Data Engineer - Client Digital Experience ( CDX)

10 - 15 years

40 - 45 Lacs

Posted:None| Platform: Naukri logo

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Job Type

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Job Description

Data Engineer - Client Digital Experience ( CDX) (11921)
Investec is a distinctive Specialist Bank serving clients principally in the UK and South Africa. Our culture gives us our edge: we work hard to find colleagues who'll think out of the ordinary and we put them in environments where they'll flourish. We combine a flat structure with a focus on internal mobility. If you can bring an entrepreneurial spirit and a desire to learn and collaborate to your work, this could be the boost your career deserves.

Team Description :

The Channel Data Insights team develops and produces digital behavioural data and analytics for Digital Experience platforms within Investec Bank Ltd and PLC.
Key Responsibilities :
We are seeking an experienced Data Engineer to join the CXT/CDX Data & Insights team. The role encompasses end-to-end data engineering responsibilities: data ingestion, transformation, modelling, and warehousing. The successful candidate will build scalable, self-service data products using Azure-based technologies aligned with Investec's Data Experience Framework and One Data Platform (ODP) standards. You will be instrumental in delivering high-quality data solutions to business and end users across the Bank, either via self-service products or in collaboration with the Analytics squad to deliver modelled data products. This role involves technical mentorship and collaboration with global CDX teams to ensure design efficacy and solution impact. While cloud-first (primarily Azure), the role may occasionally interact with legacy on-premises systems that are being decommissioned. You will work closely with teams such as Architecture, DevOps, Database Administration, and Application teams, across both India and global offices .

Data Engineering & Platform Development

- Build and manage metadata-driven data ingestion pipelines using Azure Data Factory and Databricks
Maintain and enhance the Channel Data Analytics Platform
Develop business-focused data products and data marts
Build and maintain Azure Analysis Services models (multidimensional and tabular)
Execute all stages of the data engineering lifecycle using IDX methodology
Implement DevOps practices for deployment pipelines
Use IaC tools (Bicep, Azure CLI, PowerShell) to automate infrastructure provisioning

Collaboration & Stakeholder Engagemen

t
Partner with business users and analysts to translate insights into technical solutions
Work with Architecture and Application teams to implement scalable, robust pipelines
Participate in code reviews and knowledge-sharing sessions across squads

Governance, Documentation & Standards

Develop and maintain technical documentation, checklists, and operational procedures
Promote data security, CI/CD practices, and mitigate human error
Share in support and operational duties within the engineering team

Innovation & Cloud Migration

Support and influence the migration of on-prem systems to Azure
Stay current with evolving cloud technologies and drive adoption of best practices

Core Skills & Knowledge

10+ years of experience in data engineering roles

Proficient in Azure Data Factory, Databricks, Synapse Analytics, ADLS Gen2

Strong SQL and Python skills, including stored procedures and data wrangling

Expertise in Apache Spark, PySpark, and Pandas

Experience in building and tuning large-scale ETL processes

Skilled in data warehouse modelling (Kimball, Data Vault 2.0)

Experience with Azure Bicep templates, DevOps pipelines, and GIT

Strong understanding of distributed data mesh principles

Familiarity with Unity Catalog and Azure Analysis Services

Performance tuning in Spark Agile methodology experience

Effective communicator across technical and non-technical teams

Preferred skills C# / .NET Core / .NET Framework JavaScript frameworks: ReactJS, Angular Microservices architecture and event-driven design Mobile development (React Native, Swift, Android Java) Containerization tools: Docker, Podman AI tools and technologies.

Required Qualifications

Bachelor's degree in computer science or related field from an accredited university and/or equivalent work experience

Microsoft Azure certifications (Mandatory AZ900, DP900, DP201, DP202), Preferred (Databricks Fundamentals, Databricks Azure Databricks Platform Architect)

As part of our collaborative & agile culture, our working week is 4 days in the office and one day remote.

Investec offers a range of wellbeing benefits to make our people feel healthier, balanced and more fulfilled in their lives inside and outside of work.
Embedded in our culture is a sense of belonging and inclusion. This creates an environment in which everyone is free to be themselves which helps to drive innovation, creativity and ultimately business performance. At Investec we want everyone to find it easy to be themselves, and to feel they belong. It's a responsibility we all share and is integral to our purpose and values as an organisation.

Research shows

that some candidates can be reluctant to apply to a role unless they meet all the criteria. We pride ourselves on our entrepreneurial spirit here and welcome you to do the same if the role excites you, please don't let our person specification hold you back. Get in touch!

Recite Me

We commit to ensure that everyone is fairly assessed during our recruitment process. To assist candidates in completing their application form, Recite Me assistive technology is available on our Careers pages. This can be accessed by clicking on the Accessibility Options' link at the top of the page.
The Recite Me tool includes a screen reader, styling and customisation options, a series of reading aids, a translator and more.
If you have any form of disability or neurodivergent need and require further assistance in completing your application, please contact the Careers team at CareersUK@investec.co.uk who will be happy to assist.

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