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As a Lead Data Engineer or architect at Made Tech, you'll play a pivotal role in helping public sector organisations become truly data-lead, by equipping them with robust data platforms. You'll also join a data team on its mission to get data knowledge and skills out of silos and embedded into delivery teams. You'll also help implement efficient data pipelines & storage.
Job Responsibility:
Define, shape and perfect data strategies in central and local government
Help public sector teams understand the value of their data, and make the most of it
Establish yourself as a trusted advisor in data driven approaches using public cloud services like AWS, Azure and GCP
Contribute to our recruitment efforts and take on line management responsibilities
Help implement efficient data pipelines & storage
Requirements:
Proficiency in Git (inc. Github Actions) and able to explain the benefits of different branch strategies
Strong experience in IaC and able to guide how one could deploy infrastructure into different environments
Knowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop
Good understanding of possible architectures involved in modern data system design (Data Warehouse, Data Lakes, Data Meshes)
Ability to create data pipelines on a cloud environment and integrate error handling within these pipelines
You understand how to create reusable libraries to encourage uniformity or approach across multiple data pipelines
Able to document and present end-to-end diagrams to explain a data processing system on a cloud environment
Some knowledge of how you would present diagrams (C4, UML, etc.)
Enthusiasm for learning and self-development
You have experience of working on agile delivery-lead projects and can apply agile practices such as Scrum, XP, Kanban
Can own the cloud infrastructure underpinning data systems through a DevOps approach
Design and implement efficient data transformation processes at scale, both in batch and streaming use cases
You are a skilled Data Engineer who has delivered data platforms
Knowledge of SOLID, DRY and TDD principles and how to practically implement these into a project
You can demonstrate a commercial mindset when on projects to grow accounts organically with senior stakeholders
You have the experience to improve resilience into a project by checking for software vulnerabilities and implement appropriate testing strategies (unit integration, data quality, etc)
You are skilled at offering guidance on how one would implement a robust DevOps approach in a data project
You can comfortably talk about tools needed such as DataOps in areas such as orchestration, data integration and data analytics
Eligibility for SC (security check) clearance requires 5 years' UK residency and 5 years' employment history (or back to full-time education). Ideally, no more than 30 consecutive days spent outside the UK within the last five years.
Nice to have:
Working at a technology consultancy
Working with Docker and virtual environments as part of the development and CI/CD process
Working with senior stakeholders to gather requirements and keep them engaged with
Experience in working with a team of engineers using a variety of techniques such as pair programming or mob programming
Working with data scientists to productionise advanced data deliverables, such as machine learning models
Working knowledge of statistics
Working with multidisciplinary digital and technology teams
Working within the public sector
Working with data scientists to productionise advanced data deliverables, such as machine learning models
What we offer:
30 days of paid annual leave
Flexible parental leave options
Part time remote working for all our staff
Paid counselling as well as financial and legal advice
7% employer matched pension
Flexible benefit platform which includes a Smart Tech scheme, Cycle to work scheme, and an individual benefits allowance which you can invest in a Health care cash plan or Pension plan
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