Data Migration & Implementation Lead β€” Remote, Lead Tech Team

Data Migration & Implementation Lead β€” Remote, Lead Tech Team

Full-Time 58500 - 71500 Β£ / year (est.) Working from home possible
iamproperty

At a Glance

  • Tasks: Lead data migrations and coordinate a tech team to ensure smooth transitions.
  • Company: Join iamproperty, a forward-thinking company focused on innovation.
  • Benefits: Enjoy remote work flexibility and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on teamwork and client success.
  • Why this job: Make a real impact by leading data projects that enhance client experiences.
  • Qualifications: Experience in data migration and strong leadership skills required.

The predicted salary is between 58500 - 71500 Β£ per year.

iamproperty is seeking a Data Migration & Implementation Lead to spearhead data migrations from CRM systems into our platform.

You will lead a small team of two Data Engineers and one Software Engineer, coordinating migrations across clients and ensuring minimal disruption.

You will design Azure Data Factory pipelines, map data, perform quality checks, and develop runbooks with rollback plans.

Collaboration with product, onboarding and sales will be key to delivering on client commitments.

#J-18808-Ljbffr

Data Migration & Implementation Lead β€” Remote, Lead Tech Team employer: iamproperty

iamproperty is an exceptional employer that champions innovation in the property industry while fostering a supportive and inclusive work culture. With flexible working arrangements, a comprehensive healthcare plan, and a wellbeing allowance, employees are empowered to thrive both personally and professionally. Joining our diverse team as a Remote Conveyancing Paralegal means you will have ample opportunities for growth and development in a dynamic environment.

iamproperty

Contact Details:

iamproperty Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land Data Migration & Implementation Lead β€” Remote, Lead Tech Team

✨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 iamproperty!

✨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 Data Migration & Implementation Lead β€” Remote, Lead Tech Team at iamproperty.

✨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 iamproperty.

✨Apply Directly through Our Website

When you find a suitable opening like Data Migration & Implementation Lead β€” Remote, Lead Tech Team at iamproperty, 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 Data Migration & Implementation Lead β€” Remote, Lead Tech Team

Data Migration
Azure Data Factory
Data Mapping
Quality Assurance
Runbook Development
Rollback Planning
Team Leadership

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 iamproperty, 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 iamproperty. 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 iamproperty

✨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 iamproperty!

✨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.