Overview
Diligenta - a subsidiary of Tata Consultancy Services provided pay range. This range is provided by Diligenta - a subsidiary of Tata Consultancy Services. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
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Diligenta's vision is to be acknowledged as Best-in-class Platform-based Life and Pensions Administration Service provider. Customer service is at the heart of everything we do, and our aim is to transform our clients\' operations. A business that has been described as ‘home’ by existing employees, we drive a culture that is founded on positive change and development.
Summary of the role
As a Data Engineer you will be responsible for designing, developing and delivering solutions to Load, optimise and transform Data within our environment and the relevant infrastructure to support them.
The Data Engineer will provision, configure and implement Azure infrastructure consisting of SQL instances, and other Fabric components as required to support the Data needs of Diligenta.
You will be a key part of designing and building out our Data infrastructure that will help to drive Data insights, data use and value across the business.
* 33 days including Bank Holidays
* Eligibility for an annual discretionary bonus scheme
* Personal and career development opportunities to progress your aspirations within the company as well as through our global parent company (Tata Consultancy Services)
* Access to Perks at Work (an online discounted shopping platform) saving you money on a wide range of goods and services, including your weekly food shop, holidays and electrical goods.
* Cycle to Work Scheme & Interest-free Season Ticket loans.
* A companywide Wellbeing programme, including an Employee Assistance Programme and other benefits/resources to support your mental/physical and financial wellbeing.
* A comprehensive set of Moments that Matter policies, such as Carer’s Leave, Foster Leave and Retirement Leave
* A contributory company pension scheme where we match your contributions up to 6%, Group Life Assurance ("Death in Service") & Group Income Protection
What you’ll be doing
* Help build, implement and contribute to best practises within the engineering environment such as naming conventions, coding standards and design briefs.
* Work to promote, implement and maintain clear code and documentation for all projects.
* Maintain Wiki entries for engineering, development and product environments.
* Use CICD frameworks to iterate through and optimise solutions.
* Use source control solutions to maintain our code base (GIT) maintaining code branches and release versions.
* Work to deliver products and solutions utilising agile methodologies.
* Help build and operate a content delivery network for solution delivery and maintenance.
* Create solutions that comply with Data governance frameworks and data management processes and policies.
* Be an active part of product and change refinement processes to help define stories, features, and contribute development estimates.
* Be a key part of designing and building out our Fabric infrastructure that will help to drive Data insights, data use and value across the business.
What we’re looking for
* Prior experience in a similar Data Engineering role in either a software or data delivery environment.
* Educated up to a degree level or equivalent experience.
* Understanding of data governance concepts.
* Strong analytical skills.
* Familiar with data privacy regulations such as GDPR.
* Proven experience designing and implementing ETL/ELT solutions.
* Knowledge of relational and non-relational data management systems.
* Working with big data platforms, tools and environments.
* CICD tools and processes.
* SQL, SSIS.
* Working in an Agile delivery environment.
* MS Fabric environment.
* RDBMS platforms.
* SQL coding.
* Scrum, kanban (Desirable)
* Purview, Colibra, Erwin or similar (Desirable)
If you need any help or adjustments during the recruitment process, please let us know.
Ready to take the next step in your career? Apply today and become part of our innovative team!
Seniority level
* Mid-Senior level
Employment type
* Full-time
Job function
* Information Technology
Industries
* Financial Services and Pension Funds
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