About the role : Primary function of the role is to deliver high quality data engineering solutions to business and end users across Asset Lending (Asset Finance, Working Capital and Asset Based Lending businesses either directly via self-service data products, or by working closely with the Analytics team, providing modelled data warehouses on which they can add reporting and analytics. Reporting to the Head of ccc Technology, this role will fill a crucial role in bridging the gap between business needs, the requirements from the data analytics team and translating these into engineering delivery. Key Responsibilities : Work closely with end-users and Data Analysts to understand the business and their data requirements Carry out ad hoc data analysis and data wrangling using Synapse Analytics and Databricks Building dynamic meta-data driven data ingestion patterns using Azure Data Factory and Databricks Build and maintain the Enterprise Data Warehouse (using Data Vault 2.0 methodology) Build and maintain business focused data products and data marts Build and maintain Azure Analysis Services databases and cubes Share support and operational duties within the wider engineering and data teams Work with Architecture and Engineering teams to deliver on these projects. and ensure that supporting code and infrastructure follows best practices outlined by these teams. Help define test criteria to establish clear conditions for success and ensure alignment with business objectives. Manage their user stories and acceptance criteria through to production into day-to-day support Assist in the testing and validation of new requirements and processes to ensure they meet business need What are we looking for? Excellent data analysis and exploration using T-SQL Strong SQL programming (stored procedures, functions) Extensive experience with SQL Server and SSIS Knowledge and experience of data warehouse modelling methodologies (Kimball, dimensional modelling, Data Vault 2.0) Experience in Azure one or more of the following: Data Factory, Databricks, Synapse Analytics, ADLS Gen2 Experience in building robust and performant ETL processes Build and maintain Analysis Services databases and cubes (both multidimensional and tabular) Experience in using source control & ADO Understanding and experience of deployment pipelines
The Offshore Data Engineering Lead will be responsible for overseeing the data and application development efforts which support our Microsoft Data Mesh Platform. Working as a part of the Investec Central Data Team, the candidate will be responsible for leading development on solutions and applications that support our data domain teams with creation of data products. This role involves driving technical initiatives, exploring new technologies, and enhancing engineering practices within the data teams in-line with the group engineering strategy. The Data Engineering Lead will be a key driver for Investecs move to Microsoft Fabric and other enablement data quality, data management and data orchestration technologies. Key Roles and Responsibilities: Lead the development and implementation of data and custom application solutions that support the creation of data products across various data domains. Design, build, and maintain data pipelines using Microsoft Azure Data Platform, Microsoft Fabric and Databricks technologies. Ensure data quality, integrity, and security within the data mesh architecture. Share group engineering context with the CIO and engineers within the business unit continuously. Drive engineering efficiency and enable teams to deliver high-quality software quickly within the business unit Cultivate a culture focused on security, risk management, and best practices in engineering Actively engage with the data domain teams, business units and wider engineering community to promote knowledge sharing Spearhead technical projects and innovation within the business units engineering teams and contribute to group engineering initiatives Advance the technical skills of the engineering community and mentor engineers within the business unit Enhance the stability, performance, and security of the business units systems. Develop and promote exceptional engineering documentation and practices Build a culture of development and mentorship within the central data team Provide guidance on technology and engineering practices Actively encourages creating Investec open-source software where appropriate within the business unit Actively encourages team members within the business unit to speak at technical conferences based on the work being done Core Skills and Knowledge: Proven experience in data engineering, with a strong focus on Microsoft Data Platform technologies, including Azure Data Factory, Azure SQL Database, and Databricks Proficiency in programming languages such as C# and/or Python, with experience in application development being a plus Experience with CI/CD pipelines, Azure, and Azure DevOps Strong experience and knowledge with PySpark and SQL with the ability to create solutions using Microsoft Fabric Ability to create solutions that query and work with web APIs In-depth knowledge of Azure, containerisation, and Kubernetes Strong understanding of data architecture concepts, particularly data mesh principles Excellent problem-solving skills and the ability to work independently as a self-starter Strong communication and collaboration skills, with the ability to work effectively in a remote team environment Relevant degree in Computer Science, Data Engineering, or a related field is preferred
Contract - Software Engineer (Full Stack) Mumbai (12087) 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 wholl think out of the ordinary and we put them in environments where theyll 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. INSERT Summary about the role / team / opportunity (ask the HM for their summary of the team) Whats the hook? What is in it for the candidate. What will I be doing? Few key bullets about the role, make it punchy! What are we looking for? Few key bullets about you, make is refreshingly human!
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. Apply Now
Conduct thorough annual reviews of existing credit facilities in the energy and infrastructure sectors, assessing performance, risk factors, and compliance with covenants. The annual review reports on asset level performance with reference to the financial close and updated base cases. For greenfield/construction assets periodic monitoring of construction progress via review of the contractor/ Lender Technical Adviser reporting. Monitor and manage a diverse portfolio of energy and infrastructure assets, ensuring alignment with investment strategy and risk appetite. Develop and maintain financial models to evaluate the creditworthiness of counterparties and assess the impact of market changes on portfolio performance. Information and Financial Covenant monitoring for the EIF UK portfolio. Support the EIF team by attending relevant internal meeting and actioning follow ups as necessary including weekly EIF Team meetings, monthly GLO meetings. Core skills and knowledge : Fluent in English and excellent oral and written skills Knowledge of the Energy and Infrastructure sector and its debt financing structures preferred. Good team player who is able to deliver in a time-efficient manner. Excellent command of PowerPoint, Word, Excel, and other relevant tools and databases To act with integrity at all times and embrace the philosophy of treating our customers fairly (compulsory) Regulatory Knowledge as applicable to role (compulsory)