At a Glance
- Tasks: Lead the re-engineering of ETL/data-integration pipelines and ensure secure data migration.
- Company: Join a forward-thinking company with a focus on cloud data solutions.
- Benefits: Competitive daily rate, hybrid work model, and potential for contract extension.
- Other info: Opportunity to work in a dynamic environment with a focus on professional growth.
- Why this job: Make a significant impact in cloud data migration while mentoring future tech leaders.
- Qualifications: Expertise in Informatica PowerCenter or IICS and strong data integration skills.
The predicted salary is between 63000 - 77000 £ per year.
Hybrid - 1 a month in Manchester or Blackpool, 12 month contract very likely to extend.
£650-£700 inside IR35.
Role Purpose: Provides deep Informatica expertise to ensure existing ETL/data-integration pipelines are correctly re-engineered and data is migrated reliably and securely into the target cloud data warehouse across delivery phases.
Key Responsibilities:
- Architecture and Strategy: Advise on Informatica architecture, pipeline mappings, and overall re-platforming/migration approaches.
- ETL and Migration Design: Define source-to-target mapping, ETL migration workflows, and rigorous data validation methods.
- Technical Documentation: Lead and support High-Level Design (HLD), Low-Level Design (LLD), and knowledge-base articles for all Informatica components.
- Assurance and Dual-Running: Assure pipeline integrity throughout the migration lifecycle and dual-running execution.
- Technical Leadership: Mentoring, upskilling, and technical guidance for core Informatica engineers.
Key Skills And Experience:
- Informatica Expertise: Comprehensive subject-matter expertise in Informatica PowerCenter and/or Informatica Intelligent Cloud Services (IICS).
- Data Integration: Proven track record in complex ETL design, data integration pipelines, and source-to-target mapping definitions.
- Data Migration and Quality: Extensive experience in enterprise-scale cloud data migrations, dual-run testing, and validation frameworks.
- Leadership: Ability to drive decisions, manage technical risk, and perform structured knowledge transfer to internal teams.
Salary: £650.00 - £700.00 / day.
Informatica SME in London employer: Talent
Join a forward-thinking government client as a Ruby on Rails Developer, where you will play a pivotal role in delivering impactful projects that enhance public services. Enjoy the flexibility of remote working while being part of a collaborative culture that values innovation and continuous improvement, alongside opportunities for professional growth and development in a supportive environment. With competitive daily rates and the chance to work on complex systems, this position offers a meaningful and rewarding career path.
StudySmarter Expert Advice🤫
We think this is how you could land Informatica SME in London
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Talent before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Talent.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Talent.
We think you need these skills to ace Informatica SME in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Talent, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Talent, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Talent’s attention and show the tangible impact of your work.
How to prepare for a job interview at Talent
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Talent.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Talent.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Talent.
