Data Engineer

June 17

🔄 Hybrid – London

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UBDS

High Impact. Outcome Driven. Delivery at Pace. We deliver significant, measurable and sustainable Digital Transformation

Microsoft • VMware • SD-WAN • Digital Advisory • Cloud Infrastructure

51 - 200

Description

• Development of data platform solutions, including data storage and ETL pipelines to serve data for analytics or ML. Develop and maintain data models, data integration, and pipeline monitoring and support clients to implement best practices and appropriate architectures against their needs. • Includes greenfield projects as well as migration and modernization projects. • Identifying opportunities for re-usable components and leading their development, maintenance and sharing. • Collaborate with stakeholders, including client teams, your wider project team such as Cloud Architect, Scrum Master, and BA, and Partner technical representatives (Databricks, Microsoft, AWS) to ensure that data solutions meet business requirements and are scalable, secure, and compliant with organizational policies and standards. • Support technical pre-sales to provide guidance on client requirements for proposals, providing guidance on the technical approach and timeframes. • Advance our technology vendor partnerships in the area of data engineering, including maintaining and taking relevant certifications and building relationships e.g. with Databricks product team and solution architects. • Contribute to marketing events and thought leadership articles, as well as attending and possibility to present at conferences and webinars.

Requirements

• Continuously seeks to understand and apply industry best practice and technologies as relevant to the client. Understands your limits and when to ask for help or collaborate with other SMEs. • Confident leading the design, development, and maintenance of data platforms and ETL solutions in a highly-regulated industry. • Knowledge of all stages of the data lifecycle, and applying DataOps principles to manage pipeline testing, deployment, integration, and monitoring. • Data modeling expertise to develop low-level designs and implement models against business requirements, using design patterns such as Inmon, Kimball, and Data Vault. • Excellent Databricks, Python, PySpark and Spark SQL knowledge, including writing, testing, and quality assuring code and knowledge of Unity Catalog best practice to govern data assets as well as Azure and/or AWS experience. • Experienced in working with sensitive data (e.g. health or financial), understands and applies security, ethics and privacy best practices. • Consulting experience.

Benefits

• Training – All team members are offered a number of options in terms of personal development, whether it is technical led, business acumen or methodologies. We want you to grow with us and to help us achieve more • Private medical cover for you and your spouse/partner, offered via Vitality • Discretionary bonus based on a blend of personal and company performance • Holiday – You will receive 25 Days holiday, plus 1 day for Birthday and 1 day for your work anniversary in addition to UK bank holidays • Electric Vehicle leasing with salary sacrifice • Contributed Pension Scheme • Death in service cover • Hybrid Working – UBDS Group offers a flexible working environment to help enable you to operate at your maximum regardless of your location. With offices in London & Manchester we offer a culture that is focussed on outcomes and giving you a work life balance but at that same time creating and driving a culture of inclusivity and togetherness

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