Data Engineer (security cleared)

Join a fast-growing technology and engineering organisation that is on a mission to become the best engineering consultancy in the UK. We are looking for a Data Engineer who is passionate about technology, eager to develop their coding skills, and ready to make a significant impact in a collaborative and innovative environment.

Due to the security cleared nature of this role, we can not accept applicants who don't possess indefinite leave to remain or are a UK resident. If you require sponsorship, then your application will not be considered.

Data Engineer

Annual Salary: £40,000 - £55,000
Location: UK (Flexible Hybrid Working)
Job Type: Permanent

Day-to-day of the role:

Work on diverse client projects including building modern data platforms and services using DevOps practices.
Engage in large, distributed workloads, batch and streaming data pipelines, and high-quality monitoring.
Collaborate with architects, technology consultants, and client stakeholders to help customers leverage their data effectively.
Gain exposure to different industries and networks while working with the latest technologies.
Spend time on internal projects, training, and development to expand expertise and contribute to business-critical client projects.

Required Skills & Qualifications:

Demonstrable experience in building data pipelines using Spark or Pandas.
Experience with major cloud providers (AWS, Azure, or Google).
Familiarity with big data platforms (EMR, Databricks, or DataProc).
Knowledge of data platforms such as Data Lakes, Data Warehouses, or Data Meshes.
Drive for self-improvement and eagerness to learn new programming languages.
Ability to solve problems pragmatically and support and operate production systems.

Desirable Skills:

Experience in building automated data quality checks and metrics.
Experience in creating or maintaining production software delivery pipelines using common CI/CD tools (GitHub Actions, Azure DevOps, Jenkins, CircleCI, etc.).
Experience in productionising machine learning algorithms.
Familiarity with Infrastructure as Code (Terraform, CloudFormation, ARM templates, etc.).
Experience with data reporting and visualisation tools (Power BI, Tableau, Qlik, etc.).

Benefits:

Competitive salary and comprehensive benefits plan.
Flexible hybrid working model (3 days per week onsite).
Opportunities for personal and professional growth in an entrepreneurial environment.
Supportive transition back into your career for those returning from a career break.

To apply for this Data Engineer position, please submit your CV and cover letter detailing your relevant experience and why you are interested in joining our team