Senior Data Engineer

Senior Data Engineer – Made Tech

Made Tech – City of Bristol, England, United Kingdom

Our Senior Data Engineers enable public sector organisations to embrace a data‑driven approach by providing data platforms and services that are high‑quality, cost‑efficient, and tailored to clients’ needs. They develop, operate, and maintain these services. They make sure they provide maximum value to data consumers, including analysts, scientists, and business stakeholders.

As a Senior Data Engineer, you may play one or more roles according to our clients’ needs. The role is very hands‑on and you’ll support as a senior contributor for a project, focusing on both delivering engineering work as well as upskilling members of the client team. At other points, you might play more of a technical architect role and work with the larger Made Tech team to identify growth opportunities within the account.

You’ll need to have a drive to deliver outcomes for users. You’ll make sure that the wider context of a delivery is considered and maintain alignment between the operational and analytical aspects of the engineering solution.

• Enthusiasm for learning and self‑development
• Proficiency in Git (incl. Github Actions) and able to explain the benefits of different branch strategies
• Gathering and meeting the requirements of both clients and users on a data project
• Strong experience in IaC and able to guide how one could deploy infrastructure into different environments
• Owning the cloud infrastructure underpinning data systems through a Dev Ops approach
• Knowledge of handling and transforming various data types (JSON, CSV, etc.) with Apache Spark, Databricks or Hadoop
• Good understanding of the possible architectures involved in modern data system design (e.g. Data Warehouse, Data Lakes and Data Meshes) and the different use cases for them
• Ability to create data pipelines on a cloud environment and integrate error handling within these pipelines, with an understanding of how to create reusable libraries to encourage uniformity of approach across multiple data pipelines
• Able to document and present an end‑to‑end diagram to explain a data processing system on a cloud environment, with some knowledge of how you would present diagrams (C4, UML etc.)
• To provide guidance how one would implement a robust Dev Ops approach in a data project. Also would be able to talk about tools needed for Data Ops in areas such as orchestration, data integration and data analytics
• Experience in improving resilience into a project by checking for software vulnerabilities and implementing appropriate testing strategies (unit, integration, data quality etc.)
• Knowledge of SOLID, DRY and TDD principles and how to practically implement these into a project
• Agile practices such as Scrum, XP, and/or Kanban
• Designing and implementing efficient data transformation processes at scale, both in batch and streaming use cases
• People skills such as mentoring, supportive team player and performing line management duties
• To be able to demonstrate a commercial mindset when on projects to grow accounts organically with senior stakeholders

• 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
• 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 product ionise advanced data deliverables, such as machine learning models
• Working knowledge of statistics
• Working with multidisciplinary digital and technology teams
• Working within the public sector

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We believe we can use tech to make public services better. We also believe this can happen best when our own team represents the society that actually uses the services we work on. We’re collectively continuing to grow a culture that…