Join Our Team at ArchiTech Talent

Welcome to the ArchiTech Talent Careers Page!

 

At ArchiTech Talent, we believe that our people are our greatest asset. We are dedicated to fostering an innovative, inclusive, and collaborative environment where every team member can thrive. As a forward-thinking company, we are committed to delivering exceptional results for our clients and making a meaningful impact in the tech industry.

 

Why Work With Us?

Dynamic Work Environment:

Whether you’re in the office or working remotely, we promote a culture of flexibility and trust, enabling you to balance your professional and personal life effectively.

 

Growth and Development:

We prioritise continuous learning and professional development. Our employees are encouraged to pursue their career goals through training, mentorship, and opportunities for advancement.

 

Diversity and Inclusion:

We celebrate diversity and strive to create an inclusive workplace where everyone feels valued and empowered. Different perspectives lead to greater innovation and success.

 

Collaborative Culture:

Our team-oriented approach encourages collaboration and open communication. We believe that the best ideas come from diverse voices and teamwork.

Explore Our Opportunities

We invite you to explore our current job openings below. Each role offers a unique opportunity to contribute to our mission while advancing your career in a supportive environment.

Data Engineer


Reporting To: Senior Data Scientist
Salary: £40,000
Location: Hybrid working (1 day per month in Stoke office)

Purpose of the Role

As part of the Data Science and Insight Team, you will be responsible for providing data-driven solutions, often in the form of predictive models, to support decision-making for the business and its customers. You will manage and build the data infrastructure, ensuring best practices are implemented for storing and processing large-scale data sets, ultimately supporting the team and other stakeholders in their data needs.

Role Behavioural Key Result Areas

  • Explore: Embrace the contributions, energy, and feedback from everyone.
  • Say it like it is: Honesty and integrity are vital in the present.
  • Improve relentlessly: Strive to provide the best for colleagues and customers.

Responsibilities

Key Areas

  • Cloud Infrastructure: Manage and maintain the cloud-based infrastructure (Azure), ensuring it meets the needs of the team and the business, while being resilient and secure.
  • Data Pipelines: Build and maintain end-to-end data pipelines and code repositories, focusing on effective automation.
  • Data Storage and Provisioning: Work with the team to design optimal data storage and provisioning solutions, including streaming, ETL, and data processing patterns.
  • Quality Advocate: Promote and maintain high standards in data management and code repositories.

Leadership

  • Prioritisation: Capable of managing a varied workload effectively.
  • Team Player: Flexible, responsive, and capable of taking ownership in a fast-paced environment.

People

  • Collaboration: Work closely with stakeholders and team members as a key part of the data team.
  • Influence: Gain support for your ideas and drive continuous improvement.
  • Customer Impact: Recognize the value of data in influencing customer outcomes.
  • Adaptability: Comfortable with change and challenges, maintaining a growth mindset.

Customer Service

  • Communication: Regularly engage with key internal and external stakeholders.

Health and Safety

  • Compliance: Ensure adherence to company policies and health and safety procedures.
  • Work-Life Balance: Promote a balanced approach to work for yourself and colleagues.
  • Training and Legal Compliance: Ensure all statutory training requirements are met and the business remains legally compliant.

Skills and Experience Required

  • Data Preparation & Modelling: Experience in building ETL pipelines.
  • Machine Learning: Familiarity with machine learning techniques, platforms, and pipelines.
  • MS-SQL: Extensive experience with MS-SQL databases and script writing.
  • Azure Expertise: Strong understanding of Azure services (e.g., Blob storage, Virtual Machines, Data Lake Analytics) and environments.
  • Security & Privacy: Knowledge of security-by-design and privacy-by-design principles.
  • Programming: Proficient in Python and familiar with containerized software development.
  • Problem-Solving: Strong technical problem-solving abilities.
  • SQL and NoSQL: Experience with both for ETL tasks.
  • Cloud Data Management: Experience building and maintaining live cloud data lakes and warehouses (desirable).
  • Tools: Experience with Matillion and Snowflake ecosystems (desirable but not essential).
  • Linux: Familiarity with Linux OS (desirable).
  • Machine Learning Deployment: Experience deploying machine learning models (desirable).

Apply Now!