with event streaming platforms (Kafka, Azure Event Hubs, or equivalent)
  • API design experience across REST, GraphQL, and/or gRPC
  • Experience with relational and non-relational database technologies (SQL, NoSQL)
  • Experience working within Agile delivery frameworks
  • Previous experience in financial services or insurance is advantageous

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Soft Skills

  • Excellent problem-solving and analytical abilities.
  • Strong leadership and mentoring skills.
  • Effective communication and interpersonal skills.
  • Comfortable leading technical discussions and presenting recommendations directly to clients
  • Ability to manage multiple priorities and work under pressure.

Preferred Qualifications

  • Familiarity with data pipeline and orchestration tooling (Apache Airflow, dbt, Spark, or equivalent)
  • Experience with monitoring and observability tooling (Datadog, Prometheus/Grafana, or equivalent)
  • Familiarity with data governance principles including RBAC, data lineage, and cataloguing
  • Familiarity with AI agent frameworks and patterns (LangChain, LangGraph, CrewAI, or equivalent) is desirable
  • Relevant cloud or architecture certifications (AWS, Azure, GCP, Databricks, or TOGAF)
  • Contributions to open-source projects or active participation in the tech community

Working Conditions

  • This position may require occasional travel.
  • Hybrid work arrangement: two days per week working from the office near St. Paul’s
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Skills

Cloud Computing
Data Engineering
Software Architecture
Team Management
Project Management
Technical Leadership
Python
CI/CD
Docker
Infrastructure as Code
API Design
Agile Methodologies
Data Platforms
Event Streaming
Database Technologies
Microservices

Location

London, England, United Kingdom

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