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.