Senior Data Engineer

Job descriptionS.H.I.F.T Talent has partnered with an IT Consultancy looking for Data Engineers.Check out the role overview below If you are confident you have got the right skills and experience, apply today.Their 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.Key responsibilitiesAs a Senior Data Engineer, you may play one or more roles according to their 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 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.Skills, knowledge and expertiseThey 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 (inc. Github Actions) and able to explain the benefits of different branch strategiesGathering and meeting the requirements of both clients and users on a data projectStrong experience in IaC and able to guide how one could deploy infrastructure into different environmentsOwning the cloud infrastructure underpinning data systems through a DevOps approachKnowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or HadoopGood 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 themAbility to create data pipelines on a cloud environment and integrate error handling within these pipelines. With an understanding 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 DevOps approach in a data project. Also would be able to talk about tools needed for DataOps in areas such as orchestration, data integration and data analytics. Experience in improving resilience into a project by checking for software vulnerabilities and implement 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 KanbanDesigning and implementing efficient data transformation processes at scale, both in batch and streaming use casesOwning the cloud infrastructure underpinning data systems through a DevOps approachAgile practices such as Scrum, XP, and/or KanbanPeople skills such as mentoring, supportive team player and performing line management dutiesTo be able to demonstrate a commercial mindset when on projects to grow accounts organically with senior stakeholders Desirable experienceExperience in the following things isn’t essential, but it’s highly desirableWorking at a technology consultancyWorking 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 modelsWorking knowledge of statisticsWorking with multidisciplinary digital and technology teamsWorking within the public sectorAn increasing number of their customers are specifying a minimum of SC (security check) clearance in order to work on their projects. As a result, they're looking for all successful candidates for this role to have eligibility. xwwtmva Eligibility for SC requires 5 years' continuous UK residency and 5 year' 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.