Senior Data Engineer

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Full timePart time
Location: Manchester
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Job offered by: Made Tech
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Category: IT & Technology
This job is brought to you by Jobs/Redefined, the UK's leading over-50s age inclusive jobs board. Senior Data Engineer Department:

Delivery & Practices Employment Type:

Permanent - Full Time Location:

Any UK Office Hub (Bristol / London / Manchester / Swansea) Compensation:

GBP 49,500 - GBP 85,000 / year Description 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, ensuring maximum value to data consumers, including analysts, scientists, and business stakeholders. Your role at Made Tech As a Senior Data Engineer, you may play one or more roles according to our clients' needs. The role is very hands-on, supporting as a senior contributor for a project, focusing on delivering engineering work and upskilling members of the client team. At other times, you might play a more technical architect role and work with the larger MadeTech team to identify growth opportunities within the account. You'll need to have a drive to deliver outcomes for users, ensuring that the wider context of delivery is considered and maintaining alignment between the operational and analytical aspects of the engineering solution. Skills, Knowledge & Expertise We are looking for candidates with a range of skills and experience; please apply even if you don't meet all the criteria. Enthusiasm for learning and self-development Proficiency in Git (including 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 DevOps 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 in 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 to present diagrams (C4, UML, etc.) To provide guidance on implementing a robust DevOps approach in a data project and discuss tools needed for DataOps in areas such as orchestration, data integration, and data analytics Experience in improving resilience in 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, being a supportive team player, and performing line management duties To demonstrate a commercial mindset when on projects to grow accounts organically with senior stakeholders Desirable experience Experience in the following areas is not essential, but highly desirable: 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 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 Experience within the public sector Job Benefits Life at Made Tech We're committed to building a happy, inclusive, and diverse workforce. You can get a sense of what it's like working here from

our blog, where we talk about mental health, communities of practice, and neurodiversity

(as well as our client work and best practice). We offer a flexible benefit platform which includes a Smart Tech scheme, Cycle to Work scheme, and an individual benefits allowance which you can invest in a healthcare cash plan or pension plan. We also have an optional social and wellbeing calendar of events for all employees to join. Here are some of our most popular benefits listed below: 30 days Holiday:

we offer 30 days of paid annual leave Flexible Parental Leave:

we offer flexible parental leave options Remote Working:

we offer part-time remote working for all our staff Paid counselling:

we offer paid counselling as well as financial and legal advice An increasing number of our customers are specifying a minimum of SC (security check) clearance in order to work on their projects. As a result, we're looking for all successful candidates for this role to have eligibility. Eligibility for SC requires 5 years' UK residency and 5 years' employment history (or back to full-time education). Please note that if at any point during the interview process it is apparent that you may not be eligible for SC, we won't be able to progress your application and we will contact you to let you know why.

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