Data Engineer Client Digital Experience ( CDX)

Job description

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 Engagement

· 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 ·

 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.

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