At a Glance
- Tasks: Lead the development and maintenance of our Customer Data Master platform using Informatica.
- Company: Join a global leader in industrial solutions with a collaborative and innovative culture.
- Benefits: Enjoy competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on continuous improvement and career advancement.
- Why this job: Make a real impact on customer experience while working with cutting-edge data technologies.
- Qualifications: 5-7 years of hands-on experience with Informatica CDM and strong SQL skills required.
The predicted salary is between 63000 - 77000 £ per year.
Across the industrial design, manufacturing and maintenance worlds, we’re the digital destination for product and service solutions to help our customers with the maintenance, repair and operation of their businesses. We provide global access to an unrivalled range of over 750,000 stocked industrial products. Each day our team of experts deliver solutions to resolve our customer’s challenges across design, procurement, inventory and maintenance. We consistently strive to deliver the best possible service to all our customers and challenge ourselves to provide a seamless procurement experience.
This role sits within the Customer Experience function CXO which is responsible for defining and operationalising the customer strategy, customer experience, and customer journey across all channels, working closely with the regions and the Solutions & Services function. It will aggregate cross-region themes and infuse the voice of the customer into all aspects of business decision making. It will also evolve our global RS brand proposition and architecture.
Role Purpose: In this role, reporting to the Informatica Developer Manager, you will support the build and maintenance of the production, development and test platform, and reference data configuration components on our critical global Customer Data Master (CDM) platform. This platform on the Informatica Intelligent Data Cloud, is Customer 360 and related applications, including “Business 360”, “Data Quality”, Cloud Data Integration, Cloud Application Integration and “Administrator”.
Responsibilities:
- Work with the Informatica Developer Manager to develop and maintain the Customer Data Master in Informatica C360.
- Review entity, attribute, and hierarchy list and deliver the design recommendations for C360 data, modelling design and development.
- Maintain and potentially extend our Data Model: Build, test, and deploy additional data attributes, with the resultant required extensions to our Data Model and Data Mappings.
- Adapt our data flows (ingresses and egresses): Build, test, and deploy changes to source data ingresses and egresses resulting from CDM data content changes.
- Deliver Ingress/CDI/API process design with preferred design patterns from SAP, Snowflake and Adobe.
- Deliver Egress/CDI/API process design with recommended design patterns to SAP, Treasure Data, Mulesoft and Salesforce as well as Snowflake.
- Design and deliver the best practices for Data Quality, Match and merge and survivorship functionality, and Data Enrichment requirements for C360 working with the Data Governance Lead.
- Design and deliver the C360 and R360 workflows/CAI/API components.
- Work with Lead Users to setup secure agent, network configuration, SSO setup and user provisioning.
- Deliver and maintain user roles definitions and reference data.
- Participate in overall solutioning and design sessions where required.
- Conduct reviews and health checks for the sprint deliverables.
- Conduct/demo C360 capabilities to project/business team.
- Support the CDM team with specialist knowledge of C360 and the customer data mastered within CDM.
Quality Assurance: Ensure the quality and integrity of the Customer Master Database through rigorous testing and validation.
Compliance and Security: Help to ensure compliance with data privacy regulations (e.g., GDPR, CCPA) and build and test robust security measures to protect customer information.
Documentation: Maintain comprehensive documentation, including user guides, technical specifications, and process documentation.
Process Development and Continuous Improvement: Develop and continuously improve the end-to-end customer data management process, incorporating feedback from stakeholders and end-users to enhance functionality, usability, and data quality.
Essential Skills & Experience:
- 5-7 years Hands-on experience on the Informatica CDM platform - preferably the SaaS version thereof – using the applications Customer360, Business360, Reference360, Data Quality, Administration, amongst others.
- Proven experience on build/configure, test, and deployment of Informatica CDM C360.
- Proven experience designing and developing CDI data integrations (ingresses & egresses).
- SQL skills essential.
- Ability to organise and structure the development/configuration, test, and deploy activities in both agile and waterfall delivery models.
- Excellent communication and interpersonal skills to engage and influence co-workers at all levels.
- Experience working in an Agile development environment.
- Basic familiarity with data privacy regulations (e.g., GDPR, CCPA) and experience implementing security measures.
- Strong analytical and problem-solving skills inside a results-driven mindset.
- Experience with tools such as JIRA, and Confluence.
Desirable Skills & Experience:
- Any Cloud Data Integration-, or Cloud Application Integration platforms. Informatica would be a plus.
- Knowledge of any of Snowflake, Salesforce, SAP, Treasure Data would be plus.
Lead Informatica Developer in London employer: RS Group
At RS Group, we pride ourselves on being an inclusive employer that champions diversity and innovation. As an AI Automation Specialist Apprentice, you'll not only receive a competitive salary and structured development pathway but also gain hands-on experience in a collaborative environment that fosters growth and creativity. Join us to work on impactful projects while being mentored by industry professionals, all within a company dedicated to shaping the future of AI and data-driven solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Informatica Developer in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like RS Group!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Lead Informatica Developer at RS Group.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like RS Group.
✨Apply Directly through Our Website
When you find a suitable opening like Lead Informatica Developer at RS Group, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Lead Informatica Developer in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at RS Group, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at RS Group. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at RS Group
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at RS Group!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
